126 to 150 of 162 Machine Learning Engineer Jobs in London

better decisions and help fashion partners find better audiences as the category-leading destination for every fashion shopper. Role We're looking for a commercially minded and technically strong Machine Learning Engineer to join our Product Listings team-focused on unlocking smarter, more scalable advertising through automation and optimisation. This is a hybrid role combining deep data … business outcomes. You'll collaborate closely with marketers, data analysts and engineers, and play a key part in shaping the future of how we scale our advertising. Responsibilities Productionise Machine Learning models into robust, maintainable systems-including retraining pipelines, monitoring, and performance alerting Build and evaluate ML models that support smarter paid marketing-e.g. product-level ROAS prediction … Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to More ❯

fast-paced environment big problems ignite uswe 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 environment … Analyze offline metrics and correlate them with online performance to inform deployment readiness What youll bring to Wayve In order to set you up for success as a Senior Machine Learning Engineer Evaluation at Wayve, were looking for the following skills and experience: ~5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for … Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle the biggest challenge of our time Bespoke learning and development opportunities Relocation support with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your time Benefits such More ❯

fast-paced environment big problems ignite uswe 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 environment … Analyze offline metrics and correlate them with online performance to inform deployment readiness What youll bring to Wayve In order to set you up for success as a Senior Machine Learning Engineer Evaluation at Wayve, were looking for the following skills and experience: ~5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for … Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle the biggest challenge of our time Bespoke learning and development opportunities Relocation support with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your time Benefits such More ❯

re scaling fast. We've grown to a team of 50+ across Ireland, the UK and Spain, and we're just getting started. We're now looking for a Machine Learning Engineer to join our Data team. This role is ideal for a senior independent doer, someone who has owned the entire ML lifecycle and is ready … systems that work in the real world and move the needle on customer outcomes and business impact. What you'll be doing Own the end-to-end development of machine learning systems, from business problem formulation and algorithm design through to deployment and monitoring in production Collaborate with product managers and engineers to define KPIs, design data flows … primary ML owner and act as the primary ML owner; from data access and cleaning to modelling and integration Work autonomously while contributing to a culture of collaboration, shared learning, and continuous improvement Actively participate in peer reviews, team rituals, and cross-functional discovery, sharing insight and offering help where needed What you'll bring Background: Undergraduate Degree or More ❯

Social network you want to login/join with: Machine Learning Performance Engineer, London col-narrow-left Client: Oxford Knight Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: bff6f7efc14f Job Views: 33 Posted: 12.08.2025 col-wide Job Description: Summary: Exciting opportunity to work at a tech-centric prop … trading fund which trades a wide range of financial products, with offices across the globe. Looking for an experienced engineer with low-level systems programming and optimization expertise to join their growing ML team. Machine learning is front and centre at this firm, and your focus will be to optimize the performance of their models: both training … straightforward CUDA, but they also need a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. The successful candidate will be a smart, curious software engineer who enjoys finding solutions for complex problems. If you also have a great appetite for learning new things, this role is for you! Requirements: An understanding of modern More ❯

automation. The team is a mix of ML engineers, data scientists and product owners, who are dedicated to the next wave of innovation using GenAI. Who is a ML Engineer? In the GenAI CoE, ML Engineers drive the delivery of concepts and proven ideas into products and services that Experian can take to their customers, whether that be businesses … next generation of Experians products with GenAI and ML. Learn quickly and be able to put new GenAI concepts into practice. Spend 10% of your work time on continuous learning and sharing expertise on generative-AI technologies. You Have experience in Python. Are a self-starter with strong troubleshooting skills. It would be fantastic if you also have: Have … working with container orchestration tools such as Kubernetes, Docker Swarm, or cloud-based alternatives. Comfort working across the full development stack, especially for prototyping. Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle. Conceptual understanding of common ML approaches (e.g., LLMs, GBMs, deep learning) and typical software architectures. Detailed-oriented More ❯

Role Description We are looking for a machine learning engineer with strong data science expertise to join the team working on large language models for life and natural science problems. Work involves building agentic workflows where LLMs reason, plan and act, as well as developing pipelines to train and fine-tune models. LangGraph is our main framework … Python skills with PyTorch, HuggingFace Transformers and Datasets Proven track record fine-tuning and serving large language models in real-world settings Hands-on experience building pipelines with reinforcement-learning algorithms such as PPO and GRPO Competence with containers, automated testing and software-engineering best practice Useful Skills Basic experience with GCP and infrastructure-as-code workflows Hands-on More ❯

About the roleWe're looking for an experienced machine learning engineer to join us as the newest member of the Data Science Infrastructure team. The team is responsible for designing, developing, and maintaining the critical high-performance services that support our underwriting capabilities across the entire business. In addition we work closely with both the rest of More ❯

of the things on our roadmap you'll work on include: Optimising efficiency and robustness of Polaron's existing algorithms for material characterisation, exploration and optimisation; Adapting cutting edge machine learning methods for material science applications. We're looking for exceptional people who can contribute to a fantastic company culture and help us grow Polaron, so if you … Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of the team Technologies We Use Machine Learning: Python/PyTorch CI/CD: Github, Github Actions. Frontend/Backend: TypeScript with React/Next.js and Express/Prisma. Infrastructure: Docker, Kubernetes, Terraform (AWS). More ❯

leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques … in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven … experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher More ❯

leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques … in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven … experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher More ❯

leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques … in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven … experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher More ❯

working toward one bold goal: a world with zero accidents and enhanced well-being for all. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques … in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven … experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher More ❯

