251 to 275 of 941 Machine Learning Jobs in the UK excluding London

individuals from various areas of expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products What we're looking for from you: Essential experience: Algorithm development Identification, Planning and Running of investigations to inform systems design Data … significant experience of MATLAB and ideally Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are More ❯

Bio is pioneering molecular mimicry to design medicines that outperform today's drugs for maximum patient impact. Powered by our proprietary MIMIC platform, a computationally driven bioplatform that couples machine learning with functional molecular mimicry, we engineer therapeutics to trigger precise biological responses, opening opportunities to treat targets previously deemed intractable. Our recently announced $600M research collaboration with … industrialize the operational backbone of our discovery platform, enabling scientists to work faster, smarter, and at scale, while ensuring high-quality, reproducible data generation to power our AI/ML-driven discovery engine. You will be a key member of the R&D Leadership Team, responsible for shaping strategy, integrating operational functions across discovery, and driving the technical and cultural … continuous improvement of a modern informatics stack for data capture, analysis, and sharing across teams. Ensure operational systems and digital infrastructure are optimized to support advanced computational models, including machine learning and AI-driven drug discovery. R&D Operations Excellence Build and manage an operational framework that enables scientists to seamlessly execute complex experimental programs with speed and More ❯

implementation of systematic stat arb strategies Design and develop new quantitative trading models across global equity markets Optimize portfolio construction and enhance existing trading strategies Leverage big data and machine learning techniques to uncover new signals Collaborate with other researchers, engineers, and portfolio managers in a fast-paced environment Ideal Candidate Profile 3+ years of experience developing systematic … statistics and signal generation techniques Proficient in Python and/or C++ for research and model implementation Experience with backtesting, simulation frameworks and large-scale data analysis Exposure to machine learning and alternative data is a strong plus Reference: AMC*GWO*LDN*QR #gewo More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Role: ML & Cloud Infrastructure Engineer Salary: £140,000 - £160,000 + Equity Location: London - Hybrid (3-5 days a week) Our client is pioneering a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is to transform how industries from robotics and AR/VR to gaming and film create and interact with … 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform and practices in a fast-moving startup environment. The … role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents, ensuring reliability and performance Working closely with ML engineers and researchers to 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 ❯

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 ❯

Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency 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 ❯

for AI agents similar to MLEBench and BFCL. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. More ❯