126 to 150 of 2,472 Machine Learning Jobs in the UK excluding London

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this … research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning … and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity More ❯

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯

and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels … and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. More ❯

a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. Responsibilities Build machine learning models for business applications. Implement advanced scheduling solutions and develop scalable processes. Make strategic, data-driven decisions that shape last-mile delivery. … Drive impactful projects that influence customer experience and operational excellence. Minimum Requirements 6+ years of experience in building machine learning models for business applications. Knowledge of programming languages such as C/C++, Python, Java, or Perl. Experience with neural deep learning methods and machine learning. … Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field. PhD in a related field preferred. 15+ years of relevant, broad research experience. Deep expertise in Machine Learning and proficiency in programming. Core competency in mathematics and More ❯

Senior Machine Learning Engineer Salary: £65,000-£100,000 Location: London - 5 days a week in office, can then become hybrid post probation Join a dynamic team of Machine Learning Engineers working on high-impact, machine learning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small team, to build and scale ML models focusing on rendering and 3D graphic design Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects … junior members, whilst learning from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance More ❯

Senior Machine Learning Engineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play a … critical role in shaping products that can make a meaningful impact on people's lives? We're looking for an experienced Senior Machine Learning Engineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. More ❯

Head of Machine Learning Salary: £110,000-£130,000 + equity/benefits Location: London - 5 days a week in office, can then become hybrid post probation Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, machine learning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision, AI rendering and 3D graphic design Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering … and manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance More ❯

on insights derived from the dashboard. This is a full time, fixed term role for 3-4 months. Knowledge, Skills, and Experience AI and Machine Learning Skills : proficiency in various AI and machine learning methodologies, including supervised and unsupervised learning on image and tabular data. … latest AI frameworks and libraries, such as TensorFlow, PyTorch, Keras, etc Programming skills : Experience with scripting languages such as Python for data analysis and machine learning applications and software development Data management skills : Proficiency in database management systems (DBMS), including SQL and NoSQL databases, to store and manage … data efficiently Cloud Computing and APIs : Experience with cloud computing platforms such as AWS, Google Cloud, or Azure, particularly their AI and machine learning services. Proficiency in developing and utilising APIs for the integration of AI functionalities into digital twin solutions Software Development and Integration : Experience in software More ❯

into our products to benefit customers, and learning from how our users interact with those products to drive continuous innovation. As an ML Ops Engineer, you'll play a critical role in ensuring that our machine learning features aren't just smart-they're scalable, efficient … where employees work 2 days a week in the Manchester office. What you will be doing Bridge Dev and AI : Build and scale reliable ML workflows that power features like our natural language interface and AI-enhanced pipelines. Make AI Production-Ready : Deploy and maintain generative AI systems in real … frameworks (like LangChain), AWS, data governance, and more over your first 12 months. What we are looking for Solid Technical Foundation : Experience with Python, ML workflows, cloud platforms (especially AWS), and data engineering tools. AI-Curious : Some exposure to Generative AI, agentic systems, and a drive to deepen your knowledge More ❯

Job Title: Machine Learning Engineer Department: Text-to-Speech (TTS) Location: Manchester, UK About the Role: As a Machine Learning Engineer, you'll help deploy and optimise LLM-based Text-to-Speech models that enable advanced voice cloning and natural-sounding speech synthesis. You'll work … team that values your input and growth. With the support, resources, and tools you need, you’ll continuously evolve as a professional in the Machine Learning space, tackling new problems in the sector and advancing your career. More ❯

with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering … and Product teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with … at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git Where you will be: At Entrust More ❯

basic***** IMPORTANT PLEASE READ - Aiming for candidates to start between the end of June and End of August - SUMMER START DATE Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools. An exciting AI company in Edinburgh are … looking for several passionate & enthusiastic Graduate Machine Learning Engineer's to start between the end of June and end of August. More ❯

2+ years of building machine learning models for business application experience - PhD, or a Master's degree and experience in CS, CE, ML or related field research - Experience programming in Java, C++, Python or related language - 3+ years' experience with modeling languages and tools like PyTorch/TensorFlow … R, scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing - 1+ years experience in building conversational AI and …/or natural language processing systems. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - 2+ years experience with large scale distributed More ❯

