Senior Dev/MLOps Engineer: AI Infra, CI/CD, Equity

Thehumanoid; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

23 days of annual leave

Fully funded private healthcare

Equity included

Pension scheme with total 8% contribution

Free daily breakfast

Catered lunch

Snacks in-office

Job summary

Thehumanoid is hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring system reliability and security, and collaborating with cross-functional teams. Candidates should have strong Python skills and experience with cloud platforms like AWS or Azure. The position also offers meaningful benefits including healthcare and a pension scheme.

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.
• 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.
• 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

DevOps

MLOps

TensorFlow

PyTorch

AWS

GCP

Azure

Docker

Kubernetes

CI/CD

Terraform

Helm

Job description

Thehumanoid is hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring system reliability and security, and collaborating with cross-functional teams. Candidates should have strong Python skills and experience with cloud platforms like AWS or Azure. The position also offers meaningful benefits including healthcare and a pension scheme.