Machine Learning Engineering Lead
GBP 81K-109K (estimate) Senior-level Full Time
Tasks
- Apply MLOps CI CD testing monitoring and observability
- Design and implement agentic workflows and tool orchestration
- Design build integrate deploy and operate production AI ML services
- Ensure AI ML solutions meet data governance security privacy and operational standards
- Escalate AI ML engineering issues
- Establish evaluation and quality controls
- Finalize AI ML requirements and integrations
- Implement RAG semantic search embeddings retrieval ranking summarisation classification and content enrichment
- Integrate AI ML with enterprise systems APIs databases and data platforms
- Mentor and train engineers on AI ML MLOps and SDLC practices
- Resolve complex production AI ML data and integration issues
- Use AI assisted development tools to improve delivery and code quality
- Use responsible AI governance and risk management controls
- Write and review AI ML specifications
Perks/Benefits
- Employee assistance programme
- Employee discounts scheme
- Employee resource groups
- Eye care vouchers
- Flexible working hours
- Health screening
- Learning and development resources
- Life assurance
- Paid leave
- Pension scheme
- Private medical benefits
- Sabbaticals
- Study assistance
- Wellbeing programs
Skills/Tech-stack
.NET | APIs | AWS | Agentic Workflows | Artificial Intelligence | Asynchronous processing | Automated testing | C Sharp | CI/CD | Classification | Cloud Computing | Code review | Content Enrichment | Data Governance | Distributed Systems | Docker | Embeddings | Evaluation | Event Driven | Event-driven architecture | Guardrails | Human oversight | Idempotency | Kubernetes | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Message Queues | Model Governance | Monitoring | Observability | Privacy | Prompt engineering | Python | Ranking | Release Management | Responsible AI | Retrieval-Augmented Generation | SDLC | SQL | SQL Server | Secure Coding | Security | Semantic Search | Summarization | System design | Terraform | Tool integration | Tool orchestration | Troubleshooting
Education
N/A
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