Senior Dev/ML Ops Engineer

Team: Autonomy Location: UK, London Employment type: FullTime

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

ABOUT THE ROLE

We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London.

WHAT YOU’LL DO

• Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement.
• Build and maintain robust CI/CD pipelines for both software and ML workflows.
• Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
• Automate deployment, orchestration, and environment management using modern DevOps tooling.
• Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
• Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
• Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
• Document infrastructure, workflows, and operational procedures clearly and thoroughly.

WHAT WE'RE LOOKING FOR

• Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.
• Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
• Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).