ML/AI Platform Engineer

📋 Description Build and run ML platform systems to train, evaluate, deploy and serve models. Develop backend services and Python libraries for ML workflows. Build low-latency tooling for model lifecycle, evaluation and LLM infra. Collaborate with internal ML engineers, scientists and product teams. Ensure reliability, observability and safety in production ML systems. Work with Go and Python across distributed systems. 🎯 Requirements Backend + ML/AI platform experience (pipelines, model serving, or LLM tooling). Designed and operated distributed systems at scale. Focus on developer experience and reducing internal friction. Proficient in Go and Python. Experience with AWS or GCP and Kubernetes. Curious about how systems behave in production (reliability, latency and safety). 🎁 Benefits Salary £85,000-£110,000 with incentive awards. Visa sponsorship and relocation support. Distributed UK remote with occasional London meetings. Flexible hours and work-life balance. £1,000 learning budget per year. Comprehensive benefits package and wellbeing support.