Senior Dev/ML Ops Engineer

📋 Description

• Own ML models and core infrastructure from development to deployment and monitoring.
• Build and maintain CI/CD pipelines for software and ML workloads.
• Ensure reliability, scalability, observability, and security of prod systems.
• Automate deployment, orchestration, and env management with DevOps tooling.
• Collaborate with software engineers, data scientists, and product teams.
• Proactively detect and resolve infra and model performance issues.

🎯 Requirements

• Proven experience in a senior-level DevOps, MLOps, or related infra-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 (GitHub Actions, GitLab CI, ArgoCD) and infra-as-code tools (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.

🎁 Benefits

• 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.