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Software Engineer (LabVIEW) Gloucester £45,000 - £65,000 + Annual Salary Reviews + Private Healthcare + 32 Days Holiday + Pension + Benefits Are you a LabVIEW developer looking to work on cutting-edge automation and data acquisition projects while gaining exposure to global clients and advanced control systems? This is an excellent opportunity to join a well-established engineering company specialising in bespoke software development and system integration for industrial automation, vision systems, and R&D environments. You will play a key role in designing and delivering high-performance control and data acquisition solutions using NI LabVIEW. In this role, you will work closely with customers to develop tailored applications, integrate software with complex hardware systems, and provide technical support throughout the lifecycle of projects. You will also contribute to continuous improvement initiatives and have the opportunity to travel across the UK and occasionally overseas. The ideal candidate will have a strong technical foundation in engineering or science, practical experience within automation or instrumentation, and a proactive, problem-solving approach. This is a fantastic opportunity for someone looking to grow their career in a collaborative and technically advanced environment. The Role: Design, develop, and test LabVIEW applications for real-time control and data acquisition Integrate software with hardware systems including sensors and NI platforms Support system deployment, troubleshooting, and ongoing improvements Provide technical support and guidance to clients Occasional UK and international travel The Person: Degree in Engineering, Physics, Computer Science, or similar (2:1 or above preferred) Experience with LabVIEW and industrial automation or control systems Familiarity with NI hardware (e.g. CompactRIO, PXI, DAQ) desirable Strong problem-solving skills with attention to detail Reference Number:BBBH276013 Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

At CGI, you'll help organisations improve how they work by supporting projects that simplify processes, solve business problems, and deliver real value. This is a great opportunity for someone early in their consulting career who wants to build strong foundations in process improvement, stakeholder engagement, and business change. You'll work as part of a supportive team, learning from experienced consultants while taking ownership of defined tasks and workstreams. You'll contribute to meaningful transformation projects and gain exposure to senior stakeholders, structured methodologies, and data-driven decision making. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner, not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll provide training, mentoring, and hands-on experience to help you grow your consulting career. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to obtain it. This is a hybrid role, with an expectation of being on client site 1–2 days across the UK per week on average.

At CGI, we help organisations turn complex data into powerful, trusted platforms that enable smarter decisions and lasting impact. As a Senior Data Engineer, you'll be instrumental in designing, building, and evolving a large-scale data platform that underpins critical business outcomes. Working within a collaborative DevOps environment, you'll deliver resilient, scalable data solutions while shaping best practice and driving continuous improvement. You'll be encouraged to take ownership of your work, explore creative approaches to data engineering challenges, and grow your career within a supportive culture that values collaboration, innovation, and real-world impact. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid role offering flexibility to balance on-site collaboration and remote working. You'll primarily work from home or your local CGI office, with occasional travel to client workshops or team sessions at key locations such as Birmingham, London, Manchester, or Leeds.

Data Scientist Location: Derby (5 days per week onsite) Reporting to: Head of Research and Experience Department: Services Level: Data Scientist (Junior-Mid Level) Job Overview We are seeking a Data Scientist to join a growing team delivering data-driven solutions across a range of complex and innovative projects. Working alongside experienced data scientists, engineers, and business stakeholders, you will contribute to the development, deployment, and optimisation of machine learning models and analytical solutions. You will gain exposure across the full data science lifecycle, including data exploration, feature engineering, model development, validation, and deployment. This role is well suited to someone with a solid foundation in data science who is looking to further develop their technical expertise in a collaborative, fast-paced environment. Key Responsibilities Support the development, testing, and deployment of machine learning models and analytical solutions. Clean, transform, and analyse structured and unstructured datasets from multiple sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and business insights. Collaborate with data scientists, engineers, and stakeholders to understand requirements and solve business challenges. Create clear documentation, reports, and visualisations for both technical and non-technical audiences. Contribute to code reviews and continuous improvement of data science practices and workflows. Assist with model monitoring, validation, retraining, and performance optimisation activities. Support workshops, demonstrations, and stakeholder presentations where required. Required Skills & Experience Essential 1-3 years of experience in a Data Scientist, Data Analyst, or related analytical role. Strong programming skills in Python and/or R. Experience using machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. Good understanding of statistics, data preparation, feature engineering, and exploratory data analysis. Strong problem-solving skills and the ability to communicate technical concepts effectively. Experience with data visualisation tools and libraries such as Matplotlib, Seaborn, Tableau, or Power BI. Ability to work effectively within a collaborative team environment. Desirable Exposure to cloud platforms such as AWS, Azure, or GCP. Experience writing SQL and working with relational databases. Understanding of model deployment approaches and MLOps concepts. Awareness of AI governance, ethics, bias mitigation, and data privacy principles. Degree qualification in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Additional Information Location: Derby, 5 days per week onsite. Candidates must have the right to work in the UK. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Senior Data Analyst Our Client is Venture Capital firm based in London. We invest in early-stage businesses with strong growth potential and have been lucky enough to back some amazing entrepreneurs. They are looking for someone who loves data, and data software, to help maintain and develop its data and reporting efforts – must have at least 5 to 7 years proven track record of working with Data and Excel. This is a unique opportunity with a leading Venture Capital Fund to use your technical and organisational skills to support some of the leading European technology companies. Your responsibilities would include: Reporting: - Investor Statements Monitoring valuations for early stage, private businesses Creating processes to ensure data is up to date, complete and accurate Investment data collection: Building and maintaining connections between data sets, including financials, notes, PDFs and excel data sets Keeping internal investment and co-investment data up to date Supporting the investment team with answering data requests Developing new solutions for data capture and management Helping analyse new investment opportunities with data provided in market research and data rooms The Company are a small team, so are looking for someone that is proactive and willing to roll up their sleeves and get stuck in. In particular, we are looking for someone who: - Is passionate about start ups - Has a strong grasp of data sources - Has a good eye for detail - Has strong numeric ability and enjoys reconciliations - Has a strong work ethic and enjoys multi-tasking - Is experienced in designing internal process and reports - Is experienced in implementing and maintaining data systems - Has strong communication skills, with the ability to extract, structure and share data for internal reporting and queries. - Is personable and energetic - Takes pride in their work and enjoys seeing tasks through to completion - Can work independently as well as part of a team - Is good at meeting deadlines and prioritising work - Has experience in online data capture platforms such as Airtable - Has experience in building macros in excel would be an ideal The Company is based in Central London. The salary for this role will be in the range £60K - £80K. Do send your CV to us in Word format along with your salary and availability.

