radiant - Lead ML Product Engineer

London, England, United Kingdom+ Equity3w ago

In Office Staff EMEA Insurance Artificial Intelligence ML Engineer Training Development Kubernetes Ray Hugging Face MLflow

Requirements

• Strong engineering experience, ideally in ML infrastructure, developer tooling, cloud platforms, or AI products. • Strong understanding of: • ML workloads: training, fine-tuning, inference, model serving • Infrastructure: GPUs, Kubernetes, containers, storage, networking • Developer tooling: APIs, SDKs, CLIs, notebooks • Distributed systems: scheduling, queues, retries, failures, scaling • Familiarity with technologies such as Ray, Slurm, MLflow, Hugging Face, vLLM, Triton, LangChain, or similar. • Comfortable moving quickly from an ambiguous customer problem to a working prototype or production implementation. • Strong communication skills and comfortable working directly with product teams and customers. • Builder mindset: You prefer proving ideas with working software. • Product sense: You care about usability and customer outcomes, not just technical correctness. • ML fluency: You understand how real ML workloads behave in production. • Technical breadth: You can work across application code, ML frameworks, APIs, and infrastructure. • Speed and ownership: You can take an idea from prototype through to something customers can actually use. • Set the standard: Every single day, you spot opportunities to constructively shake things up • Inspire the change: There’s no blueprint for the future. You’ll embrace challenges and change • You’re real and you’re true to yourself: We cherish and celebrate diversity so you’ll feel right at home whoever you are and whoever you’re talking to, you treat everyone the same.

Responsibilities

• Build and prototype ML platform features, workflows, SDKs, APIs, and developer tooling. • Work closely with Product to turn customer needs into working technical solutions and product experiences. • Develop reference implementations across training, fine-tuning, inference, model serving, and orchestration. • Integrate ML frameworks and tools with Radiant’s GPU, Kubernetes, storage, networking, and platform services. • Work directly with customers and internal teams to identify friction and improve developer experience and time-to-value. • Evaluate emerging ML infrastructure technologies and rapidly test their suitability for the platform. • Support product discovery with technical prototypes, benchmarks, demos, and proof-of-concepts. • Help define technical requirements, documentation, examples, and best practices for ML services. • Health & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa. • Cycle to Work Scheme: we're committed to building a sustainable business, so we encourage cycling to work. • Gympass subscription to a variety of gyms and wellbeing apps • Participation in the company shares program • Enhanced parental pay & leave

Benefits

• What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. • Here are just some of the great things you can expect from us: • 25 days of annual leave • A culture that emphasises results over hierarchy, process & ego: we place great emphasis on the quality, ingenuity and creativity of work. • Open communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together.