1,026 to 1,050 of 1,158 Machine Learning Jobs in the UK excluding London

other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen yourexpertisethrough oura culture of learning and growth –you’llhave budget to take courses (technical and non-technical training), plus gain certifications Responsibilities As aData Architectyou willhelp drive data … right task, youwill beexpectedtoarchitect solutionsforsomeoffollowing technologiesand capabilitiesto ensure scalable, high-performance applications: Multi-cloud,datawarehousingand datalakeplatforms Datamanipulation,integrationand ingestiontechnologies Programming/scriptinglanguages ML/AI frameworks Infrastructure & DevOpsconcepts andtooling, Semantic models and metrics layers Datagovernance tooling As a Principal Consultant, you will be expected to: Operate at a strategic ...

client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE As a member of the Data … technical stakeholders, translating complex concepts into clear, compelling narratives for senior audiences. Data & AI expertise – Strong understanding of data ecosystems and AI capabilities (e.g. ML, GenAI, analytics), with the ability to connect technology to tangible business value. AI strategy & delivery experience – Experience across the lifecycle from discovery and use case ...

Advise on modern data architecture, cloud data platforms, data warehouses, lakehouses, MDM, metadata management and data cataloguing. Evaluate AWS and GCP solutions, AI/ML platforms, integration, APIs and real-time streaming technologies. Support vendor selection, build-vs-buy decisions and technology investment priorities. Lead executive workshops and influence senior … expertise. Proven CXO, C-suite or senior executive advisory experience. Strong knowledge of AWS, GCP and modern cloud data architecture. Understanding of AI/ML lifecycle, data engineering and analytics. Excellent stakeholder management, consulting, facilitation and communication skills. Desirable Experience working with a Chief Data Office, GDPR, responsible AI, data ...

Staff Data Scientist, at Dowty, a GE Aerospace company, you'll work individually and/or lead horizontal teams to develop AI/ML/advanced analytics solutions which bring demonstrable value to Dowty (a GE Aerospace business). You'll be able to quickly assimilate customer requirements and translate … will lead and support junior team members. You will work closely with Dowty functional leaders to identify and prioritise suitable, impactful AI/ML projects and actively support business specific FLIGHT DECK initiatives including Kaizens, VSMs and gembas. You will be constantly engaging with the customer to maintain project focus ...

Datadog, and ELK. Provide technical leadership to a team of engineers, fostering collaboration, innovation, and continuous improvement. Partner across teams to align infrastructure with ML and HPC needs and advance operational maturity through SLAs, SLOs, SLIs, and error budgets. Qualifications Deep expertise in Infrastructure as Code with proven success deploying … problem‐solving abilities. Degree in Computer Science or related technical field, or equivalent experience in software and site reliability engineering. Preferred experience with distributed ML frameworks such as Horovod or TensorFlow Distributed, familiarity with data engineering pipelines such as Apache Airflow or Spark, and knowledge of chaos engineering tools ...

desktop applications, software architecture, and measurement and data‐analysis algorithms, leveraging cutting‐edge technologies and the latest advancements in software engineering and AI/ML/DL. You will partner closely with hardware, systems, product, and global engineering teams to deliver high‐quality products on schedule. Responsibilities Lead, mentor … distributed teams across the US, Europe, and Asia on system integration, software releases, and shared engineering best practices. Champion responsible adoption of AI/ML and AI‐assisted development tools under company security policies, remove obstacles, and foster root‐cause analysis and continuous improvement in process and product quality. Qualifications ...

service risk, delivery channel risk, sanctions exposure, external exposures (e.g., adverse media, financial intelligence), control effectiveness, and emerging Money Laundering/Terrorist Financing (ML/TF) risks Preparing, reviewing, and enhancing technical documentation for risk models, process/procedure enhancements and data analytics Providing recommendations to strengthen model governance, calibration … supporting materials aligned with FATF standards and immediate outcomes Participating in analytical reviews of sectoral data, supervisory findings, remediation trends, external developments, and emerging ML/TF risks to inform model enhancements, supervisory planning, and management decision-making Managing, supporting, and developing staff or project resources assigned to risk analytics ...

duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands‐on expertise in Microsoft Purview: metadata management, classification … embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas ...

duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands‐on expertise in Microsoft Purview: metadata management, classification … embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas ...

data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning. Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision‐making. Enable AI automation by delivering reliable, low‐latency, governed data products that … including governance and table maintenance. Experience with orchestration and streaming systems used in production (batch + real‐time), and managing backfills safely. Familiarity with ML data needs (training/serving splits, feature‐ready datasets, evaluation datasets) and AI‐adjacent workflows. Preferred Experience building self‐service data platforms (catalog, discoverability, access ...

