Machine Learning Engineer | Python | LLMs | NLP | Must have Startup Experience

Machine Learning Engineer | Python | LLMs | NLP | Must have Startup ExperienceSalary: £100,000 – £160,000 + meaningful equity Contract: Permanent Location: London (5 days onsite) Eligibility: Open to UK residents and those eligible for Skilled Worker visa sponsorship🚨 Please only apply if you have commercial experience with ALL of the following 🚨Python (ML research, prototyping, and/or production)Hands-on experience building LLM-powered workflows or automation systemsBackground in classical ML, NLP, or applied deep learningShipped ML products in a production environmentStartup or high-growth scale-up experience — ability to move fast and iterateHigh agency — comfortable working directly with customers and stakeholders🚀 Join an AI-native company that's fundamentally changing how a $200B industry operates. You'll be working on an AI platform that sits at the heart of the business — turning complex, high-stakes operational processes into intelligent, automated workflows. This is an early-stage team backed by top-tier investors, and you'll be one of the key engineers building ML systems that handle real-world impact at scale.This isn't a research role. It's a builder role. Prototypes become production fast, ownership is high, and the work directly shapes how the platform evolves.Required Background2–7 years of experience in applied Machine LearningProven track record of shipping ML products used in productionExperience at a hyperscaler, high-growth AI company, or strong early-stage startupBackground in classical ML, NLP, or LLM-powered applicationsStrong academic pedigree — particularly important if coming from a lesser-known companyAble to operate with a founding-engineer mindsetℹ️ Very Important NotesThis is a hands-on ML engineering role — not suitable for pure MLOps, data engineering, or exclusively research profilesMust be comfortable working in a high-intensity, high-ownership startup environmentSome direct customer and stakeholder interaction is requiredFull-time, 5 days onsite in London — no exceptionsMust-HavesStrong Python skills across ML research and/or production systemsExperience building LLM-powered automation workflowsClassical ML or NLP grounding — not just AI software engineeringStartup mindset — proven ability to build 0→1 and iterate quicklyHigh agency and ability to communicate directly with customers and stakeholdersStrong problem-solving and technical ownershipBonus ExperienceExperience in insurance, fintech, or operations-heavy regulated industriesPrevious founding engineer or early-stage startup experienceOpen-source contributions in ML or AI toolingExposure to agentic frameworks or workflow automation platformsWhat You'll Be DoingML Platform EngineeringBuild and deploy ML systems that power automated claims workflowsWork with operational specialists to translate complex processes into AI-driven solutionsOwn systems end-to-end from prototype through to productionQuality & IterationValidate ML outputs against real-world workflows and user feedbackImprove accuracy, speed, and reliability of deployed systemsFeed operational insight directly back into technical directionCollaborationWork closely with founders, engineers, and operational teamsEngage directly with customers to understand workflows and validate solutionsHelp shape engineering culture and technical standards from the ground upWhat They're Looking ForA technically sharp ML engineer with a scrappy, founder-like approachSomeone who's built in production — not just experimented in research environmentsA builder who thrives on autonomy, moves fast, and takes full ownershipAn engineer who can engage with customers and turn real-world insight into technical outputIf you meet the above and want to build AI that powers one of the most technically demanding industries in the world — get in touch for a fast response.