MLOps Engineer

I'm working with an innovative deep-tech company developing next-generation computing technology designed to overcome some of the biggest performance and efficiency challenges facing modern AI. They're building a new class of AI acceleration platform that enables complex workloads to run faster, more efficiently, and at significantly lower cost than traditional approaches.This is an opportunity for an MLOps Engineer to join a highly talented team to develop a breakthrough computing platform with the potential to transform large-scale AI deployment.What they're looking for: MLOps experience- building and maintaining production ML pipelines ML infrastructure expertise- experiment tracking, model management, and deployment Strong Python skills- experience with PyTorch, JAX, or similar frameworks Platform engineering- Docker, Kubernetes, Slurm, and distributed systems CI/CD knowledge- automating testing, validation, and deployments Performance optimisation- profiling and benchmarking AI workloads Infrastructure as Code- Terraform, Ansible, or similar tools Monitoring & observability- logging, metrics, and alerting systems Collaborative mindset- working across ML, hardware, and compiler teams Deep-tech experience- ideally within AI, semiconductors, or hardware startups Why consider it: Own MLOps for a pioneering AI hardware company Work on breakthrough technology at the forefront of AI compute Solve complex technical challenges on novel accelerator hardware Influence product direction with high visibility and ownership Competitive package including salary, equity, and benefitsPlease contact Chris Amison for more information.