1,151 to 1,175 of 4,963 Machine Learning Jobs in England

SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations ...

SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build ...

legacy technologies from multiple eras, ensuring business-critical systems remain stable while new, modern components, built with open architecture, APIs and microservices, data/ML capabilities, and cloud where appropriate are introduced progressively to support Commercial Banking growth ambitions. As an HSBC employee in the UK, you will have access … legacy technology stacks such as Docker, Kubernetes, microservices, API gateways (Kong), REST, Kafka, React Familiarity with large-scale transformation using analytics and AI/ML Opening up a world of opportunity Being open to different points of view is important for our business and the communities we serve. At HSBC ...

concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation Act as a subject matter expert on healthcare data architecture, translating complex regulatory and technical requirements (HIPAA, GDPR, HL7/… Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best‐practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high‐quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit‐learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

LangGraph, LangChain, Haystack or similar , together with the ability to work below the framework level when required. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Experience building search and retrieval … development principles, including ISO 27001, NIST or OWASP. Experience within defence, national security or other highly regulated environments. Contributions to open-source AI/ML projects. Security Clearance Due to the nature of the work, applicants must be eligible to obtain UK security clearance . Candidates will generally need ...

multi-cloud environments. Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments. Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks. Continuously improve reliability and scalability … tenant environments. Ability to balance rapid iteration with production-grade quality , shipping reliable backend systems in fast-paced environments. Collaborative mindset , working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale. PLEASE NOTE:Our policy requires a 90-day waiting period before ...

self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform … integration with third party systems and ingestion through APIs) Scope and deliver new data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

similar AI/LLM frameworks , together with the ability to work below the framework level when necessary. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Hands-on experience building search … with highly regulated, mission-critical or data-intensive organisations. Experience with large-scale data platforms and distributed search. Contributions to open-source AI/ML projects. The Engineering Challenge This isn't a role focused on experimenting with AI in notebooks or stitching together a collection of third-party APIs. ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

Required Skills AI ML Python JavaScript Job Summary Solution Engineer – Enterprise AI (6-Month Contract) Waterloo, London , Onsite: 5 days per week £650 - £700 per day Duration: 6 months About the Role This is not a high‐level advisory role. As a Solution Engineer you will be on the ground ...

harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high … ensure our solutions are maintainable and scalable. Skills & Experience Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready ...

Care team. Care is an area with significant opportunity and real customer impact; you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving, from LLM-powered automation to customer compensation logic. Here’s what your day-to-day might look like … full ML lifecycle: Lead the design, development, and productionisation of machine learning models used in customer support and high-stakes decision systems. Architect for reliability: Build robust monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in real-time. Collaborate on product strategy: Partner ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

Posted on 08/12/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Overview We are seeking a highly skilled Security Solution Architect with strong expertise ...

responsible AI, and Microsoft 365 Copilot. Excellent communication, leadership, consulting, and stakeholder management skills. Desirable Skills Experience with Copilot Studio, Azure DevOps, AI/ML frameworks, and SharePoint agent development. Relevant Microsoft certifications such as MS-900, MS-700, MS-100, or AI-102. Why join? The Microsoft Partner offers ...

Posted on 09/12/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Overview We are seeking a highly experienced Senior Network SRE with deep expertise ...

business goals, and use insights to drive continuous improvement. Stay ahead of mobile trends at the intersection of iOS, Android, and generative AI and ML models. About You: 5-7 years in Product Management experience with a focus on mobile applications that have hardware counterparts (iOS and Android). Proven ...

Proactive, resourceful and comfortable taking responsibility in a small, fast‐moving engineering team. Experience with Apache Airflow, Kubernetes, real‐time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial‐market systems would be useful, but is not essential. Why Permutable? Real Ownership: Take responsibility for important production ...

tooling. Strong Microsoft Sentinel expertise: KQL, detection rules, workbooks, and logging pipelines. Working knowledge of DLP and threat intelligence monitoring. Experience applying AI/ML to security workflows – automated triage, behavioural analytics, or LLM‐assisted investigation. Understanding of AI security risks and frameworks: OWASP LLM Top 10, NIST AI RMF. ...

Department of Computer Science seeks to strengthen and expand its research in AI & Machine Learning through the appointment of a Lecturer or Senior Lecturer in AI/Machine Learning. The successful candidate will be expected to grow a world-leading research portfolio in an area of their … Criteria A PhD or equivalent (including industrial) experience in AI/Machine Learning.A record of high-quality publications in the best AI/ML outlets, such as ICML, NeurIPS, AISTATS, JMLR, PAMI, ICLR, IJCAI, AAAI, UAI. Desirable Criteria Demonstrated ability to obtain research funding and to manage research projects.We ...