Find your next tech and IT Job or contract role.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Ways of Working: We value autonomy - youll be trusted to manage your own projects, drive modelling initiatives, and take ideas from concept to production Youll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team Youll have the chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and AML patterns Requirements Industry experience in data science or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

???? Elevate Your Career: Join a Market Leader in Automation Technology???? Data Scientist Position- Up to £95,000 + Benefits - Remote First (UK) - Office Visit Once a Month Are you ready to make your mark in the world of AI and data science? This is your chance to join a cutting-edge company at the forefront of Automation Technology. With increasing profits and renewed success, our company is expanding, making now the perfect time to join our dynamic team. Why This Role is Unique: As the first dedicated Data Scientist within our organisation, you will play a pivotal role in building our AI and data capabilities from the ground up. This is a hands-on position where you'll have the autonomy to innovate and drive impactful AI solutions, with the potential to grow and lead a data science team in the near future. Key Responsibilities: • AI Innovation: Develop and implement next-generation AI solutions to revolutionize our automation and supply chain software. • Data Mastery: Utilize your expertise in R/Python, SQL, and Azure to extract, analyse, and interpret complex data sets. • Machine Learning: Design and deploy machine learning models that drive business insights and operational efficiencies. • Cutting-Edge Tools: Leverage advanced AI tools (e.g., Copilot) to enhance data-driven decision-making. • Platform Integration: Build and optimize data platforms to support scalable, robust data solutions. What We're Looking For: • Technical Proficiency: Strong experience with R/Python, SQL, Azure, and AI tools. • Machine Learning Expertise: Proven track record in developing and deploying machine learning models. • Data Platform Experience: Solid understanding of data platforms and their integration within a business context. • Innovative Mindset: A hands-on, practical approach to problem-solving, with a passion for building and scaling AI capabilities. What We Offer: • Competitive Salary: Up to £95,000 • Remote First: Work remotely with the flexibility to visit the office once a month. • Work-Life Balance: 37.5 hours per week (Monday-Friday). • Generous Leave: 25 days holiday + public holidays, rising to 30 days after 5 years. Option to purchase up to 4 additional days annually. • Pension & Assurance: 3% employer pension contribution (Scottish Widows) and life assurance (2x basic salary). • Perks & Benefits: Access to Perkbox and Medicash, and eligibility to join our electric vehicle scheme. • Continuous Learning: Exposure to new technology with company-sponsored learning and development opportunities. Why Join Us? At our company, we are constantly evolving and staying ahead of the latest technological advancements. This is a fantastic opportunity to be part of an innovative environment where your skills will be valued and your career growth encouraged. You will have the chance to work on groundbreaking AI solutions that have a real impact on our industry. Ready to Make an Impact? If you are a dynamic Data Scientist looking to be a key member of an exciting technology company, we want to hear from you! Apply now and take the next step in your career with us. Ignite your potential with us - where innovation meets opportunity! To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Ways of Working: We value autonomy - youll be trusted to manage your own projects, drive modelling initiatives, and take ideas from concept to production Youll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team Youll have the chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and fraud patterns Requirements Industry experience in data science or machine learning models, ideally in fraud, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

