
Applied AI EngineerUp to £180,000
About the Role
ModelML's platform automates document processing, transcription, and natural-language data retrieval for enterprise customers — deployed inside some of the world's most sensitive financial environments where SOC 2, ISO 27001, and GDPR aren't aspirational. Following their $75M Series A in November 2025 — reportedly the largest fintech Series A on record — they're investing in the AI-product surface, and this is the role that drives it. You'll report directly to the founders.
You'll develop and deploy AI-powered features in production — RAG systems, multi-agent infrastructure, and evaluation frameworks — alongside the backend services and APIs they sit behind. You'll build the data pipelines that feed training, evaluation, and continuous improvement, ensure scalability, performance, and security across the stack, and mentor junior engineers as the team grows. This is an applied seat: the bar is shipping AI inside a regulated enterprise platform, not prototyping it in a notebook.
What They're Looking For
- You have 5+ years of professional software engineering experience and a track record of shipping production systems
- You've built and deployed AI applications in production environments — not just demos — with hands-on experience implementing RAG pipelines, agent orchestration, and performance monitoring
- You're fluent in LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety
- You're strong on the backend in Python (Django/FastAPI preferred) with solid relational database fundamentals
- You're comfortable with cloud infrastructure, Docker and Kubernetes, and CI/CD pipelines, and you've run background workers and Redis-backed queues at non-trivial throughput
- You're comfortable with shifting priorities and a scrappy operating cadence, and you mentor more junior engineers as you go
About ModelML
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors, bringing total funding to $90 million.
Questions about this role? Just ask Dex.
Talk to Dex to go deeper on this role, and it'll surface the others that fit you. When it's a match, you get a direct intro to the hiring manager. Ask anything before you commit: the real comp, the team, what the hiring manager actually prioritises.
- 1
Tell Dex what you want
Ten minutes on a call. Dex learns what great work looks like for you.
- 2
React to refine matches
Save, apply, or pass on roles. Dex tunes the matches to your taste over time.
- 3
Land the role
We represent you to the hiring team and handle introductions, scheduling, and offers.
Dex gets to know what you're great at and what you want next, then surfaces roles at companies like ModelML.