426 to 450 of 1,109 Machine Learning Jobs in the UK

accurately ingested, transformed and integrated into reliable systems and user-facing solutions. Alongside pipeline development and quality assurance, you will support the productionisation of machine learning and statistical models, helping to ensure analytics solutions are scalable, efficient and maintainable. You will contribute to embedding software engineering best practice ...

work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them ...

Athena, Redshift, EC2, CloudWatch, IAM) and event-driven patterns. Certifications (nice to have) AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services). This role requires additional vetting, which means this could take longer than our normal onboarding process. All profiles will be reviewed ...

data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical ...

compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with ...

Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements ...

Company Description Ededge Learning is a ground-breaking organization dedicated to nurturing the potential of our youth and empowering them to explore the vast world of technology and other high-growth fields. Our upcoming initiatives will provide invaluable learning experiences by allowing audiences to gain insights from accomplished … Work closely with our esteemed data science team to gather, refine, and analyse extensive datasets, refining skills in data pre-processing and visualization. Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures. Utilize Python programming for Exploratory Data Analysis ...

most critical artificial intelligence and machine learning initiatives. You will oversee the end‐to‐end delivery of programs that embed AI/ML models and advanced data analytics into our core credit risk decisioning and management processes. This strategic role requires a blend of program management discipline … sophisticated understanding of the AI/ML lifecycle, and deep expertise in the credit risk domain. You will act as the key bridge between data science, technology, business, and control functions to ensure changes are delivered responsibly and effectively. What’s on Offer Hybrid Working – we understand that employee expectations ...

with Product and Engineering teams Support rapid experimentation and innovation by providing pragmatic, risk‐based guidance that enables delivery at pace Advise on AI, machine learning, and data‐driven products, including governance, risk assessment, and responsible data use Work closely with Legal, CISO/Security, and Data teams … reduce carbon emissions, extra festive time off, and excellent family‐friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Our hybrid working model requires Trainliners to be in the office at least 60 % of the time over ...

Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world’s largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key "Domains … contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations. As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries ...

working independently and with initiative, while maintaining a high level of accuracy and attention to detail. A strong commitment to continuous improvement and ongoing learning is essential, ensuring solutions remain effective, secure and aligned with organisational needs. Desirable experience includes working within a healthcare or public sector environment … well as experience of supporting AIenabled tools or machine learning solutions within an operational or service delivery context. Equality, Diversity and Inclusion NHS England is committed to equality, diversity and inclusive working practices. We value difference, operate with integrity and openness, and recognise the importance of responsible, ethical ...

seeking a Machine Learning Engineering Leader to oversee its critical ML function. This role involves owning the team and strategy while ensuring performance and collaboration across engineering disciplines. The ideal candidate will demonstrate strong management experience in ML, proven people development skills, and an ability to thrive ...

replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools - Matillion, Alteryx, Qlik PowerBI Machine Learning, Generative AI and Agentic AI. ...

Principal Machine Learning Engineer to lead the development of cutting-edge speech solutions. The role focuses on developing and deploying advanced ML models, mentoring engineering teams, and defining the technical vision for their ML stack. Candidates should have a strong understanding of modern ML frameworks, proven experience ...

Python, Snowflake, dbt, Airflow & Looker. AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, SageMaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity. About the Growth Team you’ll be joining The Growth team’s mission is to bring … your own benefits budget to spend on things you want, whether that’s subscriptions, night classes, the big shop or a forest of houseplants. Learning and development : Personal budget for books and training courses to help you grow in your role and 2 learning days a year. Mental ...

review tasking for Data Science team members. Develop analytical, predictive and visualisation solutions using modern data science techniques. Prototype and evaluate emerging AI and machine learning technologies. Develop robust, high-quality software applications and tools. Provide technical guidance and mentoring to colleagues. Report progress and technical outputs … data related subject. It would be great if you also have: A strong background in statistics and data assimilation techniques. Prototyping AI/ML techniques (e.g. LLMs and neuromorphic systems). Knowledge of Electromagnetic Spectrum systems such as Radar, Electronic Warfare or Jamming technologies. An interest in GPU-accelerated architectures ...

people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters … scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues ...

leading tech research organization in Greater London is seeking a skilled Machine Learning Engineer to join their Reinforcement Learning Team. This role focuses on advancing AI through original research and developing cutting-edge algorithms that combine scientific and applied innovation. Candidates should have a strong academic background … Computer Science, expertise in reinforcement learning or Bayesian optimisation, and proficiency in Python. This is an exciting opportunity to contribute to high-impact AI projects within a dynamic multinational team. #J-18808-Ljbffr ...

communication skills Desirable Skills React/TypeScript frontend experience Infrastructure as Code GraphQL/AppSync Event-driven architectures IoT/edge systems AI/machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team ...

Experience Strong experience in software engineering, delivering complex distributed or microservice-based systems. Proven capability building and operating production applications with embedded AI or machine learning features. Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant. Solid experience ...

Civil Service or public sector environments. * Interest in AI safety, AI evaluation methodologies or educational technology. * Experience working closely with data science, AI or machine learning teams. * Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Civil Service or public sector environments.* Interest in AI safety, AI evaluation methodologies or educational technology.* Experience working closely with data science, AI or machine learning teams.* Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata ...

some of the UK's most important defence, intelligence and cyber programmes. You'll join teams delivering cutting-edge capabilities across DevSecOps, Artificial Intelligence, Machine Learning, Cyber Security and Geospatial Intelligence, working with modern technologies in complex operational environments. Due to the nature of the work, candidates must ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...