Find your next tech and IT Job or contract Machine Learning

What you need to know about Machine Learning

Machine Learning is a branch of artificial intelligence that enables computer systems to learn from data and improve without direct human intervention. Machine Learning uses algorithms and statistical models to detect patterns, make predictions, or offer recommendations. It can work in different ways: with supervised learning, where the model is trained on labeled data to predict specific outcomes, with unsupervised learning, where it explores unlabeled data to identify structures or groupings, or with reinforcement learning, where the system learns through trial and error to maximize a reward. This technology is used in many sectors, such as image recognition, virtual assistants, recommendation systems, or industrial automation, and it plays a key role in data exploitation and technological innovation.

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Permanent

Job VacancySenior Solutions Architect

Nexus Jobs Limited
Published on

£70k-100k
Holborn, England, United Kingdom
Senior Solutions Architect Our Client is an international consultancy with over 3000 employees. They are now looking to recruit a Senior Solutions Architect to be based at the Company's Central London Offices. You will extensive and deep Expertise in following Application Development areas: " Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. " Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka " Solution architect with broad expertise in wide range of digital technologies in areas of application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like TDD, BDD, Performance/Load testing etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web /mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. " Exposure to polyglot programming languages like Scala, Python and Golang will be a plus " Ability to read/write code and expertise with various design patterns " Have used NoSQL database such as MongoDB, Cassandra, etc. " Work on opportunities along with sales, practice, delivery teams through the pre-sales process " Develop customer proposals - solution architecture, pitch decks, estimating solution effort, resourcing and timelines " Translate requirements into solution architecture diagrams, implementation roadmap, delivery approach and other artifacts " Understand business & technology issues /challenges and translate that to modern technology solutions " Engage with business and IT groups to align solution architecture with strategic business direction " Build a trusted advisor relationship with business and technology leaders Stay periodically engaged throughout the entire project lifecycle to ensure ongoing alignment to established solution vision " Bachelors or master's degree in engineering (computer, electronics, etc.) " 20+ years of Solutions Architecture experience (or equivalent enterprise architecture experience) and in customer-facing roles " Vertical domain knowledge in Financial Services will be an advantage " Excellent written and verbal communication skills " Experience in client-driven large-scale application platform implementation projects " Experience and desire to work in a global delivery environment Ability to travel up to 40% " Familiarity with architecture modeling tools. TOGAF experience / certification desired but not necessary " Proven track record of designing / developing scalable solutions at the enterprise level " Demonstrated success in quickly understanding business needs and aligning it to technology solutions " Experience delivering solutions using an Agile / Scrum methodology Strong communications skills (e.g. active listening, requirements elicitation, oral, written, presentation, workshop facilitation, consensus building) The Clients offices as based in Holborn - Central London. The salary for this position will be based on expertise and will be in the range £70K - £100K. Please do send your CV to us in Word format along with you salary and availability.
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Permanent

Job VacancyBig Data Scientist

Nexus Jobs Limited
Published on

£75k-90k
Manchester, England, United Kingdom
Big Data Scientist - Expert – Manchester Our Client an international organisation is looking to recruit a Big Data Expert with 7 to 10 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 close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.
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Contractor

Contractor jobBig Data Analyst

Nexus Jobs Limited
Published on

£300-450
London, England, United Kingdom
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.
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Permanent

Job VacancyDéveloppeur Microservices .NET / Angular – Data & IA

AVA2I
Published on
.NET
Angular
Python

Ile-de-France, France
Dans le cadre de l'accélération de sa transformation technologique et digitale, un grand groupe bancaire recherche un Développeur Microservices .NET / Angular confirmé. Le consultant intégrera une équipe internationale spécialisée dans les plateformes Data & IA, les architectures Big Data, les Data Lakes, les environnements Lakehouse Cloud, la Business Intelligence et le déploiement de solutions de Machine Learning Missions principalesConcevoir, développer et maintenir des microservices en C#/.NET Core 6+. Développer et intégrer des API REST selon les standards et patterns de l'équipe. Contribuer ponctuellement au développement d'interfaces front-end avec Angular. Participer aux choix d'architecture et à la conception technique des solutions. Réaliser les revues de code et garantir la qualité des développements. Développer et maintenir les pipelines CI/CD avec Jenkins et Groovy. Gérer les déploiements avec XLDeploy et XLRelease. Déployer et maintenir les applications conteneurisées sur OpenShift/Kubernetes. Utiliser Git et Bitbucket pour la gestion des versions et la collaboration. Rédiger et maintenir la documentation technique. Participer aux cérémonies Agile : Sprint Planning, Daily Meeting, revue et rétrospective. Collaborer quotidiennement avec les équipes basées en France et au Portugal. Compétences techniquesC# / .NET Core 6+ : niveau confirmé. Architecture microservices, API REST et design patterns : niveau confirmé. Jenkins, Pipeline as Code et Groovy : excellente maîtrise. XLDeploy / XLRelease : pratique courante. OpenShift / Kubernetes : pratique courante. Git / Bitbucket : excellente maîtrise. Angular : capacité à intervenir ponctuellement sur le front-end. Python : connaissances appréciées. Conteneurisation et environnements Cloud/Data : bonne compréhension.
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Contract roles and jobs for Machine Learning

Data Scientist

The Data Scientist uses Machine Learning to develop predictive models based on complex data.

Data Analyst

The Data Analyst uses Machine Learning to automate data exploration and identify key trends.

AI/Machine Learning Developer

The AI/Machine Learning Developer specializes in creating machine learning models to solve complex problems such as image recognition, natural language processing, or data prediction.

R&D Engineer

The R&D Engineer designs and develops innovative solutions using Machine Learning techniques to enhance products or processes within an organization.

Data Developer (BI / Big Data / Data Engineer)

The Data Developer (Business Intelligence/BI/Big Data/Data Engineer) implements machine learning models in data pipelines to extract useful insights and optimize decision-making processes.

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