3,426 to 3,450 of 3,529 Machine Learning Jobs in London

Data Products Leadership Team in London. You will lead a talented DS team, while remaining hands-on in designing and delivering production-ready ML solutions that solve core customer, marketing and commercial challenges. You will partner with Product Owners, Engineers and business leaders, shaping the DS roadmap, prioritising high-value ...

looking for an experienced Account Executive with 5+ years of enterprise SaaS sales experience. This role involves building relationships with AI/ML stakeholders, conducting prospect discovery, and managing proof of concepts to drive account growth. Although we are a remote-first company, priority will be given to candidates located ...

expand existing relationships with AI labs, research institutions, and enterprises running demanding GPU workloads. You will drive technical discovery, design end-to-end ML infra solutions, and lead PoC engagements. Travel up to 40% will be required and you’ll be the customer advocate inside CoreWeave. #J-18808-Ljbffr ...

Google London is seeking a Mid-level Senior Research Engineer to advance health-focused foundation models. You will design, train, and evaluate ML models, own the experimentation loop, and build scalable evaluation systems for multimodal data. The role combines research leadership with hands-on implementation, mentoring junior engineers and collaborating ...

Markets, a leading trading firm in London, is seeking an experienced engineer for its ML Performance and AI Acceleration function. The successful candidate will join a small, highly technical team to enhance the performance of training and inference platforms. This role involves complex algorithmic challenges and optimizing compilers for advanced ...

Dashdash, Inc. is looking for an engineer to set up a personalized fine-tuning pipeline on Versey. You will work remotely, ideally during London-friendly hours, and earn a rate of $70–95/hr. ...

commercial performance and competitive advantage. They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high‐impact data science function that consistently delivers measurable business outcomes. This … performance metrics, and positioning machine learning as a long‐term strategic differentiator for the organisation. Skills & Experience Experience operating at scale where ML directly influences commercial performance A track record of building and leading high‐performing data science teams Strong stakeholder management skills, with the ability to influence ...

intelligence layer: models, reasoning mechanisms, and evaluation approaches that turn data into insight and foresight. Key Responsibilities Design and train ML models where learning adds clear value Combine ML with: Statistical models Rule-based or symbolic components Develop models that operate over time (longitudinal, adaptive) Explore early agentic … outputs into human decision-making workflows Who You Are Strong background in machine learning or applied AI Comfortable working across paradigms (ML, causal, symbolic) Interested in how intelligence behaves in real systems, not just benchmarks Thoughtful about misuse, bias, and overreach Excited by building AI systems that remain ...

Hamilton Barnes Associates Limited in London is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. The role focuses on building and evaluating AI and agentic systems, improving machine learning workflows, and researching security challenges such as adversarial ...

lab.What’s in it for you Founding role with significant equityHelp define the research agenda from the ground upWork at the frontier of robot learning, vision-language-action models and world modelsDesign and run experiments on real robotic hardwarePublish meaningful research while building technology with real-world impactWork closely … learning, robotics or computer visionDeep understanding of modern deep learning methodsExcellent mathematical, experimental and problem-solving instinctsHands-on experience training and evaluating ML modelsThe ability to form hypotheses, design experiments and learn quickly from resultsCuriosity for problems where the answers — and sometimes even the right questions — aren ...

looking for an exceptional Robotics Engineer to build autonomous robotic systems in real-world environments. This role sits at the intersection of robotics, machine learning and systems engineering. You'll work across the full stack, from research, planning and control systems through to deployment, and should be equally … comfortable in research, training machine learning models and delivering a robot to the field.ResponsibilitiesDesign, build and deploy autonomous robotic systems. Develop planning, perception and control systems using modern machine learning and robotics techniques.Research and implement state of the art approaches in embodied AI, transformer architectures, reinforcement ...

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 … prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and training setups ...

ensure proposed solutions are realistic, scalable, and aligned with platform standards Provide guidance on compute, networking, storage, orchestration, and workload optimisation for AI and machine learning use cases Help create repeatable demo environments, technical playbooks, reference architectures, and sales enablement materials Act as a technical voice … enterprise or mid-market sales cycles in infrastructure, cloud, AI, data centre, or platform environments Good understanding of cloud infrastructure, GPU compute, AI/ML workloads, or high-performance infrastructure Familiarity with containers, Kubernetes, Slurm, orchestration platforms, or workload deployment models Understanding of networking, storage, and distributed compute concepts ...

