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Machine Learning Engineer

Intellect Group
City of London
1 week ago
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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!

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National AI Awards 2025

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