276 to 300 of 1,356 Machine Learning Jobs in the UK

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. ...

Principal 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 ...

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 ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer ...

environment A business passionate about solving complex problems and delivering innovative, high-quality solutions that make a real impact An organisation embracing AI and machine learning to create smarter, faster, and more effective solutions They are looking for top-tier talent, including graduates from Russell Group universities, ready … innovation. You will apply AI techniques, explore new technologies, and deliver intelligent solutions that set the standard for the industry. If you enjoy learning, creativity, and making an impact, this role is for you. What the Successful Software Developer can expect from their duties Full ownership of AI-driven ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

lead a team of Data Scientists and act as a subject matter expert on the development of Data Science solutions using Python and Azure machine learning studio. You will maintain a high level of engagement between the Data Scientists on the coordination of machine learning pipelines. … claims management, dispute resolution, and knowledge sharing within the NHS. Our purpose is to provide expertise to the NHS to resolve concerns fairly, share learning for improvement and preserve resources for patient care. We have over 830 employees across the UK Job description Job responsibilities Previous managerial experience leading ...

style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios. Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives … portfolios. Clearly communicate model results, insights, and recommendations to stakeholders, including both technical and non-technical audiences. Stay current with advances in statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: University degree in a STEM field (e.g., Mathematics, Statistics, Computer ...

position requires strong technical capability combined with stakeholder engagement and risk awareness. Key Responsibilities Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows. Analyse business processes with stakeholders to identify automation opportunities and define clear requirements. Develop automation scripts … stakeholder engagement and business risk considerations where required. Technical Skills Required Proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. ...

collaborative Data Science team responsible for developing, optimising, and deploying models that power conversational data products. Your work will include: Building and fine-tuning machine learning and LLM-based models for real-time data interaction Designing and improving NLP and data-driven pipelines across multiple products Applying strong … learning development A solid mathematical foundation and the ability to reason about quant-style problems Experience working with NLP models, LLMs, and modern ML techniques Exposure to financial data, trading concepts, or quantitative analytics Experience with model training, fine tuning, and evaluation Familiarity with cloud deployment (AWS preferred ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this … design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience with AWS, Machine Learning models, agentic AI pipelines would be beneficial. What you'll get in return The company offers 25 days' holiday plus bank holidays ...

want to shape how AI transforms game development at global scale? Have you built production ML systems that go beyond research prototypes? Are you ready to lead technically without taking on line management? A tier-1 global gaming and consumer technology brand is hiring a Principal Machine Learning … improve how large-scale games are tested, validated, and shipped. The focus is on automating QA through intelligent gameplay agents and advanced video-based ML systems. You will lead technically, drive delivery, and mentor others while remaining hands-on across research and production. Key Responsibilities Lead design of anomaly/ ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot … Quicksuite, and AWS SageMaker. Strong programming skills in Python, Java, or similar languages commonly used for AI and automation. Experience in designing and operationalising machine learning models in a production environment. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting. Strong communication ...

measures. Design, prototype, validate, and deliver end‐to‐end data science and AI solutions, from discovery through to production. Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‐based and RAG‐enabled approaches. Support the operationalization of models and AI solutions, including deployment … accelerators, best practices, and Insight capability development. Skills we can’t do without for the senior role: Client stakeholder engagement Applied data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning ...

Engineer - Graduate Considered: Contribute to various technical tasks to support research and development objectives, gaining hands-on experience across software engineering, data science, and machine learning in a dynamic start-up setting. Work alongside team members to design and develop software solutions addressing the companys unique challenges. Develop … techniques for data collection, preprocessing, and optimisation to support machine learning and algorithm development. Take responsibility for managing and maintaining operational company systems, primarily Linux-based. What this offers: An opportunity to join a success story in the making Joining founders who are well-versed in taking graduates ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

chance to join a growing data and AI business that blends proprietary software with hands‐on analytical consultancy. You will work on cutting‐edge machine learning products used by financial services clients, quant teams, and large enterprise customers. The Company They are an established data and software organisation … learning. • Solid grounding in maths, statistics, or a related quantitative discipline. • Background working with financial services data or trading‐focused models. • Experience building ML models end‐to‐end, including optimisation and error analysis. • Knowledge of LLMs, finetuning, conversational AI, or modern NLP techniques. • Comfortable working in a collaborative environment ...

development teams to ensure data operations run smoothly and delivery is to plan Establish scalable, efficient, and automated processes for large scale deployments (including machine learning solutions) Manage, monitor, and troubleshoot machine learning infrastructure. Develop and maintain relationships with stakeholders to understand their data needs ...

want exposure to multiple industries within your first year in Data Science? Have you ever wanted to apply machine learning in real client-facing commercial settings? Are you ready to build consulting skills alongside technical depth from day one? A global strategy consultancy is hiring a Data Science … projects • Conduct EDA, statistical analysis, and dataset evaluation • Build dashboards and insight tools for stakeholders • Contribute to commercial proposals and client presentations • Support internal ML tool development and innovation initiatives • Collaborate with digital teams on data-driven product offerings Key Details: • Salary: Up to £55,000 base • Sign ...

making models. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate with colleagues to implement AI and machine learning models against real-world challenges. Technical Excellence: Apply your software engineering skills to build scalable, reliable solutions. Grow & Share: Contribute … TypeScript. Experience with Palantir technologies: Foundry, Gotham, or similar platforms (preferred) Strong understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

models. Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries. AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes. Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence … workflow design at enterprise scale. Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments. Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

Junior Data Analyst to join their Digital Solutions team. Reporting into the AI/Data Science Specialist, this will be a hands-on, learning-focused role where you'll be supporting across a portfolio of digital projects spanning AI, IoT, analytics and operational improvement. You'll need … Data Science, Computer Science, Mathematics, Statistics etc. You'll also need to be skilled in data preparation, exploratory analysis and visualisation. Having experience with Machine Learning is beneficial as you'll contribute towards experimentation, validation and structured analytical work. You must be an excellent communicator ...

scientists and other engineers to develop sensing and imaging terahertz solutions. As a Python Developer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly … have experience with embedded software and/or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior ...

Responsibilities: Develop and deploy data science solutions to support national security missions. Build and optimise data pipelines for processing large, complex datasets. Apply machine learning and statistical techniques to extract actionable insights. Create clear visualisations to communicate findings to stakeholders. Collaborate in agile teams to deliver robust, scalable … cloud-based deployments and integration into operational environments. Job Requirements: Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation. Knowledge of machine learning models and statistical techniques, including validation. Understanding of data analytics and data visualisation techniques. Ability to process large datasets via batch ...