101 to 125 of 152 Machine Learning Engineer Jobs in London

Security Clearance (SC) and willing to work on site with these clients from time to time. About the role As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting‐edge AI systems for our diverse clients. You’ll design … high‐impact ML systems Designing and building production‐grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage ...

Graham Capital in Greater London is looking for a Machine Learning Engineer to join their Data Science team. This position involves collaborating with quantitative researchers, portfolio managers, and technology teams to develop innovative data solutions. Candidates should have at least 3 years of experience with Machine Learning on large data sets and proficiency in Python. An anticipated base salary range of $175,000 to $250,000 is offered for qualified applicants, emphasizing a collaborative and cutting-edge workplace environment. #J-18808-Ljbffr ...

company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the role As a Lead Machine Learning Engineer at Faculty, you’ll drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. … Architecting production-grade, secure ML software, orchestration tools, and scalable cloud infrastructure Establishing company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at scale Collaborating with cross-functional teams and executive stakeholders to translate high-impact client needs into resilient AI solutions Advising ...

all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham Capital Management, L.P. is seeking a ML Engineer to join our Data Science team, a future‐looking technical arm of Graham Capital. We envision, design, prototype and implement the processes that feed Quantitative … welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work ...

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 … role Today at Wayve, our model development cycle is composed of multiple complex training phases, each building on the last. As a Staff Machine Learning Engineer (Ops/Release), you are expected to have a deep understanding of each of the training phases, understanding how our models ...

native game development and research studio exploring the future of interactive entertainment, digital actors, and intelligent worlds. We're looking for an experienced Machine Learning engineer to join our team, focused on building custom, efficient models and integrations to power real-time interaction for the next generation … personal experience (show us your personal projects!) Nice to Have: Experience building agent harnesses or user-facing systems based on LLMs Experience shipping machine learning models on consumer devices or edge compute Experience optimising, quantising or writing kernels for LLMs Knowledge of C/C++, or experience with ...

scale. Over 3 billion distinct users every day. Billions of items power a multibillion-dollar ad business. We are hiring a senior staff Machine Learning Engineer to lead this journey. You will tackle the hardest ML systems challenges in training, serving, and evaluation. You will … global scale and love building tech that actually ships, come build with us. 12+ years of experience designing, building, and operating large-scale machine learning systems in production environments Experience architecting ML infrastructure components such as distributed training pipelines, model serving systems, feature stores, or ML evaluation frameworks ...

diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Lead development of machine learning enablement workflows for Rivian edge AIplatforms. Build and improve front-end compiler and model-ingestion tooling needed to support abroad model … RAP1 and future platforms. Develop and scale robust quantization-aware training and model optimizationinfrastructure. Port, optimize, validate, and benchmark machine learning models for deployment onhardware accelerators and NPU-class architectures. Improve performance across memory, scheduling, sparsity, and data-movementconstraints in close collaboration with hardware and systems teams. Create ...

real impact, beyond just a paycheck. We welcome talented engineers and researchers. Explore our roles, including project-based opportunities and internships. Join our team Machine Learning Engineer As an ML Engineer, you will design, build, and deploy predictive models that drive ourtrading strategies. You'll work ...

risk. More at extrac.ai. The Role Location: Hybrid (In-office in London, minimum 2 days per week) We are looking for a Senior ML Engineer to join ExTrac's Machine Learning team, which owns our modelling capabilities end-to-end. You will partner directly with software engineering … engineers who design the data collection and processing backend, and engage directly with senior stakeholders. We look for people who enjoy challenging problems, keep learning and build systems that scale. We value low ego, genuine ownership and a passion for applying AI to high-stakes intelligence challenges. What ...

strategic risk. More at extrac.ai. The Role Location: Hybrid (In-office in London, minimum 2 days per week) We are looking for an ML Engineer to join ExTrac's Machine Learning team, which owns our modelling capabilities end to end. You will work with software engineering … parts of a problem. You will take projects from prototype through to reliable production deployment. We look for people who enjoy challenging problems, keep learning and build systems that scale. We value low ego, genuine ownership and a passion for applying AI to high-stakes intelligence challenges. What ...

