151 to 164 of 164 Machine Learning Engineer Jobs

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 ❯

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 ❯

chat, payments, risk and marketing. Deploy these models into our production environments using our in-house ML platform. Integrating LLMs where appropriate, following evaluation-driven development of applied AI. Learning not only how to deploy and build models, but how to understand data, business problems and how you know what you have built works for customers. Learning how … to manage and own ML in production with our monitoring tools for feature drift, accuracy, and performance of your APIs. Learning about our approach to data-driven development where we emit data with each feature we build so we can measure what its doing, and finding out how we analyse that data to detect problems and come up with More ❯

projects. We're a diverse team of backend engineers, data engineers, and data scientists located around the world, but we work closely together, support each other's growth and learning, and share an enthusiasm for deriving interesting and useful insights out of geospatial data. To see some examples of our work, check out some of our blog posts: Tracking … responds to quarantine Tracking retail recovery using Movement data Using Movement data to analyze airport traffic How location data becomes traffic data What You'll Do As a ML Engineer II, you will be responsible for architecting, building, and maintaining production systems for Mapbox's Traffic or Movement products and ML Engine. Your technical contributions will include: Designing and … care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage 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 ❯

Come join an exciting new project utilizing cutting edge technologies in Chantilly, Virginia. Skill-sets: Python, Databricks, LLM (Large Language Model), NLP (Natural Language Processing), model tuning, containerization (Docker/Kubernetes), model validation/testing, prompt engineering, scaling/optimization 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 ❯