26 to 36 of 36 Remote/Hybrid Machine Learning Engineer Jobs

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 ...

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 ...

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 sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video … while 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 ...

# Machine Learning EngineerLondonApply for this job* Permanent* Experienced Professionals* Data & AI* ID 527279-en\_GB## **About the Job you are considering:**We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation … frameworks.* Hands-on experience with:* LangChain/LangGraph* Semantic Kernel* OpenAI APIs/Azure OpenAI* Hugging Face* Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus)* Machine Learning fundamentals.* NLP concepts and transformer architectures.* Model evaluation and observability.* Data preprocessing and feature engineering.## **We are a Disability Confident Employer:**Capgemini ...

White Collar Factory (95009), United Kingdom, London, LondonStaff 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 ...

field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience. Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods) Experience in applying machine learning algorithms to solve real-world problems. Experience with software development concepts like CI/… desire to create engaging player experiences and drive business results. Bonus points if you also have Experience with more complex ML techniques (e.g. Reinforcement Learning). Experience with A/B testing methodologies in an online gaming context. Experience working in the games industry. Working at Tripledot 25 days ...

other, about UiPath, and about our larger purpose. Could that be you? Your mission: Build the Engine, Not Just the Car We're the Machine Learning Services (MLS) team at UiPath—a small, sharp group of senior engineers building the core platform that powers UiPath's large‐scale … products. Our world is one of distributed systems, high‐throughput model serving, and complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume ...

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. … pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code ...

Senior ML Engineer Recommender Systems, Developer Advocacy | UK | Remote Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud … investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. The Opportunity Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision ...