Staff ML Engineer | Agentic AI / LLMs / NLP / Python | FinTech | London (Hybrid) | £150K + Equity
Company: FinTech Startup
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:
• Large Language Models (LLMs)
• Classical machine learning
• Rule-based systems
• 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)
£150,000 + Equity
Staff ML Engineer | Agentic AI / LLMs / NLP / Python | FinTech | London (Hybrid) | £150K + Equity