Run and evolve our ML compute layer on Kubernetes/EKS (CPU/GPU) for multi-tenant workloads, and make workloads portable across regions (region-aware scheduling, cross-region data access, and artifact portability).
Operate Argo Workflows and Dask Gateway as reliable, self-serve services used by engineers and researchers to orchestrate data prep, training, evaluation, and large-scale batch compute (installation, upgrades, security, quotas, autoscaling).
Build GitOps -native delivery for ML jobs and platform components (GitLab CI, Helm, FluxCD ) with fast rollouts and safe rollbacks.
Design and maintain our data platform built on LakeFS to enable experiment reproducibility, data lineage tracking, and automated governance processes.
Own developer experience and enablement by creating clear APIs/CLIs and minimal UIs, maintaining comprehensive templates and documentation.
Requirements
You will have some MLOps experience as well as
You value developer experience and enjoy talking to users (engineers/scientists), removing friction, and treating the platform like a product.
Production experience with AWS and Kubernetes (EKS), including GPU workloads.
Proficiency in Python (e.g., FastAPI /Django) and solid CS fundamentals (performance, concurrency, data structures).
Experience building/operating data pipelines (idempotency, retries, backfills, reproducibility).
Working knowledge of Terraform, Helm, Docker, Git, and GitLab CI/CD.
Observability experience with Prometheus/Grafana and logs (e.g., Loki/ Promtail or Splunk/Sentry) with sensible alerting.
Good grasp of networking and security concepts and Linux systems administration.
Benefits
25 days annual leave plus + RTT + 1 day off for your birthday
Two paid volunteering days per year*
Meal Vouchers provided by Swile. 50% Covered and 50% is deducted from your payroll.
Health Insurance (Mutuelle) provided by ALAN
Disability & Life insurance (Prevoyance) provided by ALAN (3x Base Salary)
Commuter reimbursement up to €40 per month
Life enrichment allowance of up to €95 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
Our open and transparent culture is reflected in our “Better Together” motto
Expense up to £300 (or local equivalent) to purchase workstation setup equipment
The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.