1,226 to 1,250 of 2,897 Machine Learning Jobs in London

partnership teams to turn new signals into measurable model improvements What We’re Looking For Degree (BS, MS, or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience Deep technical understanding of LLM training and evaluation, with hands‐on experience in areas such … design, data curation, reinforcement learning, or reward design Strong software engineering skills and experience building automated data/evaluation pipelines or large‐scale ML systems A track record of owning high‐impact projects end to end, navigating ambiguity, and adapting quickly as priorities change A highly collaborative, action‐oriented ...

Machine Learning to lead a small Data Science team and shape AI adoption across the company’s SaaS products. You will drive ML/AI initiatives from development through to production, collaborating with clients and internal teams to deploy impactful AI capabilities. The role offers hybrid working with ...

Description As an innovative data scientist in . Morgan Asset Management's Data Science team, you will design and implement ML solutions to enhance investment processes, elevate client experiences, and streamline operations. Initially, you will be focused on developing solutions to support our ESG and Stewardship functions with a heavy … Advanced degree (MS or PhD) in a quantitative or STEM discipline or significant practical experience in industry. Commercial experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, personalisation, classification, recommendation or forecasting. Advanced python programming skills with ...

Kingfisher is seeking a Lead Machine Learning Engineer to spearhead the research and development of ML/AI services within the Group Data Science team. You will trailblaze the development of data science algorithms while building, leading, nurturing and retaining a high-performing data science team across banner ...

Almedia in London seeks a Staff Machine Learning Engineer to own end-to-end ML infrastructure for real-time ranking, personalisation, and rewards. You will work hands-on with a small, high-ownership team and influence infrastructure growth. You will shape measurement frameworks and leverage time-series ...

Proximie is seeking an experienced ML Platform Engineer to own the productionization and scaling of the machine learning stack. You will manage platform infrastructure, model training and inference on AWS SageMaker, and ensure reproducible, observable pipelines across hundreds of live hospitals. You will collaborate with ML scientists ...

Engineer, you will support cutting-edge GPU and CPU platforms — including the latest NVIDIA architectures — powering dense, large-scale compute environments used for AI, machine learning, and next-generation workloads. This is an opportunity to build expertise at the forefront of modern infrastructure, where reliability, scale, and performance … regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together. Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your ...

/Machine Learning Engineer to strengthen its AI capability across client projects. You will design, build and deploy advanced AI/ML solutions, including LLM and Generative AI applications, with production readiness in mind. You will work across multiple engagements, translating complex business problems into practical technical outcomes ...

environment. Evaluating emerging AI technologies and helping shape technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such as Azure … OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring, and optimising AI solutions in production environments. A builder ...

that add business value. The ideal candidate will have a Master or PhD in a quantitative discipline, a strong background in statistical analysis and machine learning, and proficiency in Python and SQL. Passion for gaming is essential. #J-18808-Ljbffr ...

Obsidian is seeking experienced machine learning researchers with hands … experience training and improving end-to-end deep learning models across vision and language. You will tackle well-scoped empirical open‐ended ML research problems. We value expertise in adversarial robustness, efficient computer vision, generative image modeling, multilingual pre‐training, and responsible LLM fine‐tuning, with a flexible, project ...

hire that takes it to the next level and scales it into a team. You will own the entire model stack: building custom deep-learning models and training and fine-tuning our own large language models to outperform off-the-shelf commercial models on our mission, using a proprietary … research and development. Evaluate emerging AI technologies and frameworks to continuously refine and enhance our LLM approaches. PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Extensive research experience in large language models, natural language processing, or related AI domains. Proven track ...

cross-functional collaboration. Build an Inclusive Culture: Advocate for team health, inclusion, and diversity, while fostering a respectful and empowering environment that encourages continuous learning and improvement. Qualifications A proven track record as an Engineering Manager of growing and building high-performing engineers, teams, and processes. Experience … individual contributor or leader in the Search Domain. Worked closely with Machine Learning and Data Science colleagues. Worked closely in tandem with Design and Product, as either a Product Engineer in the past, or Engineering Manager, to build rich user experiences. You can work across the full-stack ...

Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're looking for a Research Engineer to join Encord's ML team. You'll work on robotics, computer vision and multimodal research in data curation, annotation, evaluation and quality control, with successful work going into … evaluation Tackle egocentric video understanding, from captioning to deeper 3d understanding Build working prototypes to test ideas end to end, then partner with our ML systems and Product Engineering teammates to bring them into the platform Help shape our longer-term research direction and bring the most relevant ideas from ...

Group in London seeks a Senior Machine Learning Scientist to join the Lodging Search Ranking team. You will design, develop, and deploy ML models that power personalized lodging ranking and recommendations across Expedia brands. The role collaborates with analytics, product, and engineering to translate opportunities into scalable, production ...

Group in London seeks a senior Machine Learning Engineer, Associate Director, to lead AI innovation efforts. You will architect and build breakthrough ML systems that power credit analysis and financial insights, mentoring engineers and partnering with product teams to deliver scalable AI solutions. This is a hands ...

BeyondMath, located in Greater London, seeks a Machine Learning Engineer to advance their Generative Physics simulation platform. You will design and train AI models for physics simulation … optimizing performance while integrating into engineering workflows. The ideal candidate has a Master’s (PhD preferred) in a relevant field and strong experience with ML applications in physical systems. Join an elite team driving impactful technology in sustainable energy and efficient transport. #J-18808-Ljbffr ...

seeking a highly capable Machine Learning Engineer (Quant) to advance predictive models for financial markets in a production setting. You will blend ML research with practical data infrastructure and AI engineering to deliver insights used by portfolio managers. The role emphasizes rigorous validation, explainability, and collaboration with researchers ...

challenges and create valuable products and/or solutions such as insight solutions (inc. BI reporting suites), MarTech/data driven CX solutions or ML/AL solutions (inc, predictive, forecasting, classification and deep learning models). Project Management Excellence - Proven project management experience, including planning, execution, and successful … delivery of Analytics and AI/ML POCs, MVPs and production-grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities. People Manager -People ...

Reply, part of the Reply Group, is seeking an AI Data Scientist to build intelligent, data-driven products. You will design, develop and deploy machine learning models, collaborating with data engineering, analytics, product, and business teams to transform data into actionable insights and high … impact AI solutions. You will explore large datasets, build scalable data pipelines, and monitor model performance while staying current with advancements in AI/ML to guide product decisions. #J-18808-Ljbffr ...

have ~200 Engineers organised into Pillars. Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google … Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth. About the Role We're hiring Backend Engineers to join one of our cross-functional product squads - working closely with other engineers ...

defect escape rate — with evidence. Deep practical security integration experience across the pipeline, including supply chain controls. Hands-on exposure to production AI/ML or LLM systems, including how they are evaluated, deployed and monitored. Technical skills: CI/CD: Azure DevOps, GitHub Actions, GitLab, Jenkins; artefact repositories; GitOps … HashiCorp Vault, cloud-native equivalents), OPA/policy-as-code, SBOM and SLSA concepts. Platform: Kubernetes, containers, Terraform, service mesh, observability stacks AI/ML: MLOps and LLMOps tooling, model registries, vector stores and retrieval architectures, evaluation frameworks, agent frameworks, AI gateway patterns Experience operating under model risk management (e.g. ...

restaging), generate multimodal synthetic experience at scale, and land that data in the same training stack we use for real driving. You sit between ML research and engineering: collaborating with scientists on architecture and conditioning, and with platform engineers on generation jobs, training artefacts, and how synthetic data is mixed … success as a MLE at Wayve, we’re looking for the following skills and experience: 4+ years in applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms. Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging ...

succeed: Proficiency in Python and C++ programming; Knowledge of neural networks and familiarity with standard model architectures; Hands‐on experience with popular deep learning frameworks like PyTorch or TensorFlow; Hands‐on experience with common compiler frameworks for neural networks, such as MLIR or TVM; Strong understanding of computer architecture … experience optimizing performance for targeted hardware; Rapid prototyping capabilities for testing new ideas; Strong interpersonal and communication skills. Nice to have: Experience with a machine learning compiler like IREE, ExecuTorch, ONNXRuntime, or similar compiler backend code generation experience (GCC, LLVM, etc.) Experience with RISC‐V architecture, especially ...

experienced machine learning engineer to design, implement, and optimise AI-powered content understanding, summarisation, and recommendation systems. You will build scalable ML pipelines, deploy models to production, and monitor their performance in collaboration with product and engineering teams. The role involves shaping how Traveler experiences are personalised across ...