Machine Learning Engineering Lead
UK-Farringdon (Lexis House), United Kingdom
GBP 81K-109K (estimate) Senior-level Full Time
Tasks
- Apply MLOps CI CD testing monitoring observability
- Apply responsible AI and governance controls
- Design and implement agentic workflows and tool orchestration
- Design build integrate deploy and operate AI ML services
- Ensure solutions align with data governance security privacy
- Escalate AI ML engineering issues
- Establish evaluation and quality controls for AI outputs
- Finalize requirements and integration needs
- Implement retrieval-augmented generation
- Implement semantic search embeddings retrieval ranking summarization classification
- Integrate AI ML with enterprise systems APIs and databases
- Mentor and train engineers in ML MLOps and responsible AI
- Resolve complex AI ML and integration technical issues
- Use AI assisted development tools for code and testing
- Write and review AI ML system specifications
Perks/Benefits
- Employee assistance programme
- Employee discounts
- Eye care vouchers
- Flexible working hours
- Health screening
- Learning and development resources
- Life assurance
- Pension scheme
- Private medical benefits
- Wellbeing programs
Skills/Tech-stack
.NET | API Development | AWS | Agentic Workflows | Asynchronous processing | Automated testing | C# | CI/CD | Classification | Code review | Distributed Systems | Docker | Embeddings | Evaluation | Event Driven | Event-driven architecture | Guardrails | Human oversight | Idempotency | Information Retrieval | Kubernetes | LLM | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Messaging | Model Governance | Monitoring | Observability | Prompt design | Python | Queues | Ranking | Responsible AI | Retrieval-Augmented Generation | Risk Management | SDLC | SQL | SQL Server | Secure Coding | Semantic Search | Summarization | System design | Terraform | Tool orchestration
Education
N/A
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