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Contract

Machine Learning Engineer

City of London
money-bag £450 - £500/day Negotiable
225076404
Posted 1 week ago

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.



What You''ll Be Doing

  • 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.


Your Technical Toolkit

  • AI/ML: Expert proficiency in Python, PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI.
  • Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL 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.


Why This Role?

  • 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.

If you would be interested please share your updated cv on yogeshwari.sen @randstaddigital .com with your availability to discuss more about this role

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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