Lead Alpha Researcher to join our Systematic Equities team. You will lead a senior research effort, developing and scaling alpha generation, predictive modelling, and machine learning across our global equities business. You will manage researchers across Europe, shape the research agenda, and drive production deployment of high-impact ...

governance frameworks, and scalable AI deployments with senior stakeholders across technology, security, data, procurement and legal. You will lead the integration of AI and machine learning into network planning, operations and assurance, ensuring responsible, auditable adoption and strong partnership with operating #J-18808-Ljbffr ...

foundation models learning from multi‐omics, clinical and imaging data to support downstream drug discovery teams. You will lead research programmes, collaborate with ML Engineers, and publish findings to advance the field while mentoring junior scientists. #J-18808-Ljbffr ...

team of 4–6 data scientists to impact rider pay, incentives, supply and demand, and network performance. You will partner with Operations, Product, Machine Learning and Engineering to translate insights into operational, product and commercial decisions while developing your team in a fast-paced marketplace. #J-18808-Ljbffr ...

hardware engineers, ensuring seamless interaction between custom processors and the platform that runs on them. You’ll also play a key role in shaping machine learning tools to fully leverage the power of OTPUs. You should have proven expertise in machine learning and high-performance computing ...

platform. Estimated Benefits Competitive salary for London tech market Opportunity to work on cutting-edge AI and agentic systems Exposure to production-scale machine learning infrastructure Collaborative innovation-focused team environment Potential stock options or equity (common in gaming tech) #J-18808-Ljbffr ...

security controls without feeling bureaucratic, overly alarmist, or punitive.RequirementsCore ResponsibilitiesMandatory Security Training. Own the annual training cycle end-to-end: coordinate with our e-learning production vendor to refresh video content and scenarios each year, manage rollout and completion tracking, build leadership dashboards, and escalate non-compliance.Conference & Travel Security. … Proven track record managing security education and awareness programmes at scale in a technology or research organisationStrong content creation skills across formats: video, e-learning, written communications, infographics, and audioBroad corporate security expertise spanning insider risk, IP protection, travel and personal security, and event security — with the ability ...

impact next-generation compute products. Senior Compiler Engineer responsibilities Development and evolution of LLVM-based and custom compiler toolchains Performance optimisation for AI/ML and accelerator-driven workloads Low-level code generation, backend, and systems-level compiler work Close collaboration with architecture, silicon, and hardware teams to influence real … Background in systems programming, performance optimisation, or hardware-aware software Exposure to AI accelerators, CPUs, GPUs, or DSPs is a strong plus Interested in learning more? Message Harry Hansford at IC Resources for a confidential discussion. ...

without feeling bureaucratic, overly alarmist, or punitive. Core Responsibilities Mandatory Security Training. Own the annual training cycle end-to-end: coordinate with our e-learning production vendor to refresh video content and scenarios each year, manage rollout and completion tracking, build leadership dashboards, and escalat Conference & Travel Security. Produce … track record managing security education and awareness programmes at scale in a technology or research organisation Strong content creation skills across formats: video, e-learning, written communications, infographics, and audio Broad corporate security expertise spanning insider risk, IP protection, travel and personal security, and event security — with the ability ...

Job### Job DescriptionJoin Deliveroo's Data Science organisation, which powers decision-making across product, commercial and operational teams through experimentation, causal inference, and applied machine learning. We are hiring a Data Science Manager to join our Delivery team, responsible for ensuring optimal rider supply to meet consumer demand locally … consumers, and the wider delivery network. This London-based role involves reporting to a Senior Data Science Manager and partnering closely with Operations, Product, Machine Learning, and Engineering teams. You’ll own the analytical direction and impact within Delivery, leading and developing a team of 4-6 data ...

building worlds, not chasing bugs. We're replacing manual QA with autonomous agents that truly understand gameplay. Our small, focused team combines deep machine learning research with strong commercial execution, driven to solve some of the hardest problems in game development. Just over a year … Flamingo) from scratch or checkpoints. You know exactly what happens inside the transformer block. Build for the Real World You have successfully deployed deep learning models into production environments where latency and cost matter. You understand the brutal reality of trade-offs between model size and inference speed. Thrive ...

Robin AI is on a mission to revolutionize the legal industry by simplifying contracts and making law accessible to everyone. We utilize cutting-edge machine learning and contract software, enhancing traditional legal services and bringing together experts in engineering, AI, and law. Robin AI has recently raised $10.5m … beyond. You'll shape our onboarding processes and mentorship program to help set our engineers up for success, develop their skills, and create learning opportunities. Champion a collaborative engineering culture where people feel empowered to push boundaries, take ownership and drive real change. Oversee key Product initiatives, and help ...