Dex
Senior Machine Learning Engineer (up to £200k)
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This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested sign up to Dex to apply.
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
The role
This company solves a genuinely hard problem: turning the messy reality of property insurance documents — PDFs, multi-tab Excel files, semi-structured underwriting documents — into clean, structured, geospatially enriched data. They build the ML and document-understanding stack that connects directly to catastrophe modelling systems. Self-funded, profitable, and growing rapidly, they're backed by a founding team with a decade of shared insurtech experience.
This isn't a research lab or a prompt-engineering shop. You'll own ML projects end-to-end, from spotting the opportunity and data collection through to production rollout and post-launch monitoring. This is a rare seat: you'll shape the ML team's tools and processes as one of its first senior hires, with real ownership over inference performance through ONNX and Triton, and the autonomy to procure new data resources when the problem needs it. The stack is deliberately mixed: LLMs where they fit, fine-tuned traditional models where they win, and homegrown transformer architectures on owned clusters where neither does the job.
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The work
Turn messy property insurance documents into clean, structured, geospatially enriched data for risk models. Solve core ML problems at the document layer: classification, multimodal extraction, table understanding on noisy spreadsheets, and custom transformer architectures. Own the full ML project lifecycle: opportunity spotting, data collection, experimentation, production rollout, and post-launch monitoring. Drive inference performance through ONNX and Triton, with autonomy to procure new data resources or annotations. Shape the tools and processes the rest of the ML team uses, influencing the team's direction as an early senior hire.
What You Bring
Deep learning is your craft. You can read a PyTorch model source file and explain it end-to-end. 2+ years of ML experience, with a clear track record of deploying models to production. You own the full lifecycle: concept, data, experimentation, rollout, and monitoring. Experience across the ML stack: LLM prompt engineering when it's the right tool, fine-tuned classical models when it's not, and training your own transformer architectures on real clusters. Production-grade Python. You ship reliable code, not just notebooks that prove a point. Applied ML to genuinely messy, real-world problems, ideally including multimodal documents, OCR, or document understanding.
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Why apply through Dex
This is a rare role at a company solving a genuinely hard problem, and it won't stay open long. Skip the cold application: sign up to Dex once, get matched to this role and others like it, and get properly briefed before you even speak to the hiring team. We cut through the noise to connect you with roles that truly fit.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/22927b1b-059b-45a0-bca6-b7e1a0a974bb
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