🧠Senior Machine Learning Engineer – Generative AI
Remote (UK-based) | £competitive/flexible + Bonus & Benefits
Join a UK tech company pushing real product innovation in automation, low-code platforms, and applied Generative AI. This is a high-ownership role for someone who knows how to move fast, scale systems, and build GenAI features that make it into production.
You’ll be part of a growing AI/ML team, helping to design, deploy, and optimise real-world applications using LLMs, RAG pipelines, and embedding-based search - all while working closely with product and platform teams to turn complex ideas into customer-facing features.
🚀 What You’ll Be Working On
* Building production-ready GenAI/NLP pipelines – summarisation, classification, semantic search, etc.
* Designing and scaling RAG systems with embedding stores, reranking, and hybrid search
* Deploying LLMs using tools like vLLM, LangChain, HuggingFace, and custom APIs
* Working within a modern cloud environment (AWS), with support from platform/DevOps
* Mentoring more junior engineers and helping define ML best practices
✅ What They’re Looking For
* A strong academic background – ideally Computer Science, Maths, or Engineering from a top university
* 5+ years of hands-on ML experience, with a recent focus on LLMs, GenAI or NLP
* Solid experience with Python ML tooling (e.g. HuggingFace, LangChain, PyTorch, Transformers)
* Comfortable designing and deploying RAG architectures, vector search, and embedding models
* Experience deploying ML to production in cloud (AWS preferred), with MLOps awareness
* Bonus: Experience with model evaluation, latency tuning, cost optimisation, or quantifying performance in real-world settings
* A clear communicator who can collaborate across product and platform teams
If you're looking to apply your GenAI experience in a role where your models go live and your input shapes what gets built, this is your shot.
Apply now!