176 to 192 of 192 Machine Learning Engineer Jobs in England

more about the Chin lab achievements here: We recently secured $58 million Series A fundraising. Read more here: What we're looking for: We are looking for an ML engineer to turn prototypes into functional systems. You will build and maintain our codebase, scale training pipelines, and align model with in-house data to develop state-of-the-art … ll teach you the rest Collaborative team player with excellent communication skills Desirable skills: Domain experience in computational biology, particularly genomic language models. Publications or open-source contributions in machine learning or bioinformatics. What's in it for you? Why work at Constructive Bio? We are a small but rapidly growing team, with a vision to become the 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 ❯

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 ❯

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 … we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Staff/Principal ML Engineer within the Autonomy team, youll lead critical initiatives that push the frontier of model-based autonomous drivingboth in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration. Youll design … readiness. Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development. Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems. Collaborate cross-functionally across various teams to ensure integration and iteration velocity. Mentor senior engineers and shape the long-term technical direction across Autonomy. About you 7+ years More ❯

practices (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools (Nice to have) Experience with data pipeline tools or frameworks Personal Attributes You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in ML engineering. You care about code quality and are eager to learn about model deployment best practices … auditability, and production systems. You communicate well, ask thoughtful questions, and are excited to bridge the gap between Data Science experimentation and production-grade systems. You're interested in learning about deployment standards and the audit and reconciliation expectations that come with production ML. You're enthusiastic about contributing to automated and self-serve model deployment systems. You take … initiative, are reliable in your commitments, and value learning from experienced team members. You appreciate structure and are committed to developing high standards in both technical delivery and communication. What you will be doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. More ❯

in Python: fine-tune state-of-the-art architectures on our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments using GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team we frequently communicate ideas to More ❯

M.S., or Ph.D. in Computer Science, Robotics, or a related field 7+ 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 or end-to-end autonomous agents … time inference systems and autonomous vehicle constraints Proven leadership in driving ML projects from research to production Bonus: Prior work on end-to-end autonomous driving architectures (e.g., imitation learning, behavior cloning, world models) Experience with sensor fusion (LiDAR, camera, radar) in a learned model Company Statements Equal Opportunity Rivian is an equal opportunity employer and complies with all More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for More ❯

Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles Improve ecosystem for training infrastructure and deployment pipeline to accelerate model More ❯

ML Ops Engineer - Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics … includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you'll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head More ❯

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics … includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head More ❯

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML More ❯

As Opus 2 continues to embed AI into our platform, we need robust, scalable data systems that power intelligent workflows and support advanced model behaviours. From retrieval and context enrichment to decision-making. You'll architect and implement the pipelines More ❯

and monitoring tools Published research or deep interest in AI evaluation methodologies Interest in writing (fiction, non-fiction, essays) However, you are NOT expected to: Be a senior software engineer - we're looking for someone who can build evaluation systems, notarchitect our entire backend Have solved every evaluation problem before - this is cutting-edge work and we're figuring More ❯

and monitoring tools Published research or deep interest in AI evaluation methodologies Interest in writing (fiction, non-fiction, essays) However, you are NOT expected to: Be a senior software engineer - we're looking for someone who can build evaluation systems, notarchitect our entire backend Have solved every evaluation problem before - this is cutting-edge work and we're figuring More ❯

We power people's progress. 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 have delivered over 20 million … 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 … 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 on Preply.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 ❯