126 to 150 of 1,143 Machine Learning Jobs in London

JPMorgan Chase & Co. is looking for an Applied AI/ML Lead - Vice President - Machine Learning Engineer to join their Infrastructure Platform team in Greater London. The role involves leading the deployment of cutting-edge AI and machine learning solutions, designing frameworks for enterprise-wide … development, and providing technical leadership to junior engineers. A Bachelor's or Master's degree in a relevant field and experience in machine learning engineering and AWS deployments are required. Join a team that is transforming financial services through innovative AI applications. #J-18808-Ljbffr ...

deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture/Deployment: Architect … related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business ...

Core AI team based in London. As a Senior Research Engineer in Core AI, you will design, build and ship the computer vision and ML models that power iProov’s facial biometric and liveness systems. You’ll own projects end‐to‐end, from idea and experiment to production integration … incident response, in a highly adversarial security context. How you can make an impact Lead research projects in the areas of computer vision, machine learning and biometrics. Develop and train deep learning models for face verification, liveness and attack detection. Take the lead on shaping data ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.ResponsibilitiesLead the full research process, from forming hypotheses to delivering … reports.Develop reliable infrastructure and utilities to support post-training research and evaluations.Collaborate with other researchers and engineers to accelerate project velocity.### Skills Required* reinforcement learning (RL)* supervised fine-tuning (SFT)* agent-based systems* JAX* Flax* TensorFlow* PyTorch* systems design### Tags:UKLondonShare Job:Application planning## What to evaluate before applying### ...

Head of Data Engineering and Machine Learning to join our team in London. In this role you will lead the data and ML teams that power the Quantum Platform, own the technical strategy and delivery roadmap for our data infrastructure and model estate, and turn business ambition into … intelligence that scales. Key Responsibilities Build, lead and develop a high-performing data engineering and ML team, recruiting and retaining engineers who take pride in what they ship and how it performs Set and own the data engineering and ML technical strategy, so our data infrastructure and model estate scale ...

perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , youll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … hybrid working approach with 2 days a week onsite in Osterley office . What? youll do: Youll be the technical lead for a critical ML domain (e.g.,? live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

Moonpig in Greater London is seeking a Head of Machine Learning & AI to define and lead machine learning strategies that enhance customer experience and commercial outcomes. You will manage a team of specialists, ensuring the quality and lifecycle of ML models. The role involves collaboration with Product Management to shape initiatives and requires proven experience in eCommerce and machine learning systems. The position ...

Research Scientist, Agent Post-Training, DeepMind DeepMind London, UK Apply Qualifications Bachelor's or Master’s degree in Computer Science, Machine Learning, a related quantitative field, or equivalent practical experience. 2 years of experience with reinforcement learning (RL), supervised fine-tuning (SFT), or agent-based systems, including … modeling or applied infrastructure. 2 years of experience with machine learning frameworks such as JAX, Flax, TensorFlow, or PyTorch, and scaling experiments. Preferred qualifications PhD in Computer Science, Machine Learning, or a related quantitative field. Publications in reinforcement learning (RL), tool-use, or agentic systems ...

evolving goals. Passion for bridging fundamental AI research with impactful applications. Desired Demonstrated research track record with first‐author publications at top‐tier ML/AI conferences (NeurIPS, ICML, ICLR, etc.) Hands‐on experience with RL fine‐tuning frameworks (e.g., TRL, verl) and distributed multi‐GPU training. Active GitHub portfolio … showcasing relevant ML/AI projects. Strong interest in AI for science, world models, or reasoning systems for large language models. #J-18808-Ljbffr ...

knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including … LangChain and LangGraph Build agentic AI workflows and enterprise AI services using retrieval, tool-calling and orchestration patterns Deliver end-to-end AI/ML pipelines covering experimentation, deployment, monitoring and optimisation Apply MLOps and LLMOps best practices across model lifecycle management, governance and production monitoring Work closely with Data ...

SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands‐on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading … technical vision and delivery of our core platforms: Build world‐class platforms Architect cloud‐native data and AI systems that support analytics, ML workloads, and real‐time operations Create API‐first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead ...

