751 to 775 of 4,046 Machine Learning Jobs in England

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. Metrics & Analytics Platforms,withinThe Core Engineering, isresponsible for the measurement and management of the firm’s risk, capital ...

experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. … evaluation data for hundreds of metrics and components that comprise the Waymo Driver. We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. You will: Build scalable systems for training and fine-tuning large-scale generative ...

this uncomfortable.Nice to Have:Familiarity with Data Mesh or Lakehouse architectures.Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks.What’s it like to work at Zego At Zego, we operate like a high-performing sports team. We come together … buildPrivate medical insurance, for you and your familyPension, generous holiday, and 1,000 a year to spend on getting to the office or learning something newCutting-edge systems and tools, so you always have what you need to drive your impactIf you’re ready to help build the real ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. Metrics \& Analytics Platforms, within The Core Engineering, is responsible for the measurement and management of the firm’s risk ...

data.Microservices architecture, including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP).Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AIPA’s common technology components:Google CloudCloud RunCloud FunctionsKubernetes Engine, Compute Engine, VPCsCloud Spanner, Cloud SQL and BigQueryDataflow, Apache BeamVertex ...

data-led enterprise where work directly influences how life-changing medicines are discovered, developed, and delivered. Here technology platforms, advanced analytics, AI and machine learning are combined with leading science to solve complex problems at pace. Colleagues are encouraged to experiment with modern tools, challenge the status ...

high-pressure production incidentsDesired* Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis* Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions* Hands-on experience with containerization technologies such as Docker and Kubernetes ...

analytical datasets- Collaborative analytical workflowsPreferred QualificationsExperience with one or more of:- Posit Connect- R package development- SQL- Arrow or DuckDB- AI-assisted analytical workflows- Machine learning methods for exploratory analyses- Clinical dashboards and interactive reporting- User training and scientific presentations- Familiarity with software development workflows and contributing feature ...

curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth … multi-year initiatives that span business and technology across enterprise customersPreferred qualifications Deep expertise in Generative AI, Agentic AI, or cloud-native AI/ML solutions Agentic Platform (AgentCore & Bedrock), AI SDLC (Kiro & AI Migrations), and Business Productivity (Quick). Experience orchestrating cross-functional delivery teams (consulting, engineering, partners) from ...

commuting distance of London, able to work 1–2 days a week from our central office. Nice to have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

both technical and non-technical audiences. You’ll stand out if you bring Championing a data mindset across the org. Applying advanced analytics/machine learning techniques to real-world datasets. IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data ...

handle high-pressure production incidentsDesiredExperience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster ...

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

Building partnerships and working collaboratively with others to meet shared objectives.Collaborates and communicates without boundaries, continuously removes organizational barriers; Focuses on continuous improvement and learning at scale. Excellence in execution Planning and prioritizing work to meet commitments aligned with organizational goals. Consistently achieving results, even under tough circumstances.Approaches priority … productivity and cohesiveness in changing environment is required.Financial acumen is required.Knowledge & Experience (preferred):Experience in Site Management and Monitoring optimal. Experience implementing AI/ML-driven planning or feasibility tools.Background in oncology and/or rare disease clinical development.Experience with CTMS/data platforms and integrated data environments.Education/Certifications ...

platforms (embedded insurance, white-label sales flows, partner-driven experiences). Having shipped something agentic to production, or worked alongside engineers building AI or ML systems. Comfort with cloud-native data warehousing (Snowflake or comparable) and the analytics or AI data layer. Experience working in a distributed team across distant … leave additional paid leave designed to support rest and wellbeing once standard leave has been utilised. Personal development allowance flexible annual benefit to support learning, wellbeing and personal growth. More about us Open is an AI-powered platform transforming insurance globally making it more transparent, cost-effective and customer ...

systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service ...

business outcomes. Key responsibilities Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...