2 of 2 Remote Gen AI Engineer Jobs in the City of London

I’m supporting a FinTech AI Product Company who are on the hunt for an experienced Senior Software Engineer to join their FULLY REMOTE engineering team! This is a seriously tech-driven product company that puts a huge emphasis on engineering excellence , innovation , and building something that genuinely helps users . They’re solving complex problems … in the FinTech + AI space, and as a Senior Software Engineer, you’ll play a key role in shaping the product and the tech behind it. You’ll work closely with the CTO and be deeply involved in: Defining architecture and making key technical decisions Leading on project delivery and mentoring other engineers Building greenfield … real-world problems Driving quality and innovation across the engineering team What They’re Looking For: Deep experience with TypeScript , React , Python , AWS , PostgreSQL , and an interest in AI (GenAI a plus!) Bonus points for experience with other backend languages like Go , Elixir , Clojure , Ruby , C++ , Haskell , Scala , etc - Even more for code examples! Proven ability to lead More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre … seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO … MobileNet). 🔹 LLM & RAG Systems: Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant. 🔹 Deployment & MLOps: Own model deployment pipelines, including API-based serving, monitoring, and cloud infrastructure (AWS preferred, but others welcome). Bonus points for edge/ More ❯