ML Engineer

Role: ML Engineer. Type: 12 months Contract.

Location:

London, UK (2 days per week).

We are looking for a high-caliber AI Engineer to join a global leader in the Insurance and Fintech space. You won't just be building chatbots; you will be designing and orchestrating Autonomous Agentic Systems that reason, plan, and execute complex workflows.

This is a unique opportunity to work at the intersection of Generative AI and robust software engineering, applying cutting-edge LLM techniques to high-stakes, real-world data.

• Agentic System Design:
  Build intelligent AI agents capable of autonomous task execution using LLMs and advanced reasoning frameworks.
• LLM Specialization:
  Implement RAG (Retrieval-Augmented Generation) pipelines and fine-tune models using PEFT/LoRA to create domain-specific insurance experts.
• Production Engineering:
  Design and maintain robust ETL/ELT pipelines and manage the lifecycle of models using Docker, Kubernetes, and CI/CD.
• Responsible AI:
  Ensure our systems are trustworthy by implementing quantifiable metrics for bias detection, explainability, and privacy.
• Performance Tuning:
  Optimize data workflows for maximum scalability and cost-efficiency.
• Insurance Domain experience is added advantage.

• AI/ML:
  Expert proficiency in Python, PyTorch/Tensor Flow, and GenAI frameworks like Lang Chain, Llama Index, or CrewAI.
• Data Architecture:
  Hands‑on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/No
  
  SQL systems.
• Infrastructure:
  Proven track record in MLOps, containerization (Docker/K8s), and cloud platforms (Azure/AWS).
• Ethical AI: A deep understanding of AI fairness, transparency, and regulatory compliance within a financial context.

• Impact:
  Your work will directly influence how millions of customers interact with insurance products.
• Innovation:
  Work with the latest LLM architectures (Llama 3.2, Qwen, etc.) in a production environment.
• Stability & Growth:
  Join a stable, globally recognized institution that is aggressively investing in its AI roadmap for 2026 and beyond.