targeted campaigns. Customer Engagement & Consultative Selling Support customer discussions byshowcasingVersion 1’s data capabilities in areas such as data engineering, analytics, AI/ML, and cloud data platforms. Work with technical pre‐sales teams to help shape tailored solutions that meet customer requirements.Ensurethesesolutionsare reflectedaccurately tosupportpositive salesoutcomesinproposals,tenderresponsesandcustomer presentations. Assistin refining … analytics, or cloud platforms. Experiencewith Azure Data Services, AWS, Databricks, Snowflake, Oracle, and Power BI. Solid understanding of data platforms, data engineering, AI/ML, analytics, and cloud ecosystems. Ability to work with senior decision‐makers (CIOs, CTOs, Heads of Data & Analytics). Ability to explain technical concepts clearly ...

years of professional software engineering experience, with strong day-to-day Python Command-line tooling experience: argument parsing, subcommand design, structured (JSON) output, and machine-readable error handling Experience with version control systems such as Perforce and Git. Solid grasp of testing practice: writing and maintaining unit and integration … Experience designing or operating agent-based automation for CI, QA, or code-generation workflows Background in Rust or another systems language; interest in ML/applied deep learning Contributions to open-source Python or CLI tooling Additionally, this position is eligible for benefits including, but not limited to, medical ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

data and AI solutions are accurate, secure, and accessible to stakeholders. This role is based out of Knutsford. Key Skills/Qualifications AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile ...

improve overall output quality. Technical Domain Focus Candidates should ideally possess expertise or interest in one or more of the following domains: AI/ML for imagery and remote sensing applications Reinforcement learning Natural Language Processing (NLP) & Large Language Models (LLMs) Knowledge graphs and graph-based neural networks …/ML applied to RF, Electronic Warfare (EW), radar, sonar, or acoustics Autonomous systems Requirements & Qualifications Essential Education: PhD in a relevant quantitative or technical discipline. Experience: Circa 10+ years of demonstrable experience in an AI/ML role within industry or academia (ideally with exposure to the defense ...

PEOPLE in the City of Edinburgh seeks an experienced Senior AI/ML Engineer to develop advanced multimodal understanding solutions across various content types. The ideal candidate will have a strong AI/ML background, with a Master's or PhD in a relevant field and 5+ years of commercial ...

Primark is seeking a Senior Data Scientist to join the Data Science & Measurement team in Reading. You’ll deliver advanced analytics, ML and experimentation solutions that drive measurable business value, working with stakeholders across functions to turn data into actionable business outcomes. You will lead ML design, data engineering ...

models powering real-time betting markets. The role involves developing predictive models, collaborating with trading and software teams, and applying state-of-the-art ML techniques in a fast-paced environment. The ideal candidate has a Master’s or PhD in a quantitative field, proven leadership of model design … deployment, and strong Python/R expertise with ML frameworks. Hybrid work is supported. #J-18808-Ljbffr ...

within the organisation. Solutions delivery focus – proven ability to execute and deliver practical solutions, working closely with engineering teams to bring architectures to life. ML/AI platform enablement – demonstrated experience productionising data science and ML/AI capabilities through the data lifecycle, including feature stores, training pipelines, model serving … patterns, and data platforms that enable ML at scale. Regulatory & compliance experience – designed and implemented compliant data solutions across regulated environments (PCI/SOX/HIPAA), ensuring adherence to industry standards and data protection requirements. Benefits Bonus scheme Uncapped holiday allowance Enhanced pension scheme Private healthcare Life assurance Income protection ...

JPMorganChase in Glasgow seeks a Software Engineer III to advance trusted, scalable tech in the AI/ML and Data Platform space. You will design, develop, and troubleshoot production-grade software while collaborating with data science and engineering teams to optimize deployments and security. The role emphasizes secure coding, automated ...

flagship products. You will design proprietary AI tools, execute high-impact Proof of Concepts (POCs), and architect data structures for scalable AI/ML systems. The role requires 6-8+ years in AI/ML design, strong Python skills, and experience deploying AI on AWS. You will drive semantic ...

business outcomes Partner closely with product managers and operators to turn cumbersome manual workflows into agentic and AI‐driven automations Work with AI and ML engineers to build AI‐native systems that combine deterministic logic, traditional ML models, and LLMs Design and build secure, compliant, and reliable systems at scale ...

Envitia is seeking an AI Engineer to join our UK AI team. You will design, build and deploy scalable, responsible AI and ML solutions for public sector clients, turning complex data into trusted insights and decision-support tools. This hands-on role spans ML, NLP, predictive analytics and Generative ...

agile mindset to systems engineering, building a culture of experimentation and learning. Collaborate with peers across the UK to promote a culture of continual learning and improvement, acting as a change agent for systems engineering. Day‐to‐Day Duties Influence the development of engineering artefacts, their technical direction … systems engineering, building a culture of experimentation and learning. Collaborate with peers in similar roles across the UK to promote a culture of continual learning and act as a change agent for systems engineering. Qualifications and Experience Experience in applying governance and guidance on Systems Engineering LCM processes. Experience ...