???? Elevate Your Career: Join a Market Leader in Automation Technology???? Data Scientist - Up to £95,000 + Benefits - Remote First (UK) - Office Visit Once a Month Are you ready to make your mark in the world of AI and data science? This is your chance to join a cutting-edge company at the forefront of Automation Technology. With increasing profits and renewed success, our company is expanding, making now the perfect time to join our dynamic team. Why This Role is Unique: As the first dedicated Data Scientist within our organisation, you will play a pivotal role in building our AI and data capabilities from the ground up. This is a hands-on position where you'll have the autonomy to innovate and drive impactful AI solutions, with the potential to grow and lead a data science team in the near future. Key Responsibilities: • AI Innovation: Develop and implement next-generation AI solutions to revolutionise our automation and supply chain software. • Data Mastery: Utilise your expertise in R/Python, SQL, and Azure to extract, analyse, and interpret complex data sets. • Machine Learning: Design and deploy machine learning models that drive business insights and operational efficiencies. • Cutting-Edge Tools: Leverage advanced AI tools (e.g., Copilot) to enhance data-driven decision-making. • Platform Integration: Build and optimize data platforms to support scalable, robust data solutions. What We're Looking For: • Technical Proficiency: Strong experience with R/Python, SQL, Azure, and AI tools. • Machine Learning Expertise: Proven track record in developing and deploying machine learning models. • Data Platform Experience: Solid understanding of data platforms and their integration within a business context. • Innovative Mindset: A hands-on, practical approach to problem-solving, with a passion for building and scaling AI capabilities. What We Offer: • Competitive Salary: Up to £95,000 • Remote First: Work remotely with the flexibility to visit the office once a month. • Work-Life Balance: 37.5 hours per week (Monday-Friday). • Generous Leave: 25 days holiday + public holidays, rising to 30 days after 5 years. Option to purchase up to 4 additional days annually. • Pension & Assurance: 3% employer pension contribution (Scottish Widows) and life assurance (2x basic salary). • Perks & Benefits: Access to Perkbox and Medicash, and eligibility to join our electric vehicle scheme. • Continuous Learning: Exposure to new technology with company-sponsored learning and development opportunities. Why Join Us? At our company, we are constantly evolving and staying ahead of the latest technological advancements. This is a fantastic opportunity to be part of an innovative environment where your skills will be valued and your career growth encouraged. You will have the chance to work on groundbreaking AI solutions that have a real impact on our industry. Ready to Make an Impact? If you are a dynamic Data Scientist looking to be a key member of an exciting technology company, we want to hear from you! Apply now and take the next step in your career with us. Ignite your potential with us - where innovation meets opportunity! To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

Academic research with real industrial applications This world-class research centre is focused on delivering the science needed to advance UK capabilities in AI and Data Science for the defence and security domains. They conduct pioneering research, publishing papers and releasing proof-of-concept software and hardware systems. They are seeking a versatile scientist to join the team. They use modern machine learning / data science techniques and algorithms to solve these challenging problems. They work in a variety of areas including radar, communications, electronic warfare, and AI itself. The core of their work is developing fundamentally new approaches and taking advantage of recent breakthroughs in ML. Specific domain knowledge of the problem areas is not required, but a good general background in Physics is. Requirements: • PhD in a STEM subject which has provided exposure to modern machine learning / data science techniques • Strong and holistic background in Physics • Confident communicator prepared to present work at academic conferences and write formal papers for publication • Fluency in Python for Machine Learning development You will be working in well appointed offices in central London alongside other high achieving academics. Your work will have tangible results and part of your job will be to ensure successful transfer to industrial partners. As a highly research orientated organisation, hybrid working is the norm, with only 1-2 days per week required in the office. This is a fixed-term contract role for 18-months, but with further funding your role may be continued. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: TJ27405 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical Responsibilities: Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities Develop prototypes and proof of concept demonstrators Take ownership of tasks in projects and deliver to challenging standards Work effectively both on self-directed projects and as part of a project team Effectively present results to both technical and non-technical audiences Undertake mentoring of junior staff working on similar research topics Patent and/or publish (e.g. in academic conference and journal articles) novel concepts and research findings, where appropriate. Essential Knowledge, Skills and Experience: PhD or equivalent industry experience in a relevant discipline Several years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data processing (including sonar) Distributed sensing and processing Autonomy Human machine teaming Space-domain Awareness (SDA) Positioning, navigation, and timing Pattern of life analytics Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

Big Data Scientist ??????\" Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability details.

