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.
