london (city of london), south east england, united kingdom Hybrid / WFH Options
microTECH Global LTD
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 MachineLearning Researcher with a strong background in machinelearning, 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 MachineLearningEngineer – 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 MachineLearningEngineer – 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 MachineLearningEngineer – 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 MachineLearningEngineer – 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 ❯
london (city of london), south east england, united kingdom
Signify Technology
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 MachineLearningEngineer – 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 ❯
deploying AI models. Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments. Build and maintain automated pipelines for continuous training, testing, and deployment of machinelearning models, with integrated enterprise concerns. Ensure the security and compliance of the platform. Troubleshoot and resolve issues related to platform performance and reliability. Refine business and functional … arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients … orientation and other protected characteristics at law. Company BlackRock Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Clustering, Industry, MachineLearning, NLP, United Kingdom 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 MachineLearningEngineer , 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 MachineLearningEngineer , 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 ❯
the main focus on developing and implementing Agentic AI evaluation techniques, using strategies such as LLM-as-judge. As an MLE, you will work within a multidisciplinary team of machinelearning engineers and software engineers building the Agentic AI platform, and liaise closely with downstream teams using the platform to build agentic applications. These applications range from consumer … for GenAI evaluations across the business and working closely with downstream teams and product partners to align evaluation strategies with business needs. Requirements 5+ years' experience as an ML Engineer or Data Scientist 5+ years' experience writing production code in Python Experience using tools like Git, Docker, Kubernetes, CircleCI Experience productionising Generative AI workstreams or Agentic AI projects You … working from home and a parent-friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners More ❯
Staff Engineer – Optimisation and MachineLearning 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 ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Robert Walters UK
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 ❯
etc. Exposure to infrastructure-as-code tools like Terraform or containerization technologies such as Docker. Familiarity with Typescript to understand and work with existing codebases. Interest in aspects of machinelearning operations (MLOps), integrating models, and developing data-driven products. Additional Notes What The More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Do you want to lead a mission-driven ML team tackling real-world climate risks? Are you excited by the challenge of combining machinelearning 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 machinelearning 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 ❯
london, south east england, united kingdom Hybrid / WFH Options
Harnham
Do you want to lead a mission-driven ML team tackling real-world climate risks? Are you excited by the challenge of combining machinelearning 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 ❯
slough, south east england, united kingdom Hybrid / WFH Options
Harnham
Do you want to lead a mission-driven ML team tackling real-world climate risks? Are you excited by the challenge of combining machinelearning 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 ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Harnham
Do you want to lead a mission-driven ML team tackling real-world climate risks? Are you excited by the challenge of combining machinelearning 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 ❯
Fifty 2025 cohort members, we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled MachineLearning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you … nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey! About you We're looking for a driven and collaborative engineer who is passionate about using ML and AI to make a tangible impact on helping organisations understand and manage their impact on nature. You should thrive in a dynamic … successfully contributing to the design, building and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform (GCP More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Senior ML Engineer 📍 London (3 days a week) | 💰 £90k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Senior ML/AI Engineers More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯
Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯
Senior ML/AI Engineer - Gen AI London (Hybrid/Remote) Up to £110,000 We are partnered with an exciting new AI startup backed by the same VC behind Revolut. They are revolutionizing the way people interact with AI-powered creativity, building cutting-edge multimodal LLM-based agents and GenAI workflows for image, video, and 3D applications. Their More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Senior ML/AI Engineer - Gen AI London (Hybrid/Remote) Up to £110,000 We are partnered with an exciting new AI startup backed by the same VC behind Revolut. They are revolutionizing the way people interact with AI-powered creativity, building cutting-edge multimodal LLM-based agents and GenAI workflows for image, video, and 3D applications. Their 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 ❯