Staff Software Engineer - Machine Learning
Staff-level ML engineer at Capital One UK (London, hybrid — three days onsite) who owns ML/AI technical strategy across teams, drives MLOps standards, and consults on AI use cases. Core tech: Python, PyTorch/TensorFlow, AWS/Azure/GCP, and Gen AI tooling such as LangChain, LangGraph, and RAG.
- Compensation
- £62K–£102K / yr
- Location
- Somers Town, North West London
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Deep expertise in Python and ML engineering
- Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures
- Strong track record of leading ML/AI technical initiatives across multiple teams
- Experience with cloud platforms such as AWS, Azure, and GCP
- Experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn
- Experience with Gen AI and agentic frameworks such as LangGraph, LangChain, VectorDBs, and RAG
- Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management
- Experience designing and scaling low-latency, customer-facing ML/AI architectures
- Proven experience setting multi-team ML/AI technical vision and strategy
- Strong technical leadership and influence without authority
- Experience driving ML engineering standards and best practices across organisations
- Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems
- Experience leveraging enterprise platforms to deliver business use cases at scale
- Experience steering Communities of Practice or technical forums
- Strong business acumen and ability to translate ML/AI concepts for different audiences
Full description
Salary: £62,000 - 102,000 per year Requirements: We need deep expertise in Python and ML engineering. We need deep expertise in ML/AI systems design, MLOps, and cloud-native architectures. We need a strong track record of leading ML/AI technical initiatives across multiple teams. We need experience with cloud platforms such as AWS, Azure, and GCP. We need experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. We need experience with Gen AI and agentic frameworks such as La…