About Us We’re a visionary startup dedicated to reshaping the boundaries of what’s possible with AI. While we may be small, our ambitions are anything but. We believe that diverse perspectives and thoughtful experimentation drive innovation, and we’re committed to creating breakthroughs by approaching problems from fresh, unconventional angles. Join us to be part of something transformative. The Role Imagine designing a scalable, secure resilient platform to serve the needs of an organisation to power the level of automation required for machine learning, whilst standing up to the complex realities of live production. As our Senior Platform Engineer, you’ll do more than just code, you’ll be part of their complete journey ensuring our value stream aligned teams are able to execute based upon your platform. We want someone who’s not just prototyped but driven to see them implemented in the real world. You’ll lead our platform's foundations, turning grand ideas into clear, efficient, and secure infrastructure on AWS. You’ll ensure that every component runs smoothly while finding ways to refine how we deploy, monitor, and scale our offerings. You’ll also keep the bigger picture in mind, bridging the gap between MLOps frameworks and modern environments. The Office We’re based in the city centre of Manchester and work collaboratively in the office 3 days a week, Tuesday to Thursday, every week, with the occasional in-person meeting on a Monday or Friday. We like collaboration, making decisions quickly, and offering a workspace environment where people can share ideas and have direct input into everything we do. Key Responsibilities Build and Maintain : Craft and sustain an AWS infrastructure that supports our AI models, from test environments to live deployment. IaC : We need high levels of automation across all feedback cycles in order to facilitate organisational learning and decision making. We have adopted CDK and Terraform primarily. Kubernetes Integration : Design and administer Kubernetes clusters, including the orchestration of micro-services and container management. DORA : Help teams to mature and measure themselves against DORA benchmarks. Collaboration : You will collaborate closely with data scientists, ML engineers, and software engineers, ensuring a consistent release process and well-defined workflows. Security and Compliance : Guard the platform by contributing to best practices and handle data securely. Continuous Improvement : Investigate ways to refine performance, reduce latency, and increase platform resilience. Design : Experience working in a business to understand available options and provide the best way forward in a changing environment. Why Join Us You’ll gain the chance to influence projects that push the boundaries of machine learning and AI, all while shaping a culture that welcomes new perspectives. We believe in nurturing talent through shared learning, open dialogue, and continuous iteration. If you’re motivated by creating a truly greenfield technology and making it happen, we’d love to hear from you.