1,076 to 1,100 of 2,914 Machine Learning Jobs in London

founder and CEO, started building the company before ChatGPT was released; Dr Anna Chabokdast, co-founder and CTO (ex tractable), trained her first ML model ten years ago. We were building at the frontier of AI in energy before the hype. Since then: our own models trained and in production … Anna, own whole systems end to end, and touch whatever the platform needs. Over time the role grows into deploying and operating the production ML that powers the pipeline alongside Anna, so we'll want proof you've already taken a deep learning model into production. The hard problem ...

Nova is seeking a Senior Machine Learning Scientist for the Trust Detection team. You will own the design, development and evolution of ML systems that detect policy-violating content, fraud, and abuse across the platform. You will apply deep learning and large language models to improve user ...

Working knowledge of SQL. Previous experience in a data analytics, business analytics, or performance analysis role. Exposure to technology organizations, particularly working alongside Engineering, Machine Learning, or Product teams. Why Join Entrust? At Entrust, you'll have the opportunity to work with industry-leading technologies that help secure … part of a collaborative team where your insights directly influence customer success and product performance. We believe in empowering our employees through continuous learning, career growth, and meaningful work that makes a global impact. #LI-JB2 Here is what you can expect when you join our team: Career Growth ...

Intact Insurance is actively seeking a Machine Learning Engineer to design and operate production-ready ML systems. You will collaborate with Data Scientists and engineers to shape the ML roadmap, build scalable pipelines, and drive innovation while growing your career. You’ll contribute across feature engineering, model training ...

into how work really happens in practice, engaging closely with DSM Business Services, operational SMEs, Business Architects, and engineering leads in Data Engineering, Analytics, ML, and AI. The role enables stronger clarity, alignment, and adoption of Digitalisation initiatives across DSM. Business Process Analysis Analyse end‐to‐end operational workflows, including … strengthen use‐case discovery. Automation & Use‐Case Discovery Spot areas for workflow and rules‐based automation, analytics enhancements, data‐driven decision support, or ML/AI augmentation (in collaboration with engineering). Assess each potential enhancement using structured criteria including impact, feasibility, suitability, dependencies, and constraints. Support the Digitalisation intake ...

Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces. Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry. Architect and maintain robust long-term mapping systems that enable … environments over time. Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories. Deploy and benchmark ...

high-quality written deliverables for clients at the forefront of innovation. This is a role for someone who enjoys thinking deeply, writing clearly and learning continuously across a broad range of scientific and technological domains. You do not need to be an expert in every field, but you should … insightful and engaging thought leadership content You are expected to gain exposure to a wide range of emerging technology topics, such as: AI and machine learning Autonomous and unmanned systems Biomanufacturing Digital Twins Future aerospace concepts Human-machine interfaces Nanomaterials Satellite communications Space propulsion concepts Synthetic Biology ...

MASS Consulting is seeking a Machine Learning Engineer in London to design and own ML platforms for pricing workflows, enabling rapid model deployment and scalable performance. You will partner with Data Science, Actuarial, and Product teams to deliver impactful tooling. Responsibilities include building deployment and monitoring tooling, maintaining ...

Applied Artificial Intelligence & Machine Learning Associate to advance client onboarding and software engineering practices. You will work with software engineers, stakeholders, and ML experts to identify improvements and implement AI solutions. Role emphasizes data analysis, AI/ML techniques, and collaboration across diverse teams to deliver practical, scalable ...

Compare the Market is seeking a Machine Learning Engineering Manager to lead a high-performing team building production ML systems in a hybrid London setting. You will own real-time inference APIs, batch data products, and AI-enabled solutions, working closely with data, product, and engineering peers. … role requires proven leadership of ML/AI production systems, strong Python skills, and experience with IaC and CI/CD. Join us to drive impactful outcomes for millions of customers. #J-18808-Ljbffr ...

Applied AI & Machine Learning Associate to advance financial applications from business intelligence to predictive models and automated decisions. As an Applied AI ML Senior Associate, you will apply analytics techniques to Operations datasets, collaborating with Digital & Platform Services Operations teams to support the bank and its partners. #J ...

research and production technology behind AI-driven systematic trading . You will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure , creating reliable platforms that shorten the path from raw market data and research prototypes to monitored, resilient production strategies . This role is ideal … engineering, mathematics, or a related technical discipline (or equivalent professional experience). Relevant professional experience in software engineering, quantitative development, low-latency systems, or ML infrastructure. Strong modern C++ skills: data structures, concurrency, memory management, performance profiling, and production debugging. Proficiency in Python and experience building software for quantitative researchers ...

customers. About the Role: In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be working on cutting-edge technology to sustainably support Wise … space. Here's how you'll be contributing: Developing efficient and effective AML detection controls using a mixture of unsupervised, semi-supervised and supervised learning with GenAI Creating frameworks to prove controls coverage at a regional level Developing technologies to serve Wise's diverse international user base Working ...