Job Title: Mass Properties Engineer Location: Barrow-in-Furness, Brough, Weymouth, Bristol, Portsmouth, Frimley, Manchester - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Competitive What you’ll be doing: Collate mass property data for equipment and systems to deliver weight and centroid control on multi billion pound submarine programmes Support the Mass Properties Lead to aggregate weight and centroid reports and present the status to the Chief Naval Architect Collaborate with system design engineers to accurate estimate mass, centroid and design maturity of multiple mechanical and electronic systems Maintain a comprehensive database of parts mass properties Provide input to and lead weight saving strategies and maintain the list of weight risk and opportunities for each discipline area Interrogate CAD models to determine estimates for mass properties with associated uncertainties Utilise statistical analysis to provide a whole boat picture of weight risk and opportunity to senior leaders, stakeholders and our customers Your skills and experiences: Essential Qualified in STEM subject or extensive experience Ability to work independently and as part of a team IT literate in Microsoft packages, experienced knowledge in Excel Ability to understand and interpret engineering data Desirable Experience working with large, Electrical or Mechanical systems Data analysis experience including interpretation, visualisation, manipulation and presentation Experience of using CAD packages and programmes CEng/IEng status or a clear pathway to achieving professional recognition Benefits: You’ll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You’ll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts - you may also be eligible for an annual incentive. The Weight Engineering team: The Weight Engineering Team are a multi-disciplinary Team of Engineers and Data Scientists who estimate, collate and present mass properties data for a number of multi billion pound submarine programmes. The Weight Engineering team are a specialist team who play a critical role in the whole boat design and assuring whole boat safety. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 1st July 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-KW1 #LI-Hybrid #LI-Onsite

Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121659 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring that solutions are both innovative and effective. You'll work as part of an empowered, multi-disciplinary AI team who's purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside a Data Scientist, AI Strategy Lead and Delivery Management you will focus on engineering activities within our AI Strategy which is focussed on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. You will work closely with data scientists to understand data requirements, clean and organize data, and build efficient, scalable capabilities. Our unique customers have interesting, complex data. You will conduct practical AI experiments to test technical assumptions and assess technology maturity to meet user needs. As an engineering expert in AI/ML you'll be expected to develop, test and validate applications using machine learning models, demonstrating how they can mature from prototype to product. You will provide support to other early adopter engineering teams attempting to develop and integrate their own machine learning solutions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be helping to develop innovative products & services that support our customers mission. You will have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you’ll be doing it for an organisation who makes a huge impact to the security of the UK. About you You will have experience in many of the following: Prototyping applications using machine learning (ML) models to test feasibility and impact. Engineering and implementing ML-based solutions, with proven ability to own the end-to-end process and lifecycle of ML systems. Deploying models and handling technical aspects of making models operational to meet user needs. Integrating models within applications, and incorporating them into wider systems. Monitoring model performance through regular evaluation of deployed models, identifying performance gaps and opportunities for optimisation. Researching techniques by continuously exploring the latest ML and AI advancements to identify methods that can enhance current systems. Adhering to policy and ethical AI standards, ensuring machine learning practices comply with compliance processes and guidelines. Providing technical guidance in the implementation and integration of machine learning to other cross-functional teams. Programming in one or more of Python, Java, .Net, JavaScript, C++. Using MLOps tools and frameworks. Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce. Utilising containerisation technologies e.g. Docker, Kubernetes. It would be great if you also had experience in some of these, but if not we’ll help you with them Optimising models from data scientists by working closely with them to refine, optimise, and implement models based on prototypes. Defining and improving MLOps processes by creating and refining the model development and deployment strategy for better efficiency and results. Ensuring the quality and accessibility of data used for machine learning projects is appropriate, collaborating with data engineers as necessary. Performing data analysis to enable machine learning engineering tasks, such as ethics/bias assessments or exploratory data analysis to inform model development/deployment pattern choice. Maintaining comprehensive documentation of model development, including methodologies, performance evaluations, and deployment details. Developing and running solutions Cloud-based environments & Cloud ML Services e.g. AWS, MS Azure. Integrating with relational, document, search and graph database systems. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office You’ll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You’ll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You’ll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We’ll do everything we can to ensure you have fun at work, and in social activities outside of it whether that’s virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years’ experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We’re a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You’ll get to work on a variety of different systems for different customers throughout your career with us. We’re passionate about Diversity and Inclusion in our workforce and the people you’ll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA For more information please visit our website: -hidden link- Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential.