76 to 89 of 89 Remote Machine Learning Engineer Jobs

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 ❯

outcomes, and better value for healthcare payers. As a Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You will work alongside researchers and engineering teams to ensure that the processes are practicable and integrate well into existing structures. You must be able to … related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine learning, neural networks, and other computer vision topics Hands-on experience with Python and PyTorch 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 ❯

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 ❯

Machine Learning Operations Engineer Department: Vicon Markerless Employment Type: Permanent - Full Time Location: Botley, Oxfordshire Reporting To: Timothy Smith Description Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award-winning company, and the world's largest supplier of precision motion capture and tracking systems? Vicon … and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science. Vicon is a subsidiary of Oxford Metrics Plc. We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … balance among all these constrains? As a member of the CTML Content and Algorithm team, the candidate will play a key role within the Center of Excellence for Machine Learning. They will actively contribute to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us … in computer architecture, basic knowledge of HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization techniques targeted for 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 ❯

chance to make a significant contribution to projects that push the boundaries of what's possible in computer vision - while enjoying a highly competitive package. As a Computer Vision Engineer, you will play a central role in developing and deploying systems that achieve state-of-the-art accuracy in detection, segmentation, and tracking. You will be working in an … environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to … science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and 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 ❯

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. Youll architect and implement the pipelines and More ❯