Job Title

Salary: £75,000 – £85,000 + 15% bonusLocation: Hybrid – Manchester or London (2 days per week in the office)Join a mission-driven team building systems that process and verify complex open-source intelligence. You’ll work on production-grade ML and LLM pipelines operating on challenging datasets, delivering reliable, scalable, and observable solutions.What you’ll doDeploy ML and LLM models into AWS production environments (SageMaker, Bedrock, Lambda, ECS, API Gateway)Design and maintain scalable data pipelines for training, validation, deployment, and monitoringEnsure data quality and reliability across multiple sources, including structured, NoSQL, and graph datasetsBuild high-performance APIs to expose model outputs (FastAPI preferred)Implement CI/CD processes for ML pipelines, including automated testing, deployment, and monitoringCollaborate with data scientists, analysts, and platform engineers to operationalise modelsContribute to architecture, tooling, and best practices for production ML workflowsMust-haveSenior experience deploying ML or LLM models in productionStrong Python engineering skills (FastAPI or similar frameworks)AWS experience: SageMaker, Lambda, ECS, or serverless pipelinesComfortable working with complex datasets and robust data pipelinesCI/CD, monitoring, and observability for ML pipelinesStrong problem-solving, communication, and collaboration skillsNice-to-haveRAG / LLM pipelines experienceTerraform, serverless architecturesCloud data stores (DynamoDB, OpenSearch, BigTable) or graph databasesBenefitsLife cover, enhanced pension plan, private medical insurance (Bupa)Enhanced maternity/paternity leave, annual leave + wellbeing leaveLearning & volunteering programmesHybrid working flexibilityApplicants must have the right to work in the UK. Sponsorship is not available at this time.