Staff ML Engineer | Agentic AI / LLMs / NLP / Python | FinTech | London (Hybrid) | £150K + Equity
Salary: up to 150K
Location: London
A high-growth FinTech startup is building greenfield AI products from the ground up and looking to hire a Staff ML Engineer to lead the architecture and development of next‑generation intelligent systems.
This is not a traditional modelling role. Instead of focusing on a single predictive model, you’ll be designing and scaling systems of models that can:
* Search and retrieve relevant information
* Analyse complex financial data
* Generate outputs such as reports and credit memos
* Validate, verify, and improve model outputs in production
As a Staff ML Engineer, you’ll take ownership of designing and optimising these systems by combining:
* Classical machine learning
* Workflow orchestration / agentic architectures
What you’ll be doing:
* Leading technical direction for ML and AI systems across the business
* Architecting production‑grade LLM applications, RAG pipelines, and evaluation frameworks
* Driving best practices across experimentation, deployment, and monitoring
* Partnering with engineering, product, and leadership to shape AI strategy
* Mentoring engineers and influencing technical standards across teams
What we’re looking for:
* 6+ years in Machine Learning, Applied AI, or Data Science
* Strong Python skills and experience with frameworks such as PyTorch and scikit‑learn
* Deep experience in either Classical ML, NLP, or LLM‑powered systems
* Experience building and deploying production ML systems at scale
* Strong understanding of data pipelines, model deployment, and working with messy real‑world datasets
* Background in Financial Services or highly regulated environments is a plus
London, UK (Hybrid)
#J-18808-Ljbffr