Python Engineer - Manchester - £60,000 - £75,000 + bens Are you an experienced Senior Software Engineer with a passion for Python, machine learning, and automation? This opportunity is for you. My client … a fast-growing company in the tech space, is looking for a skilled engineer to join their team and work on innovative AI/ML projects, with a focus on backend development and cloud deployment. Key Experience: Develop Python code for backend logic, automation, and machine learning model … integration. Design and maintain robust APIs, optimising data pipelines for ML tasks. Collaborate on the setup and maintenance of CI/CD pipelines, Docker containerisation, and cloud deployment. Key Skills: 5+ years of experience in Python backend engineering. Expertise in unit testing with PyTest. Hands-on experience with machine More ❯

ABOUT US Akur8 is a young, dynamic, fast growing Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and … applying the principles of non-discrimination. ROLE Becoming an Actuarial Data Scientist is the ideal opportunity to influence the usage of cutting edge advanced machine learning technology in the insurance industry and to have a visible effect on the product roadmap of one of the world’s foremost … the Product team to recommend new features that might benefit our clients, and also with our R&D team to explore new applications of machine learning in the insurance industry. You will be in direct technical reference with client contacts such as Heads of Pricing, Heads of Product More ❯

to shape the future of antigen discovery in a cutting-edge biotech environment. You'll play a key role in the development of unsupervised machine learning models using transcriptomic datasets to support target identification and product development. As the team grows, this position offers a clear path into … leadershiP, ideal for someone ready to expand their impact both scientifically and strategically. Key Responsibilities: Develop and refine unsupervised machine learning approaches to analyse multi-omics data, with a focus on transcriptomics Collaborate closely with experimental scientists and bioinformaticians to integrate data and guide research direction Support internal … ideally within immunology or oncology Hands-on expertise in Python and/or R, and familiarity with common bioinformatics workflows Track record of developing ML-based models, in an unsupervised context Excellent problem-solving, communication and collaboration skills Experience in a biotech or translational research setting is highly desirable More ❯

to shape the future of antigen discovery in a cutting-edge biotech environment. You'll play a key role in the development of unsupervised machine learning models using transcriptomic datasets to support target identification and product development. As the team grows, this position offers a clear path into … leadershiP, ideal for someone ready to expand their impact both scientifically and strategically. Key Responsibilities: Develop and refine unsupervised machine learning approaches to analyse multi-omics data, with a focus on transcriptomics Collaborate closely with experimental scientists and bioinformaticians to integrate data and guide research direction Support internal … ideally within immunology or oncology Hands-on expertise in Python and/or R, and familiarity with common bioinformatics workflows Track record of developing ML-based models, in an unsupervised context Excellent problem-solving, communication and collaboration skills Experience in a biotech or translational research setting is highly desirable More ❯

actuarial modelling and advanced analytics. As they continue to grow, they are seeking a bright and ambitious Graduate Actuarial Analyst with a passion for machine learning to join their dynamic team. This is a rare opportunity to join a high-calibre consultancy where you'll work closely with … senior leadership, gaining hands-on experience on a range of cutting-edge projects across insurance, risk, and data science. About the Role: Apply machine learning techniques to complex actuarial problems, enhancing traditional actuarial models. Work on real-world client projects across a variety of sectors. Build bespoke models … Engineering, or similar) from a top-tier university . Achieved A or A * in Mathematics at A-Level (or equivalent). Demonstrated experience with machine learning techniques, ideally through academic projects, internships, or personal projects. Proficient with Python, R, or similar analytical languages. Strong problem-solving and analytical More ❯

graduates, starting in 2025/early 2026. The ideal candidate will have a PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics. You will be developing skills in advanced quantitative techniques across a range of data types, markets and asset classes, in … innovative ideas, aid with research, design and implementation. Key Responsibilities: Analysing and evaluating financial and alternative datasets Researching existing and developing new techniques in machine learning Researching, developing and implementing quantitative trading signals/models Developing and maintaining modelling infrastructure Supporting production trading operations Qualifications: Have a PhD … in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics. Strong programming skills in Python. Excellent problem-solving skills and attention to detail. Strong analytical and mathematical background. Ability to work independently and as part of a team. Preferred Qualifications: Experience with data analysis More ❯

