Machine Learning Engineer

Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems?

You could be progressing your career in a hands-on technical leadership role at a SaaS FinTech; their capital market tools are used by Investment Banks and independent research providers to automate and analyse client service and research consumption, presenting a complete overview of the client relationship made available via the Cloud.

As a Machine Learning Engineer you will lead the Machine Learning activities within the Insights and Data Analytics Team from conception to deployment, creating and scaling high-impact models that solve core product challenges.

You’ll define the Machine Learning roadmap from a technical perspective, evaluating model architectures, optimising data pipelines and ensuring that ML features provide actionable insights within the product. This isn’t just about training models; it’s about building the ML infrastructure that enables the business to iterate and scale with confidence.

There’s a modern tech stack, you’ll primarily be using Python and AI within an AWS cloud environment, collaborating and providing technical leadership to a small team.

Location / WFH:

You can work from home most of the time, meeting up with colleagues in the London office twice a month for team collaboration and meetings.

• You are an experienced Machine Learning Engineer who prioritises system reliability, latency and observability as much as model accuracy
• You have strong Python skills and experience of leveraging the AWS stack to move models from development environments to robust production services
• You have strong MLOps experience
• You have experience training, deploying and supporting non-LLM models as well as supporting LLM Services in a production environment
• You’re comfortable designing high-throughput APIs, managing data and implementing solutions
• You have a strong knowledge of software engineering best practices including TDD, Pair Programming
• You’re collaborative, comfortable mentoring others, provide technical direction and communicating with senior stakeholders
• You have achieved a 2.1 or above in Computer Science or closely related discipline from a top tier university