51 to 58 of 58 Machine Learning Jobs in South Wales

image processing Explore and evaluate new computer vision approaches Validate and integrate algorithms using production data About you You have strong computer vision, machine learning and Python skills, with practical experience developing or evaluating vision models. #J-18808-Ljbffr ...

provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics ...

direction and partner with senior stakeholders to place data at the heart of decision making. You will guide experimentation, causal inference, statistical modeling and ML efforts, ensuring rigor and translating insights into product and customer impact. #J-18808-Ljbffr ...

Bring Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real‐world problems (Essential) Hands‐on skills integrating and deploying AI solutions on edge or resource‐constrained platforms … constraints. (Essential) Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) Postgraduate qualification or formal training in AI/ML, data science, human–computer interaction or related specialism. (Desirable) At Safran, we understand that diversity and inclusion make teams stronger and more effective ...

design and execute manual, automated, and performance tests, validate APIs and integrations, and embed testing into CI/CD pipelines. Leveraging AI/ML for smarter test coverage, you’ll identify issues early, drive continuous improvement, and ensure scalability and security. Collaborating with developers, DevOps, and stakeholders, you’ll play … queriesto ensure accuracy and integrity. Integrate automated tests intoCI/CD pipelines(e.g., Jenkins, GitHub Actions, Azure DevOps) for continuous quality feedback. ApplyAI/ML-driven testingfor intelligent test generation, prioritization, anomaly detection, and predictive analytics. Conduct load, stress, and scalability testing to identify and resolve performance bottlenecks. Coordinate ...

interfaces. You’ll work with teams across Borrowing and Data Platform to define what makes a Borrowing dataset “production-grade” and consumable by analytics, ML, decisioning, and regulatory teams.- Building feature stores and reusable analytical assets. Identifying cross-product signals (credit behaviour, repayment patterns, affordability, risk indicators) that should … design reusable feature layers. You’ve designed, contributed to, or have a clear vision for reusable feature layers that serve multiple consumers, including ML pipelines, dashboards, decisioning engines, and regulatory reporting. You understand the trade-offs between freshness, cost, granularity, correctness, and ease of use.- You’re comfortable ...

Starling Bank is seeking a Full Stack Engineer (ML Ops) in London. Join a fast-moving fintech that values innovation, collaboration and ownership in a hybrid working setup. You will contribute across backend and frontend layers using Java, React and AWS, helping to build scalable services and data-driven features ...

with a monthly Cardiff office visit; 5+ years in software testing and automation are preferred, with strong Jira/TestRail usage and AI/ML–driven testing interest. #J-18808-Ljbffr ...