426 to 450 of 2,070 Machine Learning Jobs in the UK

organisation's data platform, including data warehouses, lakehouses, master data management solutions, and API frameworksDesign the data foundations required to support AI and machine learning initiatives, ensuring high-quality, trusted, and accessible data. Partner with Data Engineering, Data Governance, and Analytics teams to ensure architecture standards are consistently … Data Lakes, Data LakehousesData Mesh conceptsAPI-led architecturesEvent-driven integration patternsExperience architecting solutions that support both operational reporting and advanced analytics, including AI and machine learning workloads. Strong knowledge of Azure-based data platforms and cloud architecture principles. Familiarity with Master Data Management (MDM) frameworks and technologies. Experience ...

Building AI models is one thing. Getting them into production and delivering real impact is another. Lead Machine Learning Engineer - AI Location: Hybrid - UK (TBC) Salary: £60,000-£90,000 per annum Clearance: Active UK Government security clearance required Level: Lead A technology consultancy working across UK Government … National Security is looking for a Lead Machine Learning Engineer to design click apply for full job details ...

area. Those who havent been awarded their PhD yet will also be considered. Strong software development skills including Python and its various AI/ML focused libraries, version control (git) and Linux. A research mindset, able to plan and carry out a programme of research independently or collaboratively and produce … Network Security, AI Security, Cyber-Physical Systems Security, Systems Assurance, Software Assurance, Formal Verification, National Security, Security, Artificial Intelligence, AI, Machine Learning, ML, AI Agents, Agentic AI Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

Those who haven't been awarded their PhD yet will also be considered. Strong software development skills including Python and its various AI/ML focused libraries, version control (git) and Linux. A research mindset, able to plan and carry out a programme of research independently or collaboratively and produce … Network Security, AI Security, Cyber-Physical Systems Security, Systems Assurance, Software Assurance, Formal Verification, National Security, Security, Artificial Intelligence, AI, Machine Learning, ML, AI Agents, Agentic AI Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

Those who haven't been awarded their PhD yet will also be considered. Strong software development skills including Python and its various AI/ML focused libraries, version control (git) and Linux. A research mindset, able to plan and carry out a programme of research independently or collaboratively and produce … Network Security, AI Security, Cyber-Physical Systems Security, Systems Assurance, Software Assurance, Formal Verification, National Security, Security, Artificial Intelligence, AI, Machine Learning, ML, AI Agents, Agentic AI Another top job from ECM, the high-tech recruitment experts. xehkeey Even if this job's not quite right, do contact ...

Description Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire\n \n Lead Data Scientist/Deep Learning Practitioner\n \n \n About this role \n \n Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems … from complex data, working in close collaboration with our business partners. \n \n This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

build align with their teams' patterns. Over time, you'll rotate into other areas of the team's work, including productionizing and maintaining machine learning pipelines. Key ResponsibilitiesHelp build the game event data hub and ingest data from multiple studios. Develop and orchestrate data ingestion, preparation, quality checks … data assets need attention. Coordinate changes with studio data engineers to keep shared solutions aligned with their needs and patterns. Contribute to productionizing machine learning pipelines, monitoring them and making fixes as you rotate across the team's responsibilities. Required Skills, Knowledge and ExpertiseExperience building and operating data ...

fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving … forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF … degree in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrable experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based ...

expand into new customer segments, and build the underwriting capability needed to scale into Europe. We're looking for a senior ML leader to help shape that next phase. You'll lead a high-calibre team of ML scientists and help define Borrowing's ML roadmap across UK growth … advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou'll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence ...

expand into new customer segments, and build the underwriting capability needed to scale into Europe. We're looking for a senior ML leader to help shape that next phase. You'll lead a high-calibre team of ML scientists and help define Borrowing's ML roadmap across UK growth … advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou'll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence ...

already out there. Responsibilities Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … deliverables. Publish, contributing to papers, technical reports, and conference talks that put Oxfida's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. Knowledge ...

production systems. This is a high-ownership role where you will influence technical direction, architecture, developer velocity, and production stability. Own and evolve production ML infrastructure for training, deployment, serving, and monitoringBuild and improve CI/CD, automation, and model delivery workflows used across the engineering teamDevelop Python services, APIs … platform tooling that support production ML workloadsOwn reliability, observability, performance, availability, and security across production ML systemsTroubleshoot complex production issues across software, infrastructure, and ML workflowsDrive architecture decisions and partner with ML engineers, data engineers, and product teams to deliver scalable AI productsQualificationsMust-Have QualificationsBachelor's or Master's degree ...

field, or equivalent practical experience.8 years of software development experience, including system design, data structures, and algorithms.7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).5 years of experience in a technical leadership … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security … strategy — adaptation, fine-tuning, and dynamic cost/quality/latency-aware routing Set the standards for high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer — knowledge graphs, ontologies, vector search, and semantic retrieval — grounding the solution ...

RFPs, bids, client pitches and client events. Contributing internally through campaign development, think-tanks, whitepapers, offering development and practice growth, alongside your own funded learning, training and certifications. What You'll Bring Experience gained in a major consulting firm, or in industry with a consulting mindset comfortable … this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer ...