451 to 475 of 1,618 Machine Learning Jobs in the UK

Platform Engineering Lead – London An AI-first organisation is applying frontier machine learning to help unlock deeper scientific insights, accelerate breakthroughs, and bring life-changing medicines to patients faster. Their mission is ambitious: to transform drug discovery and, ultimately, solve all disease. This is a rare opportunity to join an interdisciplinary team at the cutting edge of AI … the Head of Engineering to set long-term technical strategy Mentor team members and foster engineering best practices What We’re Looking For Essential: Proven track record building complex, ML-focused platforms Strong proficiency in Python Experience leading cross-team engineering efforts or overseeing multiple teams Ability to manage ambiguity and drive clarity across projects Comfortable integrating open-source and … third-party software Experience working closely with machine learning teams Nice to Have: Background in biotech, pharma, or AI-driven drug discovery Experience in both large organisations (with structured processes and metrics) and smaller/startup environments (delivering with limited resources) Knowledge of observability and reliability practices for product platforms Security or compliance experience Why Join? Be part More ❯

Associate, joining a market-leading disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house and be guided by some of the brightest minds in this field. Within this role you will be managing bespoke feature developments for customers, from … What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform Joining a fast-growing company where progression opportunities are in abdundance Applications If you have top academics and would like to apply, we would love to More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

Brief: Designing and developing the software systems that enable us to run machine learning (ML) inference workloads at state of the art latencies and efficiency on FPGA-based hardware accelerators. Working throughout the stack to define the ways we program AI accelerators, from co-designing the instruction sets together with the hardware engineering team, to developing the compilers … and application APIs to interface the accelerator with ML models and frameworks. Responsibilities: Programming our bespoke hardware accelerators by writing compilers and DSLs Creating tools for debugging, profiling, and optimising programs for our accelerators Developing efficient applications and runtime libraries for server CPUs that utilise our accelerators Key Requirements: PhD or MSc in related field Used Rust in production or More ❯

to £65,000 Start - ASAP The Opportunity Join a pioneering start-up at the forefront of Augmented Reality (AR), Artificial Intelligence (AI), and Machine Learning (ML) innovation. This is a rare opportunity to become part of a mission-led team dedicated to revolutionising safety in engineering maintenance and repair environments. Having successfully developed a prototype and secured substantial More ❯

SAP, Oracle, Unit4, Microsoft D365, Infor, Workday, Sage or Data – BI, Machine Learning, Analytics, Business Intelligence. This role isn’t about us. It’s about you. If you’re good at recruitment you’re likely reading it to see what’s being advertised in your current market. If so, we like that. If you’re not in recruitment … only thing we do need? Knowledge. We need you to have an extensive knowledge in 360 ERP Recruitment – SAP, Oracle, Unit4, Microsoft D365, Infor, Workday, Sage or Data – BI, Machine Learning, Analytics, Business Intelligence (UK, Europe, USA) A frustrated split desk? Come at us. Contract specialist? Come at us. Perm specialisms? We want to talk to you. If More ❯

Computer Science, a related field, or equivalent practical experience. One or more scientific publications in top-tier conferences or journals. Preferred qualifications: First-authored publications in the fields of machine learning (e.g. ICLR, ICML, NeurIPS) or programming languages theory (e.g. PLDI, ICFP). Experience in the field of machine learning. Experience in the field of programming languages … e.g. lambda calculus, type theory, combinatory logic). Experience in the field of automated code discovery (LLM-based, AutoML, evolutionary, or meta-learning-based). Experience with post-doctoral research. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and … or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. About the More ❯

Data & ML Product Lead Up to £120,000 London, Hybrid VIQU have partnered with leading insurance firm to search for a Data & ML Product Lead to own the strategy, development, and lifecycle management of data and machine learning products. You'll be responsible for shaping product roadmaps, embedding governance frameworks, and ensuring data products deliver measurable value across … the business. This role works closely with senior stakeholders, data science, and technology teams to deliver scalable solutions that drive business outcomes Key Responsibilities of the Data & ML Product Lead Define and deliver the strategy for data and ML product development. Own and maintain product roadmaps, ensuring they meet evolving business needs. Manage the end-to-end lifecycle of data … opportunities and drive product delivery. Define KPIs to track success and embed continuous improvement practices. Build standardised frameworks to support consistent delivery and governance. Key Requirements of the Data & ML Product Lead Strong experience in product management within data and AI/ML, with a track record of successful delivery. Background in insurance or financial services, with understanding of how More ❯

Job Title: AI Engineer Job Description: We are looking for an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business … teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and More ❯

Job Title: AI Engineer Job Description: We are looking for an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business … teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and More ❯

Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies … like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting LLM's for different domains the better (although this isn't a must have) so someone who has worked in More ❯

automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection … Take the lead on deployments while working alongside a highly experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems … machine vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK More ❯

Cloud & ML Infrastructure Engineer About Us We're a fast-growing startup building breakthrough AI technology at the intersection of 3D, computer vision, and spatial computing. Our work is shaping the way industries - from robotics and AR/VR to gaming and film - create and interact with immersive content. We thrive on bold ideas, fearless problem-solving, and a culture … be part of a team pushing the boundaries of what's possible in AI, we'd love to hear from you. The Role We're looking for a Cloud & ML Infrastructure Engineer to join our team. You'll play a key role in designing, building, and maintaining scalable systems that power cutting-edge machine learning workloads. From cloud … infrastructure to distributed training environments, you'll help lay the foundation for delivering next-generation AI solutions. Responsibilities Design, deploy, and maintain scalable, high-performance cloud-based infrastructure for ML workloads and APIs. Manage cloud platforms (AWS, Azure, GCP) including ML nodes for local development and distributed training. Install, configure, and monitor servers, ensuring smooth system performance. Optimize shared and More ❯

AI/Machine Learning Engineer Remote – UK Up to £130,000 About the Role Our client, a leader in blockchain analytics, is seeking a Senior AI/ML Engineer to help develop cutting-edge models that analyse vast amounts of blockchain data. This role is central to building innovative AI-powered solutions that uncover patterns, generate insights, and … empower investors in the rapidly evolving crypto space. Key Responsibilities Lead the design, implementation, and optimisation of AI/ML models for blockchain data analysis. Collaborate with product and engineering teams to integrate AI/ML solutions into the core platform, enhancing capabilities and user experience. Stay ahead of the curve on emerging AI, ML, and blockchain technologies, applying them … to complex, real-world problems. Mentor junior engineers and champion best practices across the AI/ML function. Align AI/ML initiatives with business objectives and customer needs through close cross-functional collaboration. Deploying scalable AI/ML systems capable of processing large, complex data sets. Leveraging modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs). Enhancing the More ❯

ll work with a world-class team of AI researchers (ex-DeepMind, INRIA, École Polytechnique) to build the systems and interfaces that enable customers to seamlessly interact with powerful machine learning models at scale. Why You'll Love This Role Highly competitive salary + meaningful equity package 100% remote within … Europe Work alongside leading AI researchers and engineers Be part of the founding engineering team of a high-growth, well-funded startup Solve complex problems at the intersection of ML, backend, and UI engineering What You'll Be Doing Build scalable backend services and APIs for model inference and large-scale data processing Develop modern, responsive frontends for model interaction … NoSQL databases and cloud data platforms Ability to deliver clean, maintainable frontend code and collaborate closely with product/design teams Nice to Have Kubernetes experience for deploying scalable ML services Data visualisation skills for presenting model outputs Knowledge of authentication/security best practices Experience with monitoring and observability tools for distributed systems Interested? If you want to join More ❯

in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science … pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP … Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … with on-premise technologies from microsoft, ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds … as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

expected behavior. Technical Skills & Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯

expected behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