976 to 1,000 of 1,728 Machine Learning Jobs in England

distributed systems Experience with messaging (Kafka/MQ), data modelling, and APIs Solid DevOps: CI/CD, containers, cloud platforms Hands‐on AI/ML experience and integrating AI into solutions Background in financial services (ideally Corporate Actions or post‐trade) Ability to influence without authority in complex organisations Tech ...

experience of cloud data architecture and design patterns for building a data Lakehouse Data Science & Analytics: Sufficient understanding to validate whether data models support ML/analytics use cases Data Governance: Experience of data governance, data quality frameworks, and data management practices ...

developing scalable Python services, API architecture, and large-scale data integrations that enable AI products across the organisation. This is not an AI/ML management role. Instead, you'll be responsible for building the engineering foundations that make AI initiatives possible, leading a team responsible for creating the platforms ...

developing scalable Python services, API architecture, and large-scale data integrations that enable AI products across the organisation. This is not an AI/ML management role. Instead, you'll be responsible for building the engineering foundations that make AI initiatives possible, leading a team responsible for creating the platforms ...

experience operating reliable, scalable production systemsNice to HaveExposure to AWS, Azure, or GCPFamiliarity with CI/CD or Git-based workflowsExperience with AI/ML or agent-based tooling in operationsUnderstanding of identity, access control, and security best practicesExperience with OpenStack (Cinder, Manila)Awareness of ITIL or service management frameworks ...

business. You will act as the design authority for data modelling, ensuring that data assets support analytics, reporting, regulatory requirements, and AI/ML use cases. Working across multiple domains, you will bring alignment to key business concepts and enable scalable, reusable data products. This role is ideal for someone ...

Publications in top architecture conferences such as ISCA, MICRO, HPCA, or ASPLOS Experience with dynamic language runtimes or compiler optimisation Exposure to AI/ML inference workloads on CPU platforms Experience contributing to production silicon Interest in AI-assisted architecture exploration and optimisation ...

completion NICE TO HAVE BigPanda certification or formal training APM and distributed tracing experience - OpenTelemetry, Jaeger, Zipkin Kubernetes at scale Familiarity with AI/ML concepts applied to AIOps - anomaly detection, predictive alerting, topology mapping WHAT'S ON OFFER Complex, high-impact work across serious enterprise clients from ...

technical and non‐technical stakeholders. High ownership and comfort operating independently. Helpful backgrounds include Trust & Safety/Integrity, Fraud & Abuse, Security analytics, AI/ML model measurement and evaluation, Alignment and AI safety research, Biosecurity, synthetic biology, infectious diseases, or computational biology. Why This Role Work on mission‐critical problems ...

completion NICE TO HAVE BigPanda certification or formal training APM and distributed tracing experience - OpenTelemetry, Jaeger, Zipkin Kubernetes at scale Familiarity with AI/ML concepts applied to AIOps - anomaly detection, predictive alerting, topology mapping WHAT'S ON OFFER Complex, high-impact work across serious enterprise clients from ...

SysML/UML using CAMEO, Rhapsody. IBM Jazz (DOORS-NG and Test-Manager/Quality-Manager). Experience in Matlab & Simulink. AI/ML Tools and techniques. Experience of working with Software teams and developments (e.g. Agility, Sprints, Kanbans). Using collaborative teamworking tools (sharepoint, JIRA, Confluence). ...

based ecosystems like AEM. Strong background in modern web technologies (React/React Native, Node.js) and system architecture. Experience with AI/ML initiatives. Technical Leadership Experience with DevOps and CI/CD tools and practices. Strong grasp of system design for scalability, testability, and security. Experience implementing Agile ...

operate autonomously Confident working in fast-moving, ambiguous environments Nice to Have Exposure to Power BI and modern reporting ecosystems Awareness of AI/ML concepts within data platforms Experience working within fintech or digital banking environments Team & Environment Flexible hybrid working model at the London office Occasional client travel ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

grade solutions that unite strategy, data, and technology and foster a culture of excellence and innovation. Translate major technologies transforming life sciences—AI/ML, digital health, RWE platforms, data interoperability, and next‐gen commercial architectures—into meaningful strategic implications for clients. Client Partnership, Trust & Growth Act as a trusted ...

5+ years of experience in selling enterprise software Good knowledge and experience with Data Integration, Data Warehousing, Databases, Business Intelligence, Data Analytics, AI/ML concepts and products. Good understanding of enterprise IT architectures and corporate data strategies and solutions. Capable of managing all aspects of the sales cycle from ...

business and line of business strategy, including vision, business case, design, and phased roadmap. Drive innovation and continuous improvement, leveraging data and AI/ML to resolve challenges and inform decisions. Engage with clients on our product, feedback, and rollout of capabilities. Develop and implement strategies to maximize product adoption ...

Familiarity with laboratory standards such as 21 CFR Part 11, GLP, or ISO 17025 is a plus. Computer Vision: Experience with CV libraries and ML techniques for analysing recorded or live device data. SQL & Data Integration: Experience working with SQL for querying, storing, and supporting application or product data, including ...

Familiarity with laboratory standards such as 21 CFR Part 11, GLP, or ISO 17025 is a plus. Computer Vision: Experience with CV libraries and ML techniques for analysing recorded or live device data. SQL & Data Integration: Experience working with SQL for querying, storing, and supporting application or product data, including ...

single agent session. Failure-mode analysis — instrumenting agents, reading traces at volume, surfacing patterns engineering can act on. Essential 4+ years shipping AI/ML products in a startup or applied industry setting, with recent hands-on experience with LLMs and agentic systems. Demonstrated depth in at least ...

data fabric principles where appropriate. • Define architecture patterns that support trusted data pipelines, reporting, self-service analytics, near real-time insight and AI/ML workloads. • Embed data governance, privacy, security, resilience, performance, automation and cost effectiveness into solutions from the outset. • Lead architecture activity across discovery, design and delivery ...

with the ability to challenge convention. Strong understanding of automation, workflow optimisation, and process re-engineering. Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. Experience working in agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding ...

platforms and enterprise systems also define API strategies, event flows, data pipelines, and governance models that ensure data integrity and enable analytics, AI/ML, and seamless interoperability with enterprise systems while contributing to best practices, reusable architecture patterns, and integration frameworks for IDBS products. Drive technical design decisions , balancing ...

product from 0 to 1, from conception to production Has been responsible for the development of a tool, e.g. leading engineer Familiarity with ML/AI concepts or developer tools for AI applications Experience with evaluation frameworks for AI systems Previous work on developer tools or APIs, e.g. B2B SaaS ...

providing a deep understanding of how to navigate formal governance, security constraints, and organisational culture when driving innovation. Broad technical acumen in AI/ML and data analytics - able to understand the fundamentals of AI technologies, data requirements, and solution approaches sufficiently to engage in technical discussions and identify potential ...