onsite
Staff Software Engineer - Machine Learning - Capital One UK
ML Engineer
Lead cross‑team ML initiatives, designing and deploying cloud‑native AI systems on AWS, Azure, and GCP using Python, PyTorch, and TensorFlow. Drive MLOps pipelines, Gen‑AI solutions, and agentic frameworks to deliver scalable, high‑impact products.
About the role
Key Responsibilities
- Architect and implement end‑to‑end ML/AI solutions across multiple product teams.
- Design and maintain MLOps pipelines, ensuring reproducibility, scalability, and compliance.
- Lead the adoption of cloud‑native architectures on AWS, Azure, and GCP for ML workloads.
- Collaborate with data scientists to translate research into production‑ready models using PyTorch, TensorFlow, and scikit‑learn.
- Drive innovation in Gen‑AI and agentic frameworks, evaluating new technologies and frameworks.
- Mentor junior engineers and foster a culture of continuous learning and best practices.
Requirements
- Extensive experience in Python and ML engineering.
- Proven track record of leading large‑scale ML/AI initiatives.
- Deep knowledge of MLOps, model deployment, and monitoring.
- Hands‑on experience with AWS, Azure, and GCP cloud services.
- Strong background in PyTorch, TensorFlow, and scikit‑learn.
Skills
pythonmachine learningmlopsawspytorch