51 to 75 of 97 Remote/Hybrid Machine Learning Engineer Jobs

Machine Learning Engineer £700- 750 pd via Umbrella Initially for 6 months with long term potential Mostly remote, 1 day per month in London A leading business is expanding its team and looking to bring in several Machine Learning Engineers . You'll help design … environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience working with data manipulation and large datasets. Proven experience developing and maintaining ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply … broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent ...

Join Runware as a Senior Machine Learning Engineer and be at the forefront of developing innovative AI solutions across various media modalities including text, image, video, 3D, and audio. We're building a powerful AI media creation platform designed to revolutionize how content is generated. … Senior Machine Learning Engineer, you’ll take the lead on critical projects, guiding the end-to-end lifecycle from research and experimentation to production deployment and performance monitoring. Your work will help shape the capabilities of our platform and enhance the experiences of users who rely ...

using ML is key to user happiness in their search journey. Solving this customer problem is why we’re actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills … codebase with an agent helping you.What are the responsibilities of the role Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platformRun online AB tests and analyse them ...

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 ...

Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from real … world problems.Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different ...

Machine Learning Engineer £700- 750 pd via Umbrella Initially for 6 months with long term potential Mostly remote, 1 day per month in London A leading business is expanding its team and looking to bring in several Machine Learning Engineers click apply for full ...

Machine Learning Engineer (All Levels) Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Greg Daly Compensation: £50,000 - £95,000/year Description We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. … useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across traditional ML, deep learning, data engineering, foundation models and LLM/agentic systems. We are now hiring across a broad range of ML skills, including model training, evaluation, optimisation ...

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 ...

andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets … architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization ...

working with a deep‐tech startup specialising in machine learning, building next‐generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk - giving chip design teams a step‐change in capability. This is a high‐impact opportunity … Machine Learning Engineer looking to make a difference in silicon. What they’re looking for: First degree in relevant STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex ...

offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.As an ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand-new, ML-driven dispute … pragmatic approach to converting big problems into smaller iterations to constantly deliver value.How you’ll make an impactBuild systems for training, deploying and monitoring machine learning models used in our Disputes platform, at scaleBuild and optimize data pipelines and backend services to process dispute and payment data ...

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 … world model that is faithful enough, and fast enough, to train and evaluate driving models in closed loop — not only to replay logs.As a Machine Learning Engineer in the Simulation team, you’ll play a key role in developing next-generation world models and planners that ...

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 … model that is faithful enough, and fast enough, to train and evaluate driving models in closed loop — not only to replay logs. As a Machine Learning Engineer in the Simulation team, you’ll play a key role in developing next-generation world models and planners that ...

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 ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth click apply ...

solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. About the roleIn this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging ...

Staff Machine Learning Engineer — AI-native productivity, stealth Fully remote, UK-based candidates preferred. TL;DR Founding-team Staff MLE at a well-funded stealth AI company Product: AI-native productivity — starting with email, expanding into notes, tasks, calendar Own the full model lifecycle: data, training, evaluation ...

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 ...

andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets … architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization ...

andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets … architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization ...

andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets … architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization ...

andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets … architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization ...