51 to 73 of 73 Machine Learning Engineer Jobs in the UK excluding London

global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models … LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI … CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models … LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI … CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world More ❯

cutting edge. I’m working with a top robotics firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London … onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we’re … looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with More ❯

cutting edge. I’m working with a top robotics firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London … onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we’re … looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with More ❯

cutting edge. I’m working with a top robotics firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London … onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we’re … looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with More ❯

SNAPSHOT: Our client is a pioneering company in advanced materials and manufacturing, dedicated to transforming industrial processes through innovative technology. In this role, you will be the first dedicated Machine Learning Engineer , responsible for building core ML capabilities that will directly impact manufacturing efficiency and sustainability at scale. Key Responsibilities Your key duties will include collaborating on More ❯

SNAPSHOT: Our client is a pioneering company in advanced materials and manufacturing, dedicated to transforming industrial processes through innovative technology. In this role, you will be the first dedicated Machine Learning Engineer , responsible for building core ML capabilities that will directly impact manufacturing efficiency and sustainability at scale. Key Responsibilities Your key duties will include collaborating on More ❯

Staff Engineer – Optimisation and Machine Learning London (Hybrid – 3 days in office) | Permanent I’m looking to speak to Principal Optimisation Engineers who would be interested in solving complex optimisation that will benefits organisations globally in the Life Sciences industry. You will be working on problems that actually matter, building systems that help scientists run better experiments More ❯

chance to make a significant contribution to projects that push the boundaries of what's possible in computer vision - while enjoying a highly competitive package. As a Computer Vision Engineer, you will play a central role in developing and deploying systems that achieve state-of-the-art accuracy in detection, segmentation, and tracking. You will be working in an … environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to … science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and More ❯

Do you want to lead a mission-driven ML team tackling real-world climate risks? Are you excited by the challenge of combining machine learning with physical modelling? Ready to take a strategic, hands-on leadership role at a fast-growing Series A startup? We’re working with a climate risk intelligence platform that helps financial institutions, insurers More ❯

Do you want to lead a mission-driven ML team tackling real-world climate risks? Are you excited by the challenge of combining machine learning with physical modelling? Ready to take a strategic, hands-on leadership role at a fast-growing Series A startup? We’re working with a climate risk intelligence platform that helps financial institutions, insurers More ❯

Do you want to lead a mission-driven ML team tackling real-world climate risks? Are you excited by the challenge of combining machine learning with physical modelling? Ready to take a strategic, hands-on leadership role at a fast-growing Series A startup? We’re working with a climate risk intelligence platform that helps financial institutions, insurers More ❯

practices (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools (Nice to have) Experience with data pipeline tools or frameworks Personal Attributes You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in ML engineering. You care about code quality and are eager to learn about model deployment best practices … auditability, and production systems. You communicate well, ask thoughtful questions, and are excited to bridge the gap between Data Science experimentation and production-grade systems. You're interested in learning about deployment standards and the audit and reconciliation expectations that come with production ML. You're enthusiastic about contributing to automated and self-serve model deployment systems. You take … initiative, are reliable in your commitments, and value learning from experienced team members. More ❯

practices (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools (Nice to have) Experience with data pipeline tools or frameworks Personal Attributes You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in ML engineering. You care about code quality and are eager to learn about model deployment best practices … auditability, and production systems. You communicate well, ask thoughtful questions, and are excited to bridge the gap between Data Science experimentation and production-grade systems. You're interested in learning about deployment standards and the audit and reconciliation expectations that come with production ML. You're enthusiastic about contributing to automated and self-serve model deployment systems. You take … initiative, are reliable in your commitments, and value learning from experienced team members. More ❯

practices (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools (Nice to have) Experience with data pipeline tools or frameworks Personal Attributes You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in ML engineering. You care about code quality and are eager to learn about model deployment best practices … auditability, and production systems. You communicate well, ask thoughtful questions, and are excited to bridge the gap between Data Science experimentation and production-grade systems. You're interested in learning about deployment standards and the audit and reconciliation expectations that come with production ML. You're enthusiastic about contributing to automated and self-serve model deployment systems. You take … initiative, are reliable in your commitments, and value learning from experienced team members. More ❯

re backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business Insider. We're looking for an ML engineer with deep experience in feature engineering, model development, and MLOps. You'll develop multi-agent systems, optimise distributed model training, and create AI agents that autonomously handle the entire More ❯

re backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business Insider. We're looking for an ML engineer with deep experience in feature engineering, model development, and MLOps. You'll develop multi-agent systems, optimise distributed model training, and create AI agents that autonomously handle the entire More ❯

re backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business Insider. We're looking for an ML engineer with deep experience in feature engineering, model development, and MLOps. You'll develop multi-agent systems, optimise distributed model training, and create AI agents that autonomously handle the entire More ❯

ML & Cloud Infrastructure Engineer London Up to £150000 About the Role A cutting-edge AI start-up is pioneering the development of frontier 3D foundation models, pushing the boundaries of computer vision and spatial computing. Their mission is to redefine how industries such as robotics, AR/VR, gaming, and film generate and interact with 3D content. They are … now seeking an ML & Cloud Infrastructure Engineer to join their growing team. This is a unique opportunity to work at the forefront of AI innovation, building the infrastructure that underpins complex ML workloads and production systems. You’ll play a central role in scaling the company’s platforms and ensuring their pioneering technology reaches its full potential. Key Responsibilities More ❯

ML & Cloud Infrastructure Engineer London Up to £150000 About the Role A cutting-edge AI start-up is pioneering the development of frontier 3D foundation models, pushing the boundaries of computer vision and spatial computing. Their mission is to redefine how industries such as robotics, AR/VR, gaming, and film generate and interact with 3D content. They are … now seeking an ML & Cloud Infrastructure Engineer to join their growing team. This is a unique opportunity to work at the forefront of AI innovation, building the infrastructure that underpins complex ML workloads and production systems. You’ll play a central role in scaling the company’s platforms and ensuring their pioneering technology reaches its full potential. Key Responsibilities More ❯

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML More ❯

half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power frontier AI More ❯

half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power frontier AI More ❯