Senior Manager, Machine Learning Science for the Content AI charter. You will lead a high-performing team of data scientists and ML engineers across locations, shaping content generation, moderation, and relevance strategies. You will drive end-to-end ML delivery with a focus on scalable, grounded models, collaboration ...

decisions, and deliverables with strategic objectives and business outcomes. Areas of Specialization Identity Security: Identity and access architecture across workforce, privileged, service, application and machine identities; identity governance, modern authentication, access lifecycle management, conditional access, PAM/PIM, federation, SSO, MFA, identity threat detection, and zero trust identity control … design. AI & Blockchain Architecture: Secure architecture and governance for AI, machine learning, generative AI, agentic solutions, distributed ledger technologies and blockchain-enabled platforms; including model and data protection, AI risk controls, prompt and output security, smart contract assurance, tokenization, wallet/key management, privacy, auditability, regulatory alignment ...

transactions involve no human touch, and the business is doubling every year. The role You're a data scientist with strong quantitative and ML chops who can move between classical modelling, experimentation, and modern applied ML (including LLMs where they're the right tool). … models, ranking, demand forecasting, segmentation, pricing, experimentation, and LLM-powered features, depending on where the business need is greatest Take ownership of business-critical ML systems end-to-end: problem framing, model design, deployment, monitoring, and ongoing maintenance in production Translate ambiguous business problems into tractable ML or statistical problems ...

across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud … managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. ...

What we’re looking for 5+ years in applied AI research, machine learning or data science Strong Python and experience with modern ML research tools Experience in at least one of computer vision, speech/audio analysis or multimodal learning Sound experimental design, statistics and model-evaluation ...

Responsibilities of the AI Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent-based frameworks. Evaluate AI technologies and select appropriate … architecture blueprints, technical standards, reference architectures and design documentation. Design secure multi-cloud integration patterns covering data, models and services. Provide technical direction to ML engineers, platform engineers and wider delivery teams. Embed security, responsible AI, governance and regulatory requirements into the platform. Optimise AI infrastructure for scalability, performance, resilience ...

Responsibilities of the AI Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent-based frameworks. Evaluate AI technologies and select appropriate … architecture blueprints, technical standards, reference architectures and design documentation. Design secure multi-cloud integration patterns covering data, models and services. Provide technical direction to ML engineers, platform engineers and wider delivery teams. Embed security, responsible AI, governance and regulatory requirements into the platform. Optimise AI infrastructure for scalability, performance, resilience ...

improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You Bring Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines. Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments. Strong understanding … Strong analytical, problem‐solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities. Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data‐driven product development would be highly beneficial. Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

looking for a Senior Software Engineer to help build the Perch camera system, Based in London (hybrid), you will work across platform, perception, and ML systems. You will help us improve how we collect, process, and analyze performance data at scale, spanning from devices collecting real-time to backend services … ML infrastructure. All of which will have a direct impact on customers and their experiences with the product. This role suits a strong generalist who has seen many parts of engineering. You might have worked on any of the following: high-throughput systems, computer vision, robotics, ML infrastructure, or other ...

Augur is seeking an ML Researcher in London to join the Machine Learning team. You will own research directions end-to-end, developing novel algorithms at the intersection of computer vision, deep learning, and 3D geometry, with deployment to production-scale real-time spatial intelligence. The role ...

Relation is a sector-defining TechBio company in London, building transformative medicines through single-cell multi-omics, ML, and scalable software. As a Machine Learning Research Engineer, you will bridge theory and production, designing and supporting systems used by biologists and data scientists. You will work … interdisciplinary team, access cutting-edge datasets and infrastructure, and contribute to training large models, profiling GPU workloads, and deploying robust ML pipelines in #J-18808-Ljbffr ...

Principal Data Scientist & Machine Learning Researcher in the United Kingdom. This role involves design, planning, and technical leadership across multiple AI/ML projects within a hybrid working environment. The ideal candidate must have a BSc in a relevant field and multiple years of experience in delivering innovative … ML solutions. You will join a collaborative culture focused on providing technical leadership and developing novel AI solutions for defence and aerospace technology. #J-18808-Ljbffr ...