351 to 375 of 4,924 Machine Learning Jobs in England

team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials … data security. Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML : Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What ...

architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool‐use patterns, human‐in‐the‐loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership—training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using … such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain ...

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment … with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale* AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using … such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain ...

feasibility, vendor capability, total cost of ownership, and time‐to‐value, then manage the chosen delivery path to completion. Work with data science and ML engineers, managing them to defined milestones and value targets. Monitor deployed solutions and manage model performance, iteration, and stakeholder reporting. Change Strategy, Narrative & Leadership Enablement … 8+ years in product/project management, AI delivery, or data science role, with hands‐on experience building and deploying AI or ML solutions in a business context. Proven track record of owning AI or data science use cases from identification through to live production - not advisory or strategy only. ...

build the backend services and capabilities that enable users to create, configure, test and deploy. You will work closely with frontend engineers, AI/ML engineers, product managers, UX designers, and platform teams to bring Agent Studio capabilities from concept through production. You will develop the services behind agent configuration … product requirements, and technical approaches are evolving rapidly. Strong communication and collaboration skills with the ability to work effectively across backend, frontend, AI/ML, Product, UX, and platform teams. Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

analytics technology landscapes and big data solutions. A bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform‐specific data certifications (e.g., GCP, Snowflake). Our Commitment to Inclusion ...

passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? About the team: We are a software engineering team responsible for developing and supporting business-critical platforms … wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture ...

Applied AI Machine Learning VP (Fraud Modelling) in the ICB Risk Modelling team, you will play a crucial role in developing and managing machine learning models used to mitigate fraud risk within ICB. You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal … concepts and results to both technical and business audiences. Team player. Preferred Qualifications, Capabilities, and Skills Experience with identity verification fraud models. Experience with ML model explainability. Experience with model risk management frameworks. #J-18808-Ljbffr ...

business is increasing its investment in AI, including Azure AI Foundry and wider Microsoft AI technologies. You dont need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. Youll have scope to develop that ...

investment in AI, including Azure AI Foundry and other Microsoft AI technologies. This isnt an AI Engineering role and you dont need deep ML experience. Practical exposure is enough to start the conversation - perhaps using Copilot or another LLM to support development, validate code, improve documentation, investigate problems or experiment ...

with GOV.UK Service Standard expectations and service assessment processes Experience defining or analysing human-in-the-loop or escalation workflows Familiarity with AI/ML concepts or tooling on AWS, Azure, or GCP Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed ...

solutions typically at the edge. The Defence domain represents many unique and cutting-edge challenges for software which needs to utilise the best in ML and edge compute to optimise operation on deployed equipment. Roke also utilised to the best in DevOps automation to drive faster capability deployment and uplift ...

with Microsoft Azure or other cloud platforms (AWS, GCP). Experience with graph databases and graph‐based data modeling. Experience contributing to AI/ML‐enabled tools in a scientific or data‐driven environment. Experience mentoring others or acting as a technical lead or point of reference. Experience with C#. ...

however candidates must be within commutable distance of the London office for occasional onsite visits). This is a highly hands‐on, AI/ML-enabled engineering position focused on building the platforms and automation that power modern software and AI workloads across the firm. The successful candidate must ...

integration strategies align with internal APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP). Continuously grow and develop skills across AI/ML and GenAI and increase business acumen Support client onboarding, vendor integrations, and managed service engagements by providing technical specifications and solution architecture for data flows. ...

transitions and operating model transformations for global financial services clients Published thought leadership in SRE, platform engineering, or IT transformation Experience with AI/ML‐driven operations (AIOps) and emerging automation technologies ITIL 4 Managing Professional or Strategic Leader certification Benefits We help take care of your today and tomorrow ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts , including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering ...

Springboot, or Python and modern application development.* Experience with microservices, APIs, CI/CD, and Agile development.* Experience working with or integrating AI/ML services.LLM integrations, AI-powered API* Working knowledge of AWS cloud services and cloud‐native architectures* Financial services or asset management experience preferred* Bachelors/Masters ...

cloud providers Experience working in a technical pre-sales capacity Experience with database programming and data models Experience in data engineering or AI/ML projects Understanding of popular sales methodologies/frameworks such as MEDDPICC/Command of the Message A the company Certification A Cloud Provider Certification What ...

/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science/ML components that complement optimisation (forecasting, demand estimation, delay prediction). Technical skills & tools Optimisation: Gurobi (or equivalent), model libraries/APIs, batching/warm starts, parameter ...

enterprise customers Comfort engaging CTO-level stakeholders as a technical peer, translating complex cross-domain technical work into strategic recommendations Familiarity with AI/ML services and practical experience using AI-assisted tooling to accelerate technical reviews, discovery, or operational analysis Professional oral and written communication skills, presenting ...

analysts and data scientists to ensure that high-quality, well‐modelled data is available for analytics and future AI use cases. Assist with productionising ML pipelines where needed, ensuring they run reliably within Databricks. Support feature engineering and experiment environments as part of the wider platform. Work cross‐functionally with ...