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!
