2,501 to 2,525 of 2,755 Machine Learning Jobs in London

London and EMEA. Data Risk Management evaluates: • Data usage across trading, analytics and reporting systems • Data flows across internal and external platforms • AI/ML model data dependencies and outputs • Risks from data aggregation, transformation and replication Job Responsibilities Support implementation of the enterprise Data Risk Framework, covering data misuse … data quality, data lineage and traceability, data availability, transformation risks, replication risks and AI/ML-related risks. Assist in defining, documenting and operationalizing controls and standards across the data usage lifecycle. Partner with Technology teams in London and other regional hubs to map, monitor and escalate risks associated with ...

Research Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews, architecture … decisions, and research direction for the inference stack. You will: Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery. Own the team's research ...

systems as well as front-end systems to enable our advertisers seamlessly advertise on our platform. You will lead, guide and mentor software engineers, ML engineers, and software managers. This role is based in our London office with a hybrid setup, typically 3 days in the office, and will … parent-friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content Regular Employee Resource Group ...

stable deployments to customer engineering or support teamsQualificationsWhat We're Looking For2–5 years of experience in a software engineering, solutions engineering, or ML deployment roleProficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)Familiarity with building LLM applications … fastStrong interpersonal skills; you're just as comfortable on a whiteboard with a customer as you are in codeBias toward action, ownership, and continuous learning in dynamic environmentsNice to HaveBackground in SaaS, customer experience, support operations, or manufacturing systemsExperience deploying AI in mission-critical environmentsPrior work with enterprise ...

TOGAF and/or relevant cloud security certifications are desirable, as is demonstrable learning in AI security, AI risk management, secure engineering for ML systems, adversarial AI, responsible AI governance and modern threat modelling techniques. Benefits Our benefits are designed to make health happen for our people. Viva ...

JPMorgan Chase & Co. is seeking an Applied AI ML Lead to design and deliver production-grade AI/ML solutions for the LLM Suite platform. This role requires hands-on engineering, architecture ownership, and collaboration with engineering teams to implement secure and high-quality software. Ideal candidates should have ...

entrepreneurial mindset to find, win and grow new customers. You’ll be searching for business while being an engaged member of the AI/ML community, identifying prospects who will benefit most from our solution. You’ll accomplish this by running an effective ground‐game, talking to AI/ML … prioritizing candidates currently based in the London metro area. What You’ll Do Be a networker, seller and closer Build relationships with AI/ML stakeholders and be an active member of the community Conduct discovery with prospects and share the Arize vision Run a sophisticated prospecting strategy ...

Security Clearance (SC) and willing to work on site with these clients from time to time. About the roleAs a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time … across multiple client engagements. Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments. Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation. Managing and coaching a distributed team of engineers, setting development ...

collaboration, and raise the bar for model quality and operational excellence. What we’re looking for Deep expertise in speech, audio, or multilingual ML, particularly in ASR, MT, TTS, end-to-end ST, or large speech models. A hands-on builder who enjoys training models, running experiments, debugging pipelines … integrating ML systems into production. Strong understanding of real-time streaming constraints and how to design models that operate reliably at low latency. Experience shipping ML models to production, maintaining them at scale, and working with engineers on deployment, monitoring, and serving. Ability to lead complex research efforts while staying ...

strategy. Mentor and guide engineers, fostering best practices in coding, testing, and operational excellence within and across teams. Safely integrate and operate AI/ML-enabled solutions to improve business and customer outcomes, ensuring secure and ethical adoption. Demonstrate adaptability by contributing to projects spanning different technical stacks, domains … experimenting, and raising the bar for how we build products and experiences. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Hands‐on experience with multiple system architectures (e.g. microservices, event‐driven, composable) and the ability to evaluate ...

fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building … good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ...

unblock delivery, and accelerate adoption. (up to 25–50% travel expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Have delivered AI, ML … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. competitive compensation and benefits optional equity donation ...

Principal Product Data Scientist to join the Operations Delivery Intelligence directorate, driving industrialised decision-support software across airline operations. You’ll own production ML codebases, lead end-to-end delivery, and partner with stakeholders to optimise complex operational problems. You’ll prototype and deploy ML models in Python, build robust ...

startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet … comparable genomic foundation models. We are looking for a Senior Bioinformatics Scientist to join our Genomics team in London, working closely with our deep-learning modelling, engineering, and translational teams. You will focus on defining what data our models require, what “good data” means and validating through evidence ...

Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). … Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire ...

systems you build Make pragmatic technical decisions that balance speed of delivery with long‐term maintainability Collaborate across the team Work closely with ML researchers, product engineers and domain experts (materials scientists, hardware engineers) to understand their needs and translate them into robust backend solutions Contribute to architectural decisions … resolution that I would never again solve an isolated problem except as characteristic of a class" Bonus : Previous experience working in an AI/ML environment, familiarity with the workflows, tooling and pace of AI teams is a real advantage. Experience with graph databases, knowledge graphs or scientific data platforms. ...

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 … validation concepts from ideation to implementation in ambiguous, fast-paced environments. Degree in Computer Science, Robotics, Aerospace, or a related field. Desirable Background in ML, Computer Vision, Motion Planning, or Data Science. Experience in the Automotive or AV industries. Experience with SOTIF and safety validation. Skilled in evaluating and validating ...

developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied … observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good ...

trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower … GrafanaGood understanding of networking and system conceptsThe willingness to take on tasks both big and smallExcellent communication skills and fluency in EnglishA passion for learning and innovative problem-solvingExperience with SQL and the use of databases is a plus BenefitsTower's headquarters are in the historic Equitable Building, right ...

Overview Our client is building advanced AI and autonomy technologies that solve some of the most technically challenging problems in computer vision, robotics and machine learning. Role Overview We are seeking a Senior Robotics Software Engineer to develop, test and deploy software for autonomous and semi-autonomous robotic systems. … Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership of technical ...

DevOps practices Strong understanding of software development best practices and agile methodologies Excellent problem-solving and communication skills. Preferred Familiarity with AI/ML concepts and tools Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical … AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable ...

teams to break down requirements, refine technical solutions, and deliver features iteratively while maintaining a strong customer focus. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including personalization, recommendations, or automated insights, while ensuring responsible use of data and adherence to privacy and security standards. Demonstrate … familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, and adapt your Android engineering skills to work across multiple domains, services, or shared mobile components as needed. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field ...

withdevelopers, VFX artists, and AI teams to push the boundaries of synthetic media andenhance the performance of our proprietary tools. ResponsibilitiesTrain and fine-tune ML models to generate hyperrealistic synthetic media. Curate, manage, and optimise datasets to achieve high-quality, lifelike outputs. Diagnose and solve challenges using both in-house … product managers to translate project requirements into technical solutions. Continuously monitor and optimise model performance for efficiency and accuracy. Must HaveProven experience training ML models (GANs, Stable Diffusion, or similar).Familiarity with UNIX/Linux environments. Critical eye for facial likeness and visual quality. Excellent teamwork and communication skills. Strong ...

fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm. THE ROLE: WorldQuant is seeking … research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challengesHave a strong interest in learning about worldwide financial marketsPossess good communication and presentation skills in EnglishPosition based in London. Visit for more information about WorldQuant Brain. By submitting this ...

trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower … Survival, Wall Street Rides FAR and more)Volunteer opportunities and charitable givingSocial events, happy hours, treats, and celebrations throughout the yearWorkshops and continuous learning opportunitiesAt Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. ...