Senior MLOps Engineer for Industrial AI & Robotics

Humanoid; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

23 days leave

Private healthcare

Equity

Pension 8%

Breakfast & lunch in-office

Collaborative culture

Job summary

Humanoid in London is seeking a Senior Dev/MLOps Engineer to join the Data & Compute Platform team. You will own the full lifecycle of ML models and core infrastructure, from development to deployment, monitoring, and continuous improvement.

You will build robust CI/CD pipelines for software and ML workflows, ensure reliability, security, and observability of production systems, and collaborate with software engineers, data scientists and product teams to scale ML-powered features in production.

Qualifications

• 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).
• Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
• Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
• Ability to design scalable, secure, and observable systems in fast-moving environments.
• Strong debugging and problem-solving skills across distributed systems.
• Excellent collaboration and communication skills, with experience working in cross-functional teams.
• Understanding of security and compliance best practices for both software and ML systems.

Responsibilities

• 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.

Skills

Python

ML frameworks

Cloud platforms

CI/CD tools

IaC tools

Data engineering

Security & compliance

Distributed systems

Cross-functional collaboration

Tools

Docker

Kubernetes

Job description

Humanoid in London is seeking a Senior Dev/MLOps Engineer to join the Data & Compute Platform team. You will own the full lifecycle of ML models and core infrastructure, from development to deployment, monitoring, and continuous improvement.

You will build robust CI/CD pipelines for software and ML workflows, ensure reliability, security, and observability of production systems, and collaborate with software engineers, data scientists and product teams to scale ML-powered features in production.