Applied AI Engineer | Careers | Marrow | Marrow
About this role
London Full-time £75k - £100k Meaningful equity Apply for this role Team Engineering Location London Type Full-time Working pattern Hybrid - we're flexible, but do think we do our best work, quickest, together Salary £75k - £100k Equity Meaningful equity About this role This is Marrow's technical face to the market. You'll take what the platform team builds and make it work in the real world - integrating with carrier systems, configuring and deploying product journeys, and feeding everything back to the core team. Half the job is deeply technical. Half is sitting across from an insurer's CTO or product team and being taken seriously. You need to be credible on both sides of that table - and you need to find that combination genuinely energising, not exhausting. Anthropic calls this an 'applied AI engineer'. We think of it as the person who closes the gap between what the platform can do and what an insurer actually needs. It's one of the highest-leverage roles in the company. You'll play a key role in Configuring and deploying product journeys on the Marrow platform for each carrier or MGA partner Building and maintaining integrations with policy admin systems, quoting engines, and data feeds Data mapping and schema translation between Marrow's model and each insurer's existing architecture Spotting patterns across deployments and turning them into platform improvements Technical scoping for new insurer partnerships - defining what's possible and what it'll take Helping define what a genuinely good AI insurance journey looks like in production You should apply if You have an insurance, insurtech, or closely adjacent background - you understand how carriers, MGAs, and intermediaries actually think and work You're already fluent with agentic tooling - Claude Code, LangGraph, or equivalent; not necessarily building pipelines from scratch, but you hit the ground running You're hands-on with APIs, data mapping, and integration work - this isn't a consultancy role You're as comfortable in a carrier meeting as you are in a terminal - in the same afternoon You get frustrated when the platform limits what you can do for a customer, and you do something about it Not ticking every box? That's fine. If you're genuinely excited by the problem and have most of what we're describing, we'd rather hear from you than not. What's in it for you Founding team status with meaningful equity Direct, senior-level exposure to UK carriers and MGAs from day one Real autonomy over how you approach each deployment - no one micromanaging the method The interview process Three stages, kept short: 01 30-minute intro call with Tim (CEO) to talk about the role and your background 02 Technical walkthrough with Adam (CTO) - we'll work through a real integration scenario together 03 Informal session with the broader team We'll move as fast as you need us to. Sound like you? Applications are handled on Wellfound. We reply to everyone, usually within a few days.
What this role is, and what else it is called
Employers in London advertise this kind of work as Data Analyst, Senior Data Engineer, Data Engineer and Data Scientist too, so it is worth searching more than one wording. It is a mid-level Data, AI & Machine Learning role in London, advertised as hybrid, splitting time between home and the office.
About hiring at Trymalcolm
Trymalcolm has 3 other live technology roles on its careers page, across DevOps, Platform & SRE and Data, AI & Machine Learning. Of those, 50% are advertised as fully remote and 50% as hybrid. See all Trymalcolm roles, salaries and stack.
How this role compares to the market
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Detected on Trymalcolm's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in London.