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!