51 to 75 of 109 Machine Learning Engineer Jobs in London

these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. Software Engineer (Leadership) - Machine Learning Responsibilities: Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient Effectively … staffing/prioritizing these new ideas Suggest, collect and synthesize requirements and create an effective feature roadmap Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters ...

Lead Machine Learning Engineer - Risk Decisioning Office: United Kingdom Remote:Spain | UK Apply for this role About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine … user. We have interesting problems to solve on an ever-increasing scale. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Check out this blog on Isabelle's journey in ML at Cleo. What ...

Machine Learning Lead Engineer Department: Platform Employment Type: Permanent Location: London Compensation: £110,000/year Description We’re looking for a Machine Learning Lead Engineer who wants to operate as a player‐coach — someone still very hands‐on, but excited to grow into … model lifecycle management Collaborate with DS, Risk, Product, and Engineering Help shape roadmap and hiring Skills, Knowledge & Expertise Strong background as an ML Engineer (not purely DS/research) Experience deploying and running ML models in production Solid software engineering skills (Python, APIs, systems) Good understanding of MLOps stack ...

Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will … across product, ML, and infrastructure teams to shape the direction of the platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer ...

building an autonomous AI platform to fundamentally reinvent how new materials are discovered. Rather than relying on simulations alone, they're combining cutting-edge machine learning with a high-throughput experimental laboratory, creating a closed-loop system where AI designs new materials, experiments validate them, and real-world … from leading global investors , they've assembled an exceptional team spanning AI, physics, materials science and engineering, and are now looking for outstanding Machine Learning Research Engineers to help build the infrastructure powering the next generation of AI for Science. You'll be working on: Building scalable ...

This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines. Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They’re on the critical path … driven systems to proactively protect users and empower safer interactions across the platform. What You’ll Do Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale Own and lead key technical initiatives across detection, classification, and policy evaluation ...

Mechanical engineering, and Chemical engineering. If you want to work where AI meets atoms, we'd like to hear from you. As a Staff Machine Learning Engineer at Orbital, you will architect cutting-edge AI systems for the multi-scale design of physical technologies. When … drive projects from prototype through to production deployment. First and foremost, we want to work with someone with a love of craftsmanship, continual learning, and building systems that scale. We also value low ego, and a genuine passion for using AI to solve major global industrial technology challenges. ...

expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Machine Learning Engineer to join our Engineering Team. This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure … lifecycle Play a central role in selecting and evolving the technological stack Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behavior Develop tools such as: packages microservices pipelines Continuously grow, read, and experiment to stay current with emerging ...

creation tools—we’re investing in systems that ensure content remains safe, compliant, and high quality. We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape … explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators. What You Will Do Define & drive machine learning strategy for safety, policy enforcement, and compliance systems Build and scale ML systems for detection, classification, and risk assessment across content Develop ...

have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Principal Machine Learning Engineer at Faculty, you will serve as a technical authority driving innovation, setting architectural direction, and steering our flagship systems. You will solve … help define company strategy while mentoring and fostering the growth of the engineering team. What you'll be doing: Steering technical direction on flagship machine learning and advanced data science projects across the organisation. Designing scalable, complex systems that integrate smoothly with existing software and enterprise architectures. Defining ...

power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges … future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.Job Summary**JD.com is seeking an innovative AI Agent Engineer to design, develop, and deploy intelligent agents that enhance our e-commerce and logistics platforms. This role involves leveraging cutting-edge AI techniques ...

people fulfil their hopes and realise their ambitions. We’re currently seeking an experienced professional to join our team in the role of Senior Machine Learning Engineer. As our Senior Machine Learning Engineer you’ll join the Growth AI programme within Corporate & Institutional Banking ...

Role Summary We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps ...

Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top‐tier engineers … make a tangible impact on millions of disputes. How you'll make an impact Build systems for training, deploying and monitoring machine learning models used in our Disputes platform, at scale. Build and optimise data pipelines and backend services to process dispute and payment data in real time. ...

evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You’ll Do Design, build, and ship … machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions ...

wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.We're looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you’ll do:Develop ML-products and AI Lenses … them) to keep Snap’s products at the cutting edgeEvaluate open-source Gen AI models and APIsKnowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quicklyKnowledge of mathematics and deep learning foundationsExcellent verbal ...

Barlowe LLP seeks a Machine Learning Engineer to join the ML and HPC Architecture team, based in London. This role involves working with cutting-edge technology, collaborating on various ML projects, and optimising processes to enhance performance across teams. Ideal candidates will possess a postgraduate degree … Machine Learning or related experience, along with strong programming skills in Python and familiarity with ML model building. The role does not require finance experience, encouraging diverse applicants. #J-18808-Ljbffr ...

building AI systems that connect directly to how millions of people in the UK find and buy financial products - and as a Senior Machine Learning Engineer, you will play a central role in making those systems production-ready. That means owning the engineering that takes ML models … systems. Some of the great things you'll be doing: ML Engineering and AI Systems Own the end-to-end delivery of production machine learning and AI solutions in collaboration with data scientists and product teams Design and build model pipelines for training, validation, and deployment using modern ...

experienced. Our AI-driven platform powers immersive, personalised live sportsgiving fans control, fresh 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 … modelswhile mentoring engineers and data scientists and raising the bar across teams.? Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content ...

fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the London Office of UKRD is seeking a highly skilled Machine Learning Scientist/Engineer to join our team. … Black Box Optimisation Challenge - Winners, multiple Best Paper Awards, and industry recognition. This role focuses on advancing the state-of-the-art in reinforcement learning (RL), Bayesian optimisation (BO), AI agents, large language models (LLMs), and vision-language models (VLMs). Whether your strength lies in fundamental algorithmic research ...

seeking a Senior Machine Learning Engineer to lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines. In this role, you will transition state-of-the-art Small Language Models (SLMs) and knowledge graph pipelines into air-gapped, degraded, and bandwidth-constrained ...

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 ...

About this role White Collar Factory (95009), United Kingdom, London — Staff Software Engineer (Machine Learning). 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 ...

Passionfruit launches PIPAI Learn More Passionfruit careers Machine Learning Engineer Hybrid Full-Time About Passionfruit We’re building AI-native operations for marketing teams - automating the work that slows them down, from campaign briefs and performance reporting to creative review, compliance workflows, and paid media analysis. … purpose-built for marketing, trained on real marketing workflows and deeply integrated with ad platforms, CRMs, brand assets, and analytics tools. As an ML Engineer, you’ll design, build, and ship production ML systems that power our core product and agent ecosystem - from real-time chat and workflow automation ...