will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview: As ML Engineer, RegBrain, your mission is to: Participate in the continuous improvement of RegBrains products. Develop advanced NLP and AI-based products that will delight users. Provide excellence in cloud-based … ML engineering, with as much focus on Operations as Development. Expand of the Teams knowledge via demonstration and documentation. Key Responsibilities: As a machine learning engineer, your main responsibility is to conduct the development andproductionisationof ML and NLP-based features for CUBEs products - a SaaS Platform (RegPlatform) and an API (RegConnect). Develop optimal ML & NLP solutions … Extensive experience with ML & DLplatforms,frameworks, and libraries. Extensive experience with end-to-endmodel design and deploymentwithin cloud environments. Asystems thinking approach, with passion for MLOps best practises. An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures,data modelling, and software architecture, especially cloud-based. An More ❯

will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview: As ML Engineer, RegBrain, your mission is to: Participate in the continuous improvement of RegBrain's products. Develop advanced NLP and AI-based products that will delight users. Provide excellence in cloud … based ML engineering, with as much focus on Operations as Development. Expand of the Team's knowledge via demonstration and documentation. Key Responsibilities: As a machine learning engineer, your main responsibility is to conduct the development andproductionisationof ML and NLP-based features for CUBE's products - a SaaS Platform (RegPlatform) and an API (RegConnect). Develop optimal … Extensive experience with ML & DLplatforms,frameworks, and libraries. Extensive experience with end-to-endmodel design and deploymentwithin cloud environments. Asystems thinking approach, with passion for MLOps best practises. An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures,data modelling, and software architecture, especially cloud-based. An More ❯

Description DigitalGenius (DG) is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest E-Commerce customer service operations in the world as well as high-growth companies. Were a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role … The continuous improvement of our products and the range of innovation projects we are committed to, require us to scale our Machine Learning team. We are searching for an MLOps Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. … As an MLOps Engineer, you will be responsible for designing, deploying, and maintaining scalable infrastructure and processes that support our AI systems in production. Your time will be divided between improving our ML infrastructure, building deployment and monitoring systems, and working closely with our ML engineers and product teams. This is an excellent opportunity for those with strong Engineering More ❯

Our engineering team operates with a start-up mindset, empowered to shape the future of banking through scalable, reliable, and innovative solutions. If you're passionate about operationalizing advanced machine learningincluding large language models (LLMs) and generative AIthis is the place for you. As a Mid-Level ML Engineer within the International Consumer Bank at JPMorgan Chase, you … ll work alongside ML scientists, Data Engineers and software engineers to build, deploy, and maintain sophisticated machine learning solutions in production. You'll play a hands-on role in implementing ML pipelines, deploying models (including LLMs), and developing the supporting infrastructure that keeps our AI-driven products robust and scalable. Job Responsibilities: Build, automate, and maintain ML pipelines … observability, and governance of LLMs and generative AI systems. Experience with data engineering or analytics platforms. Understanding of AI safety, security, and compliance best practices in production. Enthusiasm for learning and adopting the latest MLOps and AI technologies. #ICB #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world More ❯

game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes and fans at the perfect moment. We build new experiences … and power automation across Hudl, using cutting-edge computer vision and deep learning technologies, deployed both in the cloud and on our Focus cameras at the edge. As a Staff Engineer, you'll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities … deployment and monitoring. You also have extensive experience in several of the following areas: GPU acceleration; inference at scale on both edge devices and cloud; real-time systems; active-learning; and MLOps. Communication skills. You can easily and clearly express yourself verbally and in a written format. You're able to convey complex technical concepts and trade-offs to More ❯

development lifecycle. Collaborate with key partners and contribute expertise to develop unique solutions to complex issues. Have good infrastructure knowledge (AWS, Kubernetes). Experience with Data (BI, Reporting, Analytics, Machine Learning) is a plus. What Were Looking For 2 to 3 years for Bachelor's or equivalent/for Master's Development background, infrastructure (AWS) knowledge, Data awareness … modeling, schema design, data access patterns (API, streaming, data lake), and AWS Familiarity with cloud technologies and building data products supporting batch and real-time DS, ML, and Deep Learning applications. Ability to design and communicate architecture for data products. Understanding of testing and monitoring tools and technologies. Guide others in designing testable and observable software. Contribute to product More ❯

members, we have the potential and the opportunity to change the way organisations operate. As we continue to grow, we're looking for a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions. In this pivotal role, you … successfully designing, building and deploying ML models into production environments at scale. Expertise in Python and relevant ML libraries. Strong experience with various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform (GCP More ❯

in simulation across 13+ U.S. states. The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the More ❯

Staff Machine Learning Platform/Ops Engineer At Preply, were all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and its creating real impact. So far, 90,000 tutors … lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. About the role Were hiring a Staff ML & Data Engineer to own and evolve Preplys ML platform. You will design the systems that enable our ML teams to move from research to production seamlessly at scale, across clouds, and … LLM frameworks (LangChain, LlamaIndex), vector stores, and retrieval infrastructure Why youll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons onPreply.com , Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity More ❯

We are looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little More ❯

Founding Engineer | London | AI x Real-World Impact An early-stage (but well-funded) AI startup is on a mission to accelerate real-world innovation — think aerospace, energy, healthcare. Backed by investors from Spotify, Reddit, Flexport, Coinbase etc., they’ve just closed a 10x oversubscribed $4.5M seed round . Now hiring a Founding Engineer : someone who ships fast More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep … be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