726 to 750 of 2,708 Machine Learning Jobs in London

break down complex problems into manageable steps. Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team … members. Desirable experienceCloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. Advanced Education ...

things well: deliver high-impact technical training to corporate clients, and coach apprentices through to successful completion. If you've got strong AI/ML/Data expertise and enjoy both classroom-style delivery and 1-2-1 learner support, this is a broad, high-visibility role with real autonomy …/Data curriculum evolves. The role: Design and deliver technical learning content across AI, Machine Learning and Data Science — covering Python, ML frameworks, cloud platforms and applied AI use cases Work directly with corporate clients to understand capability gaps and shape tailored, blended learning solutions across ...

hands‐on role with responsibility for leading a multidisciplinary squad that executes on AI Accelerator initiatives. You will work in close partnership with ML Engineers throughout the research and implementation process and contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIES Own and lead significant research workstreams … clinical and health records, medical imaging. Develop and validate novel approaches for learning from biomedical data, producing well‐documented and reproducible research that ML Engineers can implement effectively. Design and run rigorous experiments to test multi‐modal model architectures, training approaches and methods, interpreting results with scientific rigour ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future …/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services. AI/ML:Familiarity with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, LlamaIndex).Direct experience in developing, integrating, and deploying agentic AI systems. Leadership & Soft ...

Head of Learning & Development (Global) London, UK About Datatonic Datatonic is a leading global data and AI consultancy, driving business transformation for the world's most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across … Cloud Data Engineering, Analytics, and Advanced Machine Learning/Generative AI. We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal ...

product company building cutting-edge machine learning technology that enhances how people experience sound across digital platforms. Their flagship products use ML and signal processing to deliver real-time audio quality improvements at scale — deployed across cloud, edge and embedded environments. The role A high-impact MLOps role … owning end-to-end ML pipelines — from data through training, evaluation and deployment. You'll work closely with audio ML researchers and DSP engineers to move models into production, implement monitoring, build CI/CD pipelines and ensure reproducibility across the full model lifecycle. There is also a mentoring element ...

world class campus in Ecopark, developed with an investment of up to USD 165 million, offering modern facilities and an international-standard learning environment for more than 10,000 students upon completion. POSITION REQUIREMENTS The position requires a Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related … field, along with substantial university-level teaching experience and a proven ability to engage and inspire students. Candidates must possess expertise in data analysis, machine learning, deep learning, natural language processing, big data, quantitative analysis, and data visualization, as well as proficiency in relevant programming languages ...

platforms. Contribute to model lifecycle management tooling: model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation. AI Enablement Implement AI/ML components within the model workflow, including LLM-based automation for model documentation generation and updating, intelligent data quality checks, and workflow assistance. Integrate AI tooling … into a controlled, auditable, production-grade environment, with appropriate testing, monitoring, and governance controls. Stay current with developments in applied AI/ML and evaluate their applicability to risk technology use cases. Collaboration & Standards Work within a cross-functional agile team alongside quants, validators, data engineers, and program management. Promote ...

DescriptionPosition at DNEGSenior ML Software DeveloperML TechnologyThe ML Technology department at Brahma DNEG-Dedicated Unit (Brahma DDU) explores, tests, and deploys machine-learning and automation solutions to support the technology and infrastructure that powers DNEG's multi-site, global VFX and Feature Animation studio. With thousands of artists … Python applications, high-quality tools, services, and web front-end UIs that enable award-winning VFX and feature animation work. Your role: Software DevelopmentDeploy ML solutions and integrate AI tooling within the VFX pipeline with minimal burden on artists and production. Design and build web front-end UIs (dashboards, curation ...

GenAI to aim high: boosting clinical trial success by 20% , cutting development time by 3 years , and halving study costs. As Senior Applied AI&ML Engineer, you will prototype and build the systems that make those targets real – bringing your scientific and clinical judgement to work with stakeholders to develop … ML and agentic systems to drive transparent and actionable recommendations. You’ll integrate multi‐source data - historical trials and scientific datasets into production systems to improve the process of designing clinical trials and increase their probability of success. Who we are looking for: We are deliberately looking for someone whose ...

# 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 ...

hands-on role with responsibility for leading a multidisciplinary squad that executes on AI Accelerator initiatives. You will work in close partnership with ML Engineers throughout the research and implementation process and contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIES Own and lead significant research workstreams … clinical and health records, medical imaging. Develop and validate novel approaches for learning from biomedical data, producing well-documented and reproducible research that ML Engineers can implement effectively. Design and run rigorous experiments to test multi-modal model architectures, training approaches and methods, interpreting results with scientific rigour ...

opportunity? We're looking for Senior Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader … product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers ...

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 ...

JPMorgan Commercial & Investment Bank is seeking an experienced Applied AI/ML Senior Associate Machine Learning Engineer to advance AI in financial services. The role combines research with software engineering to deploy scalable ML products across business lines, leveraging NLP, vision, and statistical ML techniques. You will contribute ...

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 ...

translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive internal thought leadership by defining standards, sharing knowledge … advising product, engineering, and data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep ...

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 ...

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 ...

speed, reliability, and operational excellence. Key ResponsibilitiesRapid Prototyping & Application Development: Lead the end-to-end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud-native services (e.g., serverless, containerization … managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams ...

opportunity? We're looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader … product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers ...

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 ...

equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

Reference: 28948Quantitative Researcher/ML ResearcherCompany Description: We are partnered with a prominent proprietary trading firm, widely regarded as one of the leading quantitative trading firms globally. We are working alongside senior members of their London and New York offices as they seek to expand their teams by hiring … machine learning, whether from an applied or academic background. The ideal candidate will possess a strong understanding of a broad range of ML techniques and be passionate about experimenting with model architectures, feature transformations, and hyperparameters to drive robust and reliable inferences. As an ML researcher, you will ...

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 … proven experience building and deploying AI applications in large scale production environments. Experience managing data science teams and couching team membersProficiency 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/VAEs; diffusion ...