2,126 to 2,150 of 2,743 Machine Learning Jobs in London

high‐ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity … deliver them end‐to‐end, from first principles through to being deployment‐ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

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 ...

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 ...

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. ...

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 ...

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 ...

Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines of business to ensure processes, tools … controls are in place to support and incorporate AI/ML implementation best practices. As an Sr Associate on the AI/ML Governance team within the Commercial & Investment Bank (CIB), you will have the opportunity to contribute to multiple strategic, global initiatives. This role allows ...

Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines of business to ensure processes, tools … controls are in place to support and incorporate AI/ML implementation best practices. As an Sr Associate on the AI/ML Governance team within the Commercial & Investment Bank (CIB), you will have the opportunity to contribute to multiple strategic, global initiatives. This role allows ...

simplifying complex technical topics without losing nuanceHave experience partnering with product and engineering leaders and can operate as a trusted advisorUnderstand enterprise AI, machine learning, or developer ecosystems and are eager to go deeperAre highly organized and detail‐oriented with strong project management skills and a bias … months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching.6 weeks of paid vacation (30 working days!)Budget for traveling to other offices if you are remote, plus an annual company offsite. ...

agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scaleAI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using … platforms such as MLflow, Vertex AI, or SageMakerCloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector storesProgramming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex ...

architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool‐use patterns, human‐in‐the‐loop workflows, and agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using … such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain ...

architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale* AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using … such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain ...

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 ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

enjoy turning ambiguity into reliable production systems, you’ll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. … algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI ...

enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. … maintain algorithms that integrate with existing systemsCreate architecture and design artifacts for complex applications, ensuring design constraints are met through deliveryBuild AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworksImplement GenAI services leveraging Azure OpenAI models ...

wide goals Drive architectural decisions and technical excellence across teams Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives Team Building & Talent: Build and scale high-performing … office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines Model serving and deployment at scale Strong understanding of modern infrastructure technologies: Kubernetes, Terraform ...

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 ...

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 ...

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 ...

opposed to being wedded to your favourite language. That said, currently in play is React for the frontend, Nest for backend, Neo4j and Machine Learning algorithms, so right at the bleeding edge of modern software engineering. This is a true start up environment, your voice will be listened ...

around quite often. They talk about an environment at the forefront of technology, world-changing products.... Hey, they might even throw in AI or Machine Learning for good measure just to grab your attention. But occasionally there are companies that do revolutionise. They don't need to shout ...

technical excellence with the practical need to ship, with a track record of delivering in high-stakes, fast-moving environments. Nice to haves Fraud ML or risk engine experience: Familiarity with machine learning-based fraud detection or risk scoring systems. Event-driven systems: Demonstrated experience with event-based ...

lot. But here, it truly applies. Many companies boast about cutting-edge technology and transformative products, or sprinkle in terms like AI and Machine Learning just to grab your attention. But every so often, a team emerges that doesn't need the hype. This is a company truly ...