Associate Director, AI Products Engineering, London Category: Data & AI Location: London, London, GB Are you passionate about machine learning, AI, and data sciences? The Data & AI Engineering function is a global organisation within R&D Business Unit at Novo Nordisk, shaping the data foundations and intelligent infrastructure … strategic consulting capacity, with a track record of delivering complex AI and Machine Learning initiatives across data engineering, AI/ML research, and IT platforms. Experience engaging with senior business stakeholders and translating business needs into technology and AI strategies. Strong stakeholder management, communication, and influencing skills across ...

performance monitoring Design and implement forward-looking AI proof-of-concepts, contributing hands-on to development where needed Drive innovation and best practices in machine learning, analytics, and data science delivery About You: Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field Extensive experience leading data science and AI initiatives in complex environments Deep expertise in machine learning, statistical modelling, and business analytics Strong leadership, stakeholder management, and communication skills, with the ability to influence across all levels Experience within FMCG or a similar fast ...

Snowflake, and others, we’ve been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years.3x AWS AI/ML award wins.3x NVIDIA Partner of the Year titles.2x Snowflake Partner of the Year awards.We have also garnered top analyst recognitions from Gartner, ISG, and Everest … Work for the third year in a row- 2021, 2022, 2023.Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!For more details, visit: Website or LinkedIn Page.Experience Level: 10+ years of experience selling Technology ServicesWork Location ...

Platform Engineer, you'll play a key role in designing, building, and operating a modern AWS cloud platform that supports large‐scale data processing, machine learning, APIs, and web applications. Working in a highly collaborative environment alongside Data Engineers, Developers, Data Scientists, and Architects, you'll help deliver … driven products. Key Accountabilities and Duties Design, build, and operate the cloud infrastructure and platform services that support data platforms, analytics workloads, AI/ML services, APIs, and web applications. Develop and maintain reusable infrastructure patterns, deployment frameworks, and automation capabilities using Infrastructure as Code. Build and optimise cloud‐native ...

applications by building scalable platforms that bring cutting‐edge AI capabilities into real‐world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across … optimization Create robust data and inference pipelines that support both real‐time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact ...

high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We’ll Trust You to: Build and maintain highly scalable, resilient and observable … needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient and observable … needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

strategic leader responsible for defining and driving the organisation’s data, analytics, and artificial intelligence strategy. This role oversees enterprise data platforms, AI and machine learning initiatives, business and market intelligence, and data governance, ensuring that data is transformed into actionable insight and scalable AI solutions supporting delivery … align with commercial priorities and goals. Build frameworks for responsible, ethical, and compliant use of AI across the organisation. AI & Machine Learning (ML) Lead the development, deployment, and lifecycle management of AI/ML models and automation products. Identify and partner with the commercial leadership to deliver high ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

Data Science function? That's exactly what this opportunity offers. We're working with a growing insurance business investing heavily in data, pricing and machine learning. They have built the platform. Now they're looking for a Data Scientist who wants to build what comes next. This … genuine greenfield role. You'll work directly with the Head of, developing production machine learning models, improving pricing capability and helping create the company's long-term Data Science strategy. If you're looking for ownership instead of layers of bureaucracy, this role is worth a conversation. What ...

scale complex data environments Large scale modern tech transformation programme experience is highly desirable CI/CD and Infrastructure as Code Experience supporting production ML workloads at scale Details Hybrid working, London 3 days per week near Holborn (which will flex/reduce over time) £850‐£900 per day Inside … preferred Must be UK based If you’re an experienced Senior to Lead level MLOps Engineer with a passion for building scalable, production‐grade ML platforms, we’d love to hear from you. #J-18808-Ljbffr ...

time fraud detection platform to craft solutions for our enterprise customers . About the rol e: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring sys temsProven ability to create polished presentations and effectively communicate insights to customers with attention to de tailHave extensive multi-tasking and prioritisation skills. ...

Overview Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (SfM), feed-forward models, and spatial foundation models. Collaborate with research scientists and engineers … constraints, and real customers. Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. Responsibilities Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning ...