301 to 325 of 4,521 Machine Learning Jobs in England

governance frameworks. You will ensure that data from various sources is well-organised, accessible, and AI-ready, working closely with data engineers and ML engineers to build robust data pipelines and maintain high data quality for analytics and model development.ResponsibilitiesData Modelling & Schema Design: Develop and maintain data models (conceptual, logical … support model interpretability and enable troubleshooting of data issues, which is critical in AI development.Collaboration with Engineering Teams: Work closely with data engineers, ML engineers, and data scientists to ensure the data architecture meets their needs. You will collaborate on designing data interfaces (e.g. APIs or query endpoints) and assist ...

identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers … closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands‐on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation ...

clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.Lead, manage … biotechnology industry.Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI)/Machine Learning (ML) -driven analytics and multimodal data integration.Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation ...

such as drug discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence.The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such … ontologies, taxonomies, controlled vocabularies, and metadata standards.Experience with NLP, entity extraction, entity linking, semantic enrichment, search, ranking, recommendation, or knowledge graph methods.Exposure to production ML systems, MLOps, data pipelines, and model monitoring.Work in a way that works for youWe promote a healthy work/life balance across the organization. ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting‐edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business‐critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

proof of concepts, and help identify opportunities where AI can unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning … LLMs , helping deliver innovative capabilities that create real business value. Location: London, United Kingdom What you’ll own Assess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applications Continuously research and evaluate emerging AI technologies, models, prototype new AI capabilities, and run proof ...

high-quality human signals across the Cint Exchange. This role involves advanced data mining, robust data validation, and the development of sophisticated statistical and machine learning methodologies.The ideal candidate can independently research, develop, and maintain high-impact solutions that align Cint’s AI capabilities with market research trends … text generation and data synthesis.Advanced knowledge of statistical techniques: hypothesis testing, sampling theory, experimental design, and causal inference.Strong knowledge of a variety of ML techniques (e.g., clustering, regression, neural networks, etc.) and their real-world trade-offs.Expert proficiency in Python (DS/ML stack) and experience with frameworks used ...

based product portfolio. Partner with product managers, content managers, and senior stakeholders to design, build, deploy, and optimise state of the art AI, ML, LLM, and GenAI solutions. Use AI to broaden reach, engagement, and utilisation across our services. Identify opportunities to drive efficiency through AI across the wider business. … machine learning, or a related STEM field. Strong leader, able to communicate clearly at all levels. Track record deploying business critical ML models in production. Experience building and scaling RAG applications with semantic search and text embeddings. Cloud computing experience, ideally Azure, AWS, or GCP. Strong ML ...

Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured ...

Platform Engineer, you'll play a key role in designing, building, and operating a modern AWS cloud platform that supports large‐scale data processing, machine learning, APIs, and web applications. Working in a highly collaborative environment alongside Data Engineers, Developers, Data Scientists, and Architects, you'll help deliver … driven products. Key Accountabilities and Duties Design, build, and operate the cloud infrastructure and platform services that support data platforms, analytics workloads, AI/ML services, APIs, and web applications. Develop and maintain reusable infrastructure patterns, deployment frameworks, and automation capabilities using Infrastructure as Code. Build and optimise cloud‐native ...

TypeScript, JavaScript, HTML5, CSS and Tailwind. Build healthcare and research applications that support clinical, operational, and AI-enabled workflows. Collaborate with Product, AI/ML/Data Engineering, IT/Infrastructure and Business teams to translate requirements into effective software solutions. Design and develop application features that incorporate AI/… ML capabilities. Integrate AI services and machine learning models into production applications through APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment ...

TypeScript, JavaScript, HTML5, CSS and Tailwind. Build healthcare and research applications that support clinical, operational, and AI-enabled workflows. Collaborate with Product, AI/ML/Data Engineering, IT/Infrastructure and Business teams to translate requirements into effective software solutions. Design and develop application features that incorporate AI/… ML capabilities. Integrate AI services and machine learning models into production applications through APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment ...

TypeScript, JavaScript, HTML5, CSS and Tailwind. Build healthcare and research applications that support clinical, operational, and AI-enabled workflows. Collaborate with Product, AI/ML/Data Engineering, IT/Infrastructure and Business teams to translate requirements into effective software solutions. Design and develop application features that incorporate AI/… ML capabilities. Integrate AI services and machine learning models into production applications through APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment ...

this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure ...

commerce industry would be a distinct advantage.ResponsibilitiesDesign, implement, and maintain Python services within our pricing platform, including data-processing logic and the integration of ML/optimisation models. Write clean, efficient, well-tested code for backend logic and data services.Build and optimise data pipelines on AWS to collect, transform … .Knowledge of design patterns and software architecture.Strong problem-solving and analytical skills.Good presentation and teamwork skills.Comfortable working in both Agile and Waterfall methodologies.DesirableFamiliarity with ML/optimisation frameworks used to productionise pricing models.Git for version control, with Bitbucket for collaboration, and experience configuring CI/CD pipelines (Bitbucket Pipelines ...

growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design, build and optimise scalable data pipelines while developing and deploying machine learning solutions that solve complex business challenges. Working across cross-functional teams, you'll help deliver robust, secure and high-performing data products. What youll be doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models ...

orchestrate workflows using BPM tools, decision engines, and custom microservices Pilot and scale emerging technologies such as Generative AI where appropriate. Implementing AI/ML models for exception management, document classification, anomaly detection, and operational intelligence Identify areas for tech‐driven innovation and rapidly prototype solutions with internal or vendor … Java or C++ Strong experience managing vendor solutions and integrations Strong hands‐on experience with enterprise automation tools (RPA, BPM, workflow engines) and machine learning frameworks in production environments Deep understanding of Operational processing workflows and challenges in areas like trade matching, exceptions management, regulatory compliance etc Experience ...

advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported.Job Responsibilities:Architect, develop, and productionize autonomous and assistive AI agents to enhance … Advanced degree in Computer Science, Data Science, Machine Learning, or related field.Experience building and deploying agentic AI applications in production environments.Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.Hands-on experience with ...

chain, service, and digital surgery domains.This role will build and lead a team spanning data engineering, analytics, data product management, and applied AI/ML/GenAI and will partner deeply with business and functional stakeholders to ensure business intimacy and measurable value realization.Key Responsibilities1) Strategy & Outcomes (Business Value … Regulatory Affairs, Legal, and Quality functions.4) AI Enablement & Model Lifecycle (From Pilot to Scale)Lead the end-to-end lifecycle for applied AI/ML/GenAI solutions: use case intake, feasibility, data readiness, model development, validation, deployment, monitoring, and lifecycle governance.Enable scalable AI creation and deployment patterns aligned ...

across some of the UK's most complex and high-impact programmes. We're looking for DV Cleared professionals with experience in Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or Palantir Technologies to join a growing team based in Central London . Whether you're a recent … love to hear from you. We're Looking For You may have experience in one or more of the following: Artificial Intelligence (AI) & Machine Learning Generative AI & Large Language Models (LLMs) Palantir Foundry, Gotham or AIP Data Engineering & Data Analytics Software Engineering Python, Java or similar programming languages ...

systems to address business challenges, enhance decision-making, and drive innovation. Responsibilities: Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing ...

engagements across the aviation sector Lead technical discovery sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures … tooling and emerging technologies Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science.Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision … making across PlayStation.This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based … decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality ...

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science.Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...