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape … advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures ...

firm’s scale, data, and technology to deliver measurable impact across the Commercial & Investment Bank and Payments. As a Lead AI and ML Engineer, you’ll collaborate with talented teams in a fast-paced environment, building agents that real businesses depend on. We offer opportunities for career growth, exposure … cutting-edge platforms, and the chance to make a difference in a regulated, secure setting. As a Lead AI and ML Engineer in Digital & Platform Services/Data Analytics, you will design, productionize, and operate LLM-powered Agentic Commerce B2B agents on NEO. You will apply MLOps for automation ...

What you will do Build and productionise machine learning models against healthcare data at pace. Strengthen data pipelines, model evaluation and deployment tooling. Work directly with the product and clinical safety teams on model behaviour and guardrails. Leave the internal team with documentation and monitoring they … without you. What we are looking for Proven contract delivery in production machine learning environments. Strong Python, cloud ML tooling and MLOps discipline. Experience with healthcare, life sciences or another regulated data domain is useful. Available at short notice and comfortable operating outside IR35. Engagement ...

company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role As an Applied Machine Learning Engineer, you are the technical owner of a customer engagement. This is what is globally known as the Forward Deployed Engineer … strong Python plus at least one systems language, and fluency with AI-assisted and agentic engineering as a core part of how you build. Machine learning. You take open models and make them better on a customer's task: SFT, LoRA and other parameter-efficient methods, reinforcement learning ...

forward thinking investment firm of Goliaths is hiring a mid-level Machine Learning Engineer in their London office on a hybrid basis. Firm is 1-3 days on-site and is willing to wait for full non-compete terms of up to 24~ months for the correct … space (ideally internships, commercial experience or personal projects built to date). Alternatively mathematics, statistics, ops research or econometrics related degree. Extensive experience in Machine Learning. Core understanding of Python. Beneficial skills: Research publications & experience in foundational modelling. Prior knowledge of C++17. Working in the capacity of a 'Research ...

innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. About the role Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying ...

team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking a Staff Machine Learning Engineer interested in the development of end-to-end models that unify perception, prediction, and planning in a single learning system. … Science, Robotics, or a related field 5+ years of experience building and deploying large-scale ML systems Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation Strong software engineering background, with fluency in Python and C++ Experience training and evaluating transformer models ...

Faculty Science Limited is seeking a Machine Learning Engineer to bring production-grade ML solutions to real-world client projects. You will help design scalable software architectures, validate technical feasibility, and ensure timely delivery of high-quality ML systems in collaboration with cross-functional teams. The role ...

Faculty is seeking a Lead Machine Learning Engineer to steer the technical direction and delivery of complex AI projects in a client-facing environment. You will act as a technical expert, shaping architecture, expanding capabilities, and ensuring scalable, responsible AI deployments. You will lead a cross-functional ...

Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models powering Snapchat features. You’ll apply ML techniques to solve real-world problems, participate in data analysis, training, and deployment, and work with cross-functional partners to ship scalable ML-driven capabilities. ...

Snap Inc. is seeking a Machine Learning Engineer to join our AI-first engineering team in London. You will build and deploy ML models for core Snapchat products, applying established techniques to real-world problems. You’ll contribute to the ML lifecycle, including data analysis, model training ...

team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production … load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like ...

team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer onthe Applied AI team at Nebius Token Factory,you will own model and endpoint optimization from model artifacts through production deployment. … load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like ...

Agent Platform Endpoints for model serving Cloud-native on GCP. Services run on Kubernetes, with extensive use of BigQuery The Opportunity As a Senior Machine Learning Engineer at Relay, you'll: Own critical part of ML: productionising of our models end-to-end, from training pipeline through ...