Senior Dev/MLOps Engineer

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next‑gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.

About the role

We are building large‑scale compute infrastructure for training next‑generation robotics models, including transformer‑based systems like VLA. This role focuses on designing and operating multi‑GPU, cross‑cloud platforms that enable efficient, reliable, and scalable model training. You’ll work at the intersection of DevOps, MLOps, and distributed systems, helping push the limits of real‑world AI.

What You’ll Do

• Design, build, and operate scalable multi‑GPU infrastructure across cloud environments (AWS, GCP, etc.)
• Own the reliability, performance, and cost‑efficiency of model training platforms
• Develop and maintain infrastructure‑as‑code and automation for provisioning, orchestration, and lifecycle management
• Build and evolve CI/CD pipelines for both infrastructure and ML training workflows
• Optimize distributed training workloads (scheduling, resource utilization, observability)
• Ensure high standards of reliability, scalability, security, and monitoring across systems
• Collaborate with ML engineers and researchers to enable efficient experimentation and productionization
• Troubleshoot complex issues across distributed systems, networking, and GPU workloads
• Define and implement best practices in DevOps/MLOps for a fast‑scaling environment
• Document systems, architecture decisions, and operational processes
• 5+ years of experience in DevOps, MLOps, or infrastructure engineering (Senior/Staff level)
• Strong experience with Kubernetes and containerized workloads at scale
• Proven experience with Infrastructure‑as‑Code (Terraform, Helm, or similar)
• Deep familiarity with at least one major cloud provider (AWS preferred)
• Solid experience building CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD)
• Proficiency in Python for automation and tooling
• Strong understanding of distributed systems, networking, and system reliability
• Ability to operate independently and drive large infrastructure initiatives

Nice to have

• Hands‑on experience with multi‑GPU and/or distributed compute environments
• Experience with GPU scheduling/orchestration (e.g., Kubernetes schedulers – Volcano, Ray, etc.)
• Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.)
• Experience with multi‑cloud or hybrid cloud environments
• Background in performance optimization for training workloads
• Experience in robotics, simulation, or embodied AI systems

What We Offer

• Competitive equity: stock options with meaningful upside as we scale.
• 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
• Private healthcare, including virtual and in‑person care.
• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
• Free daily breakfast, catered lunch, and snacks in‑office.
• Work at the frontier – collaborate daily with world‑class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
• Real ownership – direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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