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 benefits

Please contact Chris Amison for more information.