251 to 275 of 1,249 Machine Learning Jobs in the UK

Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‐driven applications. Prepare and structure data for dashboards, reporting, and machine learning solutions. Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems. Manage CI/CD deployments and version … Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt , Power BI , or similar data analytics tools. Understanding of machine learning , AI integration , and vector databases . Interest in UI design or Agile project delivery. Additional language proficiency is a plus. Why Join ...

exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. … colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong ...

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch click apply for full ...

complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY … expect to be involved in the following: Developing and maintaining large-scale data pipelines and backend systems in Python . Working with AI/ML datasets to help train and deploy new detection models. Building and improving integrations, and working on greenfield product developments. Collaborating with data science and applications ...

Computer Science, Engineering) Experience using Python is a must Experience of data visualisation tools (e.g. Tableau, Power BI) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using data, analytics and AI to solve investment problems … further details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

function focused on building scalable, production-grade AI solutions. This role is hands-on and delivery-focused, working at the intersection of data engineering, machine learning, and large language models to enable real business outcomes. You will play a key role in designing, building, and operating AI platforms … experience as an AI Engineer, Machine Learning Engineer, or LLM Engineer in a production environment Strong Python skills and experience with modern ML/AI frameworks Hands-on experience working with LLMs, including prompt design, orchestration frameworks, and application integration Solid understanding of data engineering concepts, including data ...

contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models … versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face ...

intelligence, reporting, and analytics needs. They will leverage their expertise in Tableau BI, AWS, and Python coding to build scalable data solutions, while applying machine learning techniques to enhance insights and automate data processes. Ensuring data quality, security, and compliance across all initiatives will be key to their … business goals. • Write clean, reusable, and well-documented Python code for data processing and analysis. • Maintain clear documentation for data pipelines, ETL workflows, and ML models. KNOWLEDGE AND SKILLS • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field. • Proficient in Python, including libraries like ...

Title: Senior Machine Learning Engineer - £120,000 Base Location: Hybrid/London-based Role Type: Full-time, Permanent The Opportunity We are looking for a Senior Machine Learning Engineer to build the infrastructure and pipelines that power our AI solutions. In this role, you will move ...

Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles. Key Responsibilities … ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code quality, deployment standards, and best ...

looking for a Senior Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

technical teams understand how to use data effectively. Providing input into the future direction of advanced analytics, including the potential transition of existing machine learning models from third-party to in-house ownership (desirable exposure). This role is less about building infrastructure and more about extracting value … data platforms and modern BI stacks (e.g. AWS, Snowflake, dbt, Power BI). Awareness of machine learning concepts and experience working alongside ML practitioners or models. WHY APPLY? Play a pivotal role in taking a data function from strong foundations to real business impact. Work directly with senior ...

technical teams understand how to use data effectively. Providing input into the future direction of advanced analytics, including the potential transition of existing machine learning models from third-party to in-house ownership (desirable exposure). This role is less about building infrastructure and more about extracting value … data platforms and modern BI stacks (e.g. AWS, Snowflake, dbt, Power BI). Awareness of machine learning concepts and experience working alongside ML practitioners or models. WHY APPLY? Play a pivotal role in taking a data function from strong foundations to real business impact. Work directly with senior ...

hiring a Mid-Level Data Scientist to join a growing London-based Data Science team. This role sits at the intersection of research, production ML, and high-impact short-form analysis, offering exposure to multiple projects rather than a single narrow product. You’ll work hands-on with Python … cloud-based ML systems, contributing across the full data science lifecycle — from early experimentation and proof-of-concept work through to deployment and iteration in production. There’s a strong emphasis on solid engineering fundamentals alongside classical data science skills. This is a great opportunity for a generalist data scientist ...

looking for a Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

apply their knowledge effectively in real-world scenarios. In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python … Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others through knowledge sharing Qualifications: Desirable degree in Mathematics ...

apply their knowledge effectively in real-world scenarios. In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python … Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others through knowledge sharing Qualifications: Desirable degree in Mathematics ...

insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through … post-marketing surveillance. We are committed to invest in continuously enhancing our validated and peer reviewed disease optimised machine learning Ai analytics services and our infrastructure and technology to support our ambitious growth strategy. Our people are empowered to enable us to achieve our company goals and their ...

closely with data engineers to define data requirements and pipelines. Performing exploratory data analysis and recreating key business KPIs. Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards. Developing, deploying and maintaining machine learning models. Evaluating project impact through experimentation and A/ ...

Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models … Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

Description Undertake a supervised project on methods related to the quantum enhanced simulation of material (e.g. density functional theory, post DFT methods and machine learning), efficient representation of chemical and materials problems on quantum devices or close related projects. Requirements Essential criteria: Currently pursuing a PhD (or recently … relevant discipline. Flexibility to work across different aspects of quantum software and underpinning theory. Desirable criteria: Experience in materials discovery and use of machine learning methods to enhance workflows. Enthusiasm for learning and novel research. Excellent communication skills. To apply, please click on "Apply for this ...

communication Other: Mapping/location-based services There’s also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don’t need ML experience … React Native/Expo experience MongoDB Fastify or similar Node frameworks Mapping or location-based services Payments (e.g. Stripe) Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy ...

quality, security, and maintainability matter. What you’ll be doing Designing and developing object-oriented software using C#, C++, and Python Integrating AI/machine learning components into production applications Building and maintaining APIs, services, and microservices Working across the full Software Development Life Cycle (SDLC) Translating requirements … clearance or eligibility to obtain it (UK residency required) Desirable experience Experience with AI agents, autonomous systems, or decision engines Exposure to LLMs, machine learning models, or AI APIs CI/CD, automated testing, and Git experience Agile delivery (Scrum/Kanban) Cloud platforms (Azure, AWS, or similar ...

Title: AI Engineer (Digital Health)/Machine Learning Engineer/AI Lead/Generative AI Engineer/Aritificial Intelligence Level: Mid-Level Location: United Kingdom (Hybrid working) Salary: £60,000£90,000 + benefits Employment Type: Permanent The Opportunity We are a Specialist Digital Health Consultancy working with … quality. What Were Looking For AI & Engineering Experience Around 25 years experience in software engineering, with at least 12 years working with AI/ML or Generative AI in a commercial setting. Solid Programming Foundations Strong skills in Python and/or JavaScript , with a good understanding of APIs, data ...