Senior AI Engineer

Location: Cardiff or LondonDo you have the skills to fill this role Read the complete details below, and make your application today.Employment Type: Full timeLocation type: HybridCompensation: £80-100KAbout UsWe’re a fully funded AI startup, based in Hammersmith and soon opening our second office in Cardiff.At Planna, we build tools that help people make smarter decisions about their homes — whether that’s diagnosing a boiler issue, planning a loft conversion, or finding a trusted roofer. Our patent-pending AI technology cuts through the noise and helps homeowners figure out what really matters, whether they want to save money, live more sustainably, or boost the long-term value of their biggest asset.We also work with banks, insurers, and household brands to offer the right products to the right customers at the right time — powered by real-time insights into every home.With growing monthly users and major partnerships in the works, it’s a great time to join us and help shape what comes next.The RoleWe’re looking for aSenior AI Engineerto join our growing team at the forefront of applied AI. You’ll work on meaningful, real-world challenges with clients across the UK — using state-of-the-art LLMs, computer vision, and NLP to build innovative solutions that deliver real impact.This is a broad, high-impact role, perfect for someone who thrives in fast-paced environments, combines technical depth with strong product instincts, and enjoys turning complex problems into working products.Who You AreYou’ve got 3+ years of hands-on experience in AI/ML — with a solid mix of practical application and research depth.You’ve worked with LLMs and/or computer vision models in real-world settings, and you know what it takes to get them into production.You’re confident with AWS — from setting up infrastructure to building training pipelines and deploying models at scale.You thrive in fast-paced environments and enjoy seeing your work ship quickly.You’re proactive, solutions-focused, and comfortable working with uncertainty.You’re a strong communicator — equally at home discussing model architecture or product impact.You’re based in (or happy to travel to) either Cardiff or London 2–3 days a week.Bonus points if you also have:A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related fieldExperience with multi-modal models that combine vision and languageStrong grasp of data-centric AI practices — annotation tooling, prompt evaluation, and dataset curationFamiliarity with MLOps tools (e.g. Weights & Biases, SageMaker, MLflow)Experience working in regulated sectors like insurance, banking, or propertyWhat You’ll Be DoingThis is a hands-on, high-impact role — you’ll be building production-grade AI systems, solving complex problems, and working closely with enterprise partners. xpwpeyx No two weeks will look the same.Fine-tune and privately deploy LLMs — with a focus on Retrieval-Augmented Generation (RAG) pipelinesBuild and scale computer vision systems — from object detection to image segmentationApply NLP to real-world business problems — summarisation, entity recognition, information extraction, and moreTrain and deploy models at scale using AWS — including Lambda, EC2, S3, and SageMakerMeet with enterprise clients to explore problems, present ideas, and share resultsPrototype fast, test often, and get working solutions into the hands of usersWork cross-functionally with product and engineering teams to bring AI features to lifeHelp shape our internal AI practices — from evaluation frameworks to responsible deploymentWhat We OfferEquity optionsNew MacBookOnline learning subscriptionFlexible hybrid working (2–3 days a week in our Cardiff or London office)28 days holiday (plus your birthday off)Annual pay reviewAutonomy, ownership, and the chance to shape a growing companyA friendly, supportive work environment where work-life balance mattersHow to ApplySend us your CV and a short cover letter telling us why this role is a great fit for you.Interview ProcessYou’ll start with a coffee chat either in Cardiff or London with one of our senior team membersTechnical Deep DiveThen a follow-up call with our CEO and founderTeam Fit + Final Q&ATo apply email your CV and cover letter to