Junior AI/ML Engineer – Agentic Systems & Knowledge Graphs

North London (Hybrid)

£40,000–£70,000 | 2-Year Contract (Outside IR35) | Opportunity to Go Permanent

An industry-leading technology company is seeking a Junior AI/ML Engineer to support the development of cutting-edge AI systems, combining the latest advances in large language models (LLMs), agentic AI, graph neural networks (GNNs), and enterprise knowledge graphs.

This is a long-term role (initial 2-year contract, outside IR35), with a strong possibility of transitioning into a permanent position. It’s an exciting opportunity for a highly capable early-career engineer to gain hands-on experience across advanced AI technologies and contribute to real-world, production-grade systems.

What You’ll Be Working On

• Assist in the fine-tuning and evaluation of domain-specific LLMs, applying retrieval-augmented generation (RAG) and prompt engineering techniques.
• Contribute to the development of multi-agent systems using frameworks such as AutoGen, LangGraph, LangChain, or CrewAI.
• Support the integration of AI safety techniques into system design and deployment.
• Help implement real-time and batch inference pipelines with secure APIs (REST/gRPC, event-driven).
• Work on the construction and maintenance of enterprise knowledge graphs used in intelligent search and recommendation systems.
• Assist in training and deploying graph neural networks for tasks like link prediction and node classification.
• Participate in building robust MLOps pipelines for versioning, CI/CD, and automated retraining across cloud and on-premise environments.
• Collaborate with senior engineers through code reviews, design discussions, and knowledge-sharing sessions.

What We’re Looking For

• MSc or PhD from a top university in Computer Science, Machine Learning, Mathematics, or a closely related field.
• Strong foundational knowledge of machine learning and deep learning, with hands-on experience using frameworks such as PyTorch, TensorFlow, or JAX.
• Exposure to LLM fine-tuning and/or experience working with transformer-based models (e.g. GPT, LLaMA, Mistral).
• Interest in or familiarity with agentic AI frameworks and multi-agent systems.
• Some knowledge of graph databases (e.g. Neo4j, Neptune, TigerGraph) and GNN libraries (e.g. PyTorch Geometric, DGL).
• Comfortable working with Python in collaborative software engineering environments.
• Awareness of cloud tools (e.g. AWS, GCP, Azure), MLOps practices, and data pipeline technologies is a plus.

Bonus Skills

• Experience with model optimisation techniques for deployment (e.g. quantisation, pruning, distillation).
• Open-source contributions, research publications, or involvement in AI/ML competitions (e.g. Kaggle, NeurIPS, etc.).

Why This Role?

• A chance to work on state-of-the-art AI systems from day one.
• Generous contract (£40,000–£70,000) with outside IR35 status and potential to go permanent after two years.
• Exposure to impactful AI work in a highly technical, collaborative team.
• Hybrid working arrangement based in North London.

Ready to accelerate your AI/ML career on real-world, production-ready systems?

Apply now with your CV and GitHub/portfolio.