Role: Senior Data Scientist Skills: SQL/Python/Machine Learning Location: Manchester Salary: £60,000k Work Pattern: Hybrid Summary A brand new role has opened up for a Senior Data Scientist to join a well-established company that we have placed professionals with for many years. This … requirements and share your insights across the company. Create dashboards, reports and visualizations to present to stakeholders. Build, deploy and maintain predictive models using machine learning and optimization techniques Analyse large datasets to implement data-driven strategies Design and conduct A/B Testing to refine pricing strategies. … Requirements Python Cloud Platforms Exploratory Data Analysis A/B Testing Machine Learning Libraries This is a great opportunity to add real value to an established organisation to contribute to their exceptional business growth. Benefits: Pension Scheme Discretionary Bonus Flexible Holiday Plans Buy Holiday Options Company Socials Cycle More ❯

the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance … issues, Working closely with the project manager to ensure efficient resource allocation, server utilisation and scaling across multiple teams, Collaborating with data scientists and machine learning engineers to understand their software requirements and provide guidance on best practices, Assisting in training team members on the capabilities and usage … with a startup mindset. Technology-wise, you will have experience in system administration, preferably with a focus on HPC platforms, GPU-based servers, and machine learning software environment as well as a familiarity with AI and HPC provisioning and management, both on-premises and in the cloud. You More ❯

be a strong communicator who can explain complex topics effectively to a wide audience. Skills and Experience Expert level knowledge of data science and machine learning, including a range of different techniques such as supervised (e.g. decision trees, random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of … a variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statistical analysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming … language such as Python, R, C++. Experience of innovating and solving business problems through the application of data science or machine learning Ability to think critically and break down complex challenges into addressable projects Experience of measuring benefits of data science solutions and road-mapping improvements Experience of More ❯

Data Scientist/Computational Biologist to join an exciting start up team. The ideal candidate will have a strong background in biological data analysis, machine learning, and computational biology, with a focus on protein language models and next-generation sequencing (NGS). This role requires an individual who … to study molecular structures and optimise engineering approaches. Collaborate with biologists, data scientists, and engineers to drive innovative research and applications. Implement and optimise machine learning models for biological data interpretation. Work with large-scale biological datasets, ensuring accuracy and efficiency in data processing and analysis. Essential Qualifications … Biology, Bioinformatics, Data Science, or a related field. Strong background in biological data analysis with hands-on experience. Proficiency in machine learning (ML), Python, and related computational tools. Prior experience working with bio data and understanding biological processes. Familiarity with NGS technologies and sequencing data analysis (a major More ❯

Salary Range: Description: Senior AI Software Developers required for worldwide AI projects and locations Are you ready to shape the future of AI and Machine Learning web applications as a Senior AI Software Developer? Our global client is on the lookout for visionary Senior AI Engineers to join … Italy, Norway, Finland, New Zealand, South Africa, India, Pakistan, Bangladesh, and Kenya. Key Responsibilities as Senior AI Software Developer: Lead and manage AI and Machine Learning projects at a senior project management level. Drive innovation and collaborate with cross-functional teams to deliver exceptional results. Utilise your expertise … to transform complex requirements into scalable solutions. Qualifications: Proven senior-level experience in AI and Machine Learning project management. Strong problem-solving skills and a passion for innovation. Excellent communication and collaboration abilities. Why apply? Global Impact: Contribute to projects that span across diverse regions. Cutting-Edge Technology More ❯

Role Overview: As a Software Engineer with this studio, you will play a key role in the development of cutting-edge features that utilize Machine Learning to create dynamic, procedurally generated game worlds. You will collaborate with a dedicated and forward-looking team to design, implement, and iterate … on new features, helping to shape the future of their games. Key Responsibilities: Lead the development of new and existing features utilizing Machine Learning to generate immersive, procedurally generated worlds within the games. Collaborate with a humble, empathetic, and ambitious development team to push the boundaries of innovation … insights while being receptive to feedback. Qualifications: Strong software engineering skills, with a solid understanding of algorithms, data structures, and software architecture. Experience with Machine Learning engineering, particularly with modern libraries such as PyTorch. Deep knowledge of generative models, including expertise in diffusion models and Variational Autoencoders (VAEs More ❯