Machine Learning Engineer

Role : Machine Learning Engineer
Location : London, UK (Hybrid)
Salary : £50k–£65k (DOE)

Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation of financial monitoring.

We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI.

Your Responsibilities:

Contribute to a New ML-Driven Platform :
Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques.
Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python.
Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system.

Drive Deployment and ML Operations:
Collaborate with DevOps to containerise and deploy monitors with automated testing and evaluation tools.
Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production.

Focus on Scalability and Clean Code:
Write clear, well-documented, and reusable code in line with engineering best practices.
Help architect a scalable and resilient cloud-native platform (Azure)
Maintain and improve data pipelines, ensuring data quality and integrity.

Requirements :
Bachelor’s or Master’s degree in a STEM field (e.g. Computer Science, Mathematics, Engineering).
0.5–3 years of experience in machine learning engineering or research.
Strong coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure).
Experience with ML frameworks such as TensorFlow or PyTorch.
Understanding of ML lifecycles, including model training, validation, testing, and deployment.
Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus.

It’s A Bonus If You Have:
Experience working with Generative AI, multi-agent systems, or compliance/regulatory tech.
Publications or research experience in machine learning or related fields.
Interest in secure, scalable, and ethical AI systems.

The Benefits:
Join an innovation-driven team working on high-impact, future-ready tech.
Hybrid working model with a central London base.
Exposure to emerging AI tools and systems.
Competitive compensation, performance bonus, and career growth opportunities.

If you're a creative and driven Machine Learning Engineer eager to work on advanced AI systems in a dynamic environment, we’d love to hear from you. Apply now for immediate consideration!