2,526 to 2,550 of 3,534 Machine Learning Jobs in London

data transformation programme. Following significant investment and recent organisational change, there is a genuine appetite to modernise technology, improve data capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability … role has been created to provide the seniority, technical leadership and real-world experience required to establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust ...

best practices to support the end-to-end machine learning lifecycle. Collaborate with Data Engineering and Data Science teams to operationalize ML models through CI/CD, automated testing, deployment, and monitoring capabilities. Ensure robust security, compliance, and governance controls across the platform, including access management, data protection ...

focus on one or more of the following areas: Vocal Synthesis - Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing. Post-Training - Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF … reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence. Editing - Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes. You will also: Run large ...

meet our KPIs and using in-house tools and software- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.- Ability to make … unblock operations- Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible ...

data scientist who’s comfortable building data pipelines bringing together internal and external data to create market‐leading insights using both classical and ML techniques. This will include looking at demand, renewables and transmission system fundamentals forecasts focussed to begin with on the GB intraday power market. What … concepts Team player excited at the idea of ownership across lots of different projects and tools Passion for driving towards Net Zero Experience with Machine Learning is essential Experience in the electricity industry in GB would be useful but not required If this sounds like you then ...

meet our KPIs and using in-house tools and software- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.- Ability to make … unblock operations- Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve ...

looking for an AI Consultant (Artificial Intelligence & Machine Learning) - Financial Services Expertise to join our team in London, UK, in a hybrid working mode.As one of the world’s leading digital transformation service providers, we are expanding our Data and AI Practice across Europe to meet growing client … demand for advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges ...

primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategiesCombine rigorous scientific methods and machine learning or statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which … will be deployed to the investment processDevelop and improve sophisticated python-based software tools and libraries for machine learning researchesWrite and maintain neat, modular code on a jointly owned codebase of significant size and complexityCollaborate with the SPM in a transparent environment, engaging with the whole investment processPreferred ...

Production ownership mindset - you\'ve been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you\'ve worked … alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. ...

building a product organisation where AI isn’t a buzzword - it’s how we work. From rapid prototyping with generative AI to using machine learning models that power our core pricing, our PMs operate at the frontier of what technology can do for insurance.From enhancing pricing models … comfortable in Snowflake as you are in a strategy review.Technical depth. Comfortable engaging engineers on system architecture, APIs and ML pipelines, enough to make informed strategic bets.You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert ...

support the development of more efficient and sustainable turbomachinery technologies.This is an exciting opportunity to contribute to research at the intersection of AI, machine learning, CFD and turbomachinery, working with academic and industrial collaborators to develop innovative approaches to engineering design. The postholder will work with Dr Teng … Thermofluids Division of the Department of Mechanical Engineering.What you would be doingUndertake research in AI-enabled turbomachinery design, CFD and machine learning.Develop and apply machine learning-based design frameworks for turbomachinery applications.Conduct numerical simulations and analyse turbomachinery performance.Prepare and process data for machine learning ...

J.P. MORGAN is seeking an Applied AI ML Director specializing in NLP/LLM and graphs to apply advanced ML techniques to real-world problems. The role emphasizes collaboration across business and technology teams to deploy scalable AI solutions with a strong focus on governance and regulatory compliance. The candidate … should have a PhD or equivalent experience in quantitative fields, deep learning expertise, and a proven record in building agentic AI systems that operate in regulated environments. #J-18808-Ljbffr ...

implementation. Your key responsibilities will include: Lead AI Risk Assessments: Drive privacy risk assessments for prioritized enterprise AI projects, including Generative AI, LLMs, and machine learning use cases. Apply Governance Frameworks: Assess use cases against current privacy and AI risk frameworks (focusing on accountability, human oversight, third-party … advisory. Enterprise Pedigree: Proven experience working with large, global enterprise logos. AI & Emerging Tech: Direct experience advising on the privacy risks associated with GenAI, ML, LLMs, and automated decision-making. Regulatory Mastery: Deep understanding of GDPR, UK GDPR, the EU AI Act , and international privacy requirements. Practical Assessment Skills: Extensive ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … work effectively with engineering, product, research, and operational stakeholders, translating complex requirements into practical solutions and communicating technical decisions and trade-offs clearly.DesirableDeveloper or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers.ML Operations and Experimentation – Familiarity with ...

Business Intelligence (BI), Computational Biology, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Drug Development, Drug Discovery Process, Machine Learning (ML), Pharmaceutical Biology, Pharmaceutical Sciences, Pharmacodynamics, Pharmacokinetics, Pharmacotherapeutics, Product Approvals, Software Development, Stakeholder Relationship Management, Strategic Leadership, Waterfall Model Preferred Skills Employee Status Regular Relocation VISA ...

long-term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support … Advanced degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence.. Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research ...

higher probability of succeeding when they come through us -- thus ensuring higher revenues to all of our merchants. We do this by combining ML/RL and manual knowledge to make routing algorithms that modify a payment’s parameters in real-time. This makes for an exciting technical challenge … have to combine high performance (<100ms), reliability (99.99%), and live machine learning, which requires us to be ahead of the market in terms of technology. How you’ll make an impact Drive and support our software and infrastructure engineers working on proprietary algorithms Uphold high standards ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

Business Intelligence (BI), Computational Biology, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Drug Development, Drug Discovery Process, Machine Learning (ML), Pharmaceutical Biology, Pharmaceutical Sciences, Pharmacodynamics, Pharmacokinetics, Pharmacotherapeutics, Product Approvals, Software Development, Stakeholder Relationship Management, Strategic Leadership, Waterfall ModelPreferred Skills:Current Employees apply HERECurrent Contingent Workers ...

heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. This role will primarily focus on our US unsecured … identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement. Responsibilities Learn the domain ...

designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.In this role, you will … concepts into accessible insights for non-technical audiences.RequirementsQualifications/Experience/Technical SkillsBTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.A total of 4+ years of relevant experience in design, development, and implementation.Proven experience in AI engineering, with ...

designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams. In this role … into accessible insights for non-technical audiences. RequirementsQualifications/Experience/Technical SkillsBTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A total of 4+ years of relevant experience in design, development, and implementation. Proven experience in AI engineering ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … Role As a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

experience across the platform, optimizing ranking algorithms to ensure highly relevant, premium results. AI & Personalization : Champion the use of member data and AI/ML to build dynamic, personalized discovery feeds, surfacing relevant content, offers, and inventory proactively. Merchandising Innovation : Build robust tools and features that allow us to highlight … opportunities. Analytical Rigour : You are deeply comfortable with data science concepts and understand how to measure and optimise the success of complex ranking and machine learning features. Fluent in English. Guidelines for Hybrid/Home Office Located in London. Please note that you will be asked to enter ...