701 to 725 of 2,927 Machine Learning Jobs in London

# ML Model Governance LeadFinancial Services — Model Risk ManagementHybrid · London £95,000–£130,000 42 days ago 13 interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate, fair … model risk management for decades. In 2026, that framework is being extended — sometimes under regulatory pressure, sometimes proactively — to cover the new generation of ML and LLM models that are increasingly making or influencing decisions that affect customers and markets.Role & Responsibilities:• Design and operate the model governance framework: model inventory ...

support of deterministic simulation, and post-training and adapting state-of-the-art open-source base models Requirements Strong research track record in machine learning, deep learning, or foundation models: evidenced by research publications, open-source contributions, or other evidence of original technical work Deep understanding … preference optimization, synthetic data, distillation, continual learning, or alignment Strong coding and experimental skills: ideally in Python (and/or Rust) and modern ML tooling Ability to move fluidly between research ideas and practical implementation: comfort quickly moving from concept to early-proof right through to release and productization ...

About Atom Learning We're Atom Learning and our mission is to help every child reach their potential. We combine exceptional teacher-made content with technology, data science and machine learning to make high-quality, personalised education more accessible. Our aim is to give every child … access to the kind of insight, support and individualised learning that was once largely limited to expensive private education and tutoring. We're one of Europe's fastest-growing EdTech companies. Since 2018 we've grown from a startup of four friends to over 100 people, with specialists across ...

Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering (e.g., TensorFlow Developer, Azure AI Engineer Associate) are desirable. Demonstrated commitment to continuous learning in AI system architecture, secure engineering, and cloud‐native development. … GenAI applications Strong hands‐on experience with cloud‐native AI development onMicrosoft AzureandGoogle Cloud Platform (GCP), including services such as Azure OpenAI, Azure ML, Vertex AI, and Gemini. Demonstrated ability to lead cross‐functional engineering teams across front‐end and back‐end disciplines. In‐depth understanding of secure engineering practices ...

research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend … systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working with high ownership in a small, senior team, partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Desired Experience with designing ...

modeling across domains, and the self-service tooling that lets other teams onboard new data sources within clear guardrails. It works closely with ML Platform, Applied and Data Scientists, Analytics Engineering, Backend, and Product squads, so that datasets, features, and pipelines are production-ready, observable, and reusable across Preply. … Senior Engineering Manager for Data Platform, you'll own the engineering strategy, execution, and organizational health of the team that every analytics, ML, and AI initiative at Preply depends on. This is a leadership role for a manager with strong technical judgment. You'll go deep on data architecture, reliability ...

leading cross-functional software oriented projects from inception to delivery. Preferred qualifications: 5 years of experience with data structures and algorithms. Experience with ML frameworks (e.g., TensorFlow, JAX, PyTorch) and hardware performance analysis, particularly with TPUs and GPUs. Experience with Compilers and Compiler construction. Experience programming in Python. Ability … display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Core ML team contributes to frameworks and compilers that support the Google Cloud Platform (GCP) Cloud TPU service and related ML models/frameworks. It provides ML ...

JPMorgan Commercial & Investment Bank is seeking an Applied AI/ML Senior Associate Machine Learning Engineer in its Applied AI ML team. The role combines cutting-edge AI techniques with the bank's data assets to optimize decisions and automate processes, leveraging NLP, CV, and statistical ML. ...

research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend … systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working autonomously in a small, senior team, partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Experience with designing and refining large ...

Overview We are seeking Freelance Facilitators to deliver our exceptional virtual education experiences. Application Instructions: Our industry is filled with tech buzzwords (e.g., AI, machine learning, blockchain). Show us how you would explain a buzzword to an audience who understands the concepts, but may not have practical … Facilitator at Decoded, you will be responsible for: Workshop Preparation Adequately preparing for scheduled workshops to ensure consistent excellence. Reviewing exercises and learning materials before each session. Learning about your learners and their businesses. Familiarize yourself with the course structure and content, proactively addressing any knowledge gaps. Engaging ...

innovation. The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development … Data Management. As a Fusion Product Delivery Manager within JPMorganChase CDAO Function, you will oversee the strategic direction and execution of firmwide data/ML/AI projects and programs across various Line of Businesses. You will drive innovation, influence senior leadership, and ensure alignment with the bank’s strategic ...

Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user … management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable ...

standards, and emerging risk practices, and translate them into actionable program enhancements. You’ll need to have: 10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI. 4+ years of experience directly focused …/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability ...

Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language … processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Knowledge of big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB ...

will play a hands-on technical leadership role, working with groups of data scientists, driving the design and delivery of next-generation AI/ML models for merchant risk at Paysafe. Reporting to the Head of Merchant Data Science, you will focus on advanced modelling, applied research, and production delivery … heart of Dublin, whilst our London office is in St Paul's. The impact you will have: Design, prototype, and productionalize advanced AI/ML models for merchant fraud, abuse, chargebacks, and anomalous behaviour. Lead the adoption of modern modelling techniques, including: Transformers and sequence models Representation learning & embeddings ...

Director of AI/ML within the Commercial and Investment Bank, you will set the vision and lead the enterprise portfolio for agentic AI that automates and optimizes complex business workflows at scale. You will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps … experience building and deploying AI applications in large scale production environments. Experience managing data science teams and couching team members Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn). Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK). Experience with generative models (transformers, GANs/ ...

Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. ...

looking for a hands-on, generalist data scientist to own ML across all parts of our broad business, including Membership, Food & Beverage, Operations, Digital and Events. As Lead Data Scientist, you'll be the go-to expert for turning our vast datasets into predictive and prescriptive products that change … business rest on sound evidence. Key responsibilities.. Machine learning products Own the design, build and continuous improvement of Soho House's ML portfolio, including member churn and segmentations, personalisation and recommendation engines (e.g. events), and demand forecasting for labour and operational planning Frame business problems with stakeholders, pick ...

agentic automation opportunities, define control and approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes. Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required … entitlement controls, observability, deployment automation, and cost and resilience trade-offs across AWS, Azure, or GCP. Demonstrated experience integrating LLM or AI/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model performance ...

agentic automation opportunities, define control and approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes. Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required … controls, observability, deployment automation, and cost and resilience trade-offs across AWS, Azure, or GCP. Must have: Demonstrated experience integrating LLM or AI/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model ...

grow your career, collaborate globally, and influence the technical vision of our organization. We value your expertise in software engineering and AI/ML, and offer a dynamic environment where your ideas and leadership drive real change. Experience the benefits of working with cutting-edge technology and a supportive, inclusive … team. Together, we push the boundaries of what's possible. As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps ...

Secure Consult in London is seeking a Senior Machine Learning Research Engineer to develop learning-based locomotion and whole-body control for dynamic humanoid robots. You will collaborate with interdisciplinary engineers … build robust motion capabilities for real industrial settings, advancing simulation-to-real transfer and real-time policy optimization. The role requires 3+ years in ML, strong deep learning and policy architectures knowledge, and hands-on RL/IL experience. #J-18808-Ljbffr ...

Amazing opportunity for an experienced, end to end ML Engineer to play a key role for a well established data company who embarking on the next phase in their growth journey! A very grown up, collaborative and flexible environment offering fantastic career development opportunities Role Overview Drive … ML development, including pipeline building, model deployment, and ML Ops. Collaborate with cross-functional teams to integrate ML solutions into products and ensure scalable, efficient production workflows. Key Responsibilities Design, build, and optimize ML pipelines. Deploy and manage models in production with orchestration tools. Develop CI/CD pipelines ...

skills Ability to use modern tools to enhance productivity and code quality Nice to Have Experience with on-device machine learning (Core ML, TensorFlow Lite) Knowledge of SwiftUI and Jetpack Compose Experience with mobile CI/CD (Fastlane, Bitrise) Understanding of mobile security best practices Experience with …/VR technologies Published apps in App Store or Google Play Competitive salary and benefits Learning and conference budget Health and dental insurance Collaborative and innovative team environment #J-18808-Ljbffr ...

sound, scalable, and built to deliver measurable business results. You Will: Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling … your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they ...