Machine Learning Engineering Lead
- Location
- United Kingdom
evaluation and quality controls for accuracy, groundedness, citation quality, hallucination risk, agent task success, latency, cost, reliability, and business value. Successfully implement development processes, coding best practices, code reviews, MLOps practices, and responsible AI controls. Apply AI-assisted development tools to reduce software development cycle time and support code … security controls, logging, monitoring, and production support. Strong understanding of SDLC practices, including requirements analysis, design, implementation, automated testing, code review, secure coding, deployment, and production support. Strong understanding of responsible AI practices, including evaluation, traceability, secure data handling, model governance, human oversight, and risk ...