Enterprise Data Architect As the enterprise data architect, you will own the programme pipeline for developing our data architecture strategy, including translation of our goals and objectives into enriched data dashboards. You will define and direct SXSW London's target data architecture (inc. shared data environments, data model and standards) in support of our business strategy, ensuring that data is accurate, secure and accessible to meet the needs of senior executives and department heads. Responsibilities Accountable for the data architecture & design, including implementation of company-wide data models, incorporating relevant governance frameworks, and architectural standards. Develop architectural solutions resulting in a single source of truth data lake warehouse, utilising Power Bi with built-in AI design considerations. Lead the design and development of scalable data pipelines and solutions, which support our event operations across our customer journey and channels. Collaborate with stakeholders and external technology partners to promote consistent and value driven data usage. Communicate the value of data management, through workshops and proof of concepts in partnership with business and technology partners Develop data architecture governance and standards, regarding data models and capabilities, including ability to logically model marketing and financial data. Connect disparate sources to provide seamless data access. Define KPI and Metrics for data dashboard. Map existing data sources and identity data access points. Create dedicated stakeholder UAT group for continuous output assessment. Build an executive dashboard. Configure integration and workflows. Create automation and refresh schedules. Setup training and confidence workshops. Integrating ML and AI into dashboard reporting Required Deep knowledge of modern data architecture. Experience within Cloud platforms (Azure, AWS, Databricks). Strong understanding of ETL/ELT, API's and integration patterns. Strong communication and stakeholder engagement. 5years+ in data architecture or related fields. Deep understanding of Information Security, alongside privacy and compliance regulations. Proven experience in enterprise-scale data modelling. Expertise in metadata management. Excellent analytical, planning, organisational and technical skills along with excellent written and verbal communication skills. Experience in translating complex technological requirements to an audience with minimal technical insight. This is a hybrid position based in the City of London. The position is a 6 month FTC role. The salary for this role will be circa £40K - £45K. Do send your CV to us in Word format along with your salary and availability.

Lead Technology Full Stack Engineer - 100% Remote - OUTSIDE IR35 You will lead a team of engineers, working across both front-end and back-end technologies while collaborating with architecture, cloud, product, and data science teams. The position is ideal for a hands-on technical leader who enjoys building scalable products and mentoring high-performing engineering teams. Lead Technology Full Stack Engineer Responsibilities Own end-to-end technical design and delivery across React, TypeScript, Vite, and Golang platforms. Define API standards, service architecture, and application design patterns. Lead engineering design reviews, code reviews, and technical decision making. Establish development standards, testing frameworks, and quality controls. Design and maintain CI/CD pipelines, containerisation, and cloud deployment processes. Collaborate with architects and data science teams to integrate AI and machine learning capabilities. Work closely with product and UX teams to deliver intuitive customer experiences. Provide technical governance, engineering assurance, and risk management across delivery programmes. Lead Technology Full Stack Engineer Skills and Experience Minimum 5 years' full stack engineering experience. Strong expertise in TypeScript, React, and modern front-end development. Strong Golang development experience including microservices and API development. Experience designing cloud-native SaaS platforms within AWS, Azure, or GCP environments. Must have knowledge of Open Banking, PSD2, payment processing, or financial services integrations. Proven experience leading engineering teams and mentoring developers. Strong understanding of Agile software delivery practices. Experience with gRPC, GraphQL, AI integration, event-driven architectures, or real-time processing desirable. To apply, please send your CV by pressing the apply button. Due to high volume of applications, only shortlisted CVs will be contacted.