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Senior Dev/ML Ops Engineer

Humanoid, UK, London

Posted pay

Pay not posted

Location: UK, London
Work type: Onsite
Level: Senior
Skills in the job text: Python
AWS
Kubernetes
GCP
Azure
Docker
Terraform
PyTorch
Helm
TensorFlow
Posted: Apr 16, 2026
Last check: 6 h ago
Job type: ML / AI engineering

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Humanoid

About Humanoid: funding, hiring and pay

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The role

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

What you will 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 you need

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.

Pay and benefits

Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
Equity included–we believe builders should share in what they build.
Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
Free daily breakfast, catered lunch, and snacks in‑office.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
Freedom to influence the product and own key initiatives.

About Humanoid

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 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

Read the job posting on the Humanoid site

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Source: the Humanoid Ashby job board. We last checked this job 6 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

H

Humanoid

Open tech jobs: 48
With posted pay: 29%
Median posted base: $170K–$233K

About Humanoid: funding, hiring and pay