Senior AI Engineer

I’m working with a fast-growing WealthTech business looking for a Senior AI/ML Engineer to help build and scale AI-powered solutions within their core technology platform.

The business has developed its own technology platform, helping financial advisers simplify complex processes, automate administrative work and deliver better outcomes for their clients.

They’re now investing heavily in AI, with an exciting opportunity to build production-grade AI systems that solve real-world problems, from automating document processing to developing intelligent solutions that support complex financial decision-making.

This is a hands-on engineering role, working across LLMs, RAG, AI agents and traditional Machine Learning, with a real focus on building robust, scalable systems rather than just developing prototypes.

What they’re looking for:

Strong Python and software engineering fundamentals

Experience building and deploying AI/ML solutions into production

Hands-on experience with LLMs, RAG and AI agents

Experience developing backend services and APIs

Understanding of cloud infrastructure, Docker and Terraform

Experience with MLOps, model deployment and monitoring

Ability to take ownership of projects from initial concept through to production

Experience with GCP/Vertex AI, FinTech or regulated environments would be beneficial, but isn’t essential.

Salary: £80,000-£110,000 + Bonus (10-20%)

Location: Central London, 3 days per week (flexible)

This is a fantastic opportunity for an AI/ML Engineer with strong software engineering fundamentals who wants to work on genuinely interesting technical challenges, take ownership of production AI systems and help shape the AI capabilities of a growing business.

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Strong Python and software engineering fundamentals

Experience building and deploying AI/ML solutions into production

Hands-on experience with LLMs, RAG and AI agents

Experience developing backend services and APIs

Understanding of cloud infrastructure, Docker and Terraform

Experience with MLOps, model deployment and monitoring

Ability to take ownership of projects from initial concept through to production

Experience with GCP/Vertex AI, FinTech or regulated environments would be beneficial, but isn’t essential.

bonus

I’m working with a fast-growing WealthTech business looking for a Senior AI/ML Engineer to help build and scale AI-powered solutions within their core technology platform.

The business has developed its own technology platform, helping financial advisers simplify complex processes, automate administrative work and deliver better outcomes for their clients.

They’re now investing heavily in AI, with an exciting opportunity to build production-grade AI systems that solve real-world problems, from automating document processing to developing intelligent solutions that support complex financial decision-making.

This is a hands-on engineering role, working across LLMs, RAG, AI agents and traditional Machine Learning, with a real focus on building robust, scalable systems rather than just developing prototypes.