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Senior MLOps Engineer

About the position

We’re looking for an experienced MLOps Engineer to build and operate the platform and tooling that powers our identity-verification products. You’ll join a team supporting Applied Scientists and Machine Learning Engineers across countries. Our mission is to accelerate the path from ML research to production by building intuitive platform abstractions that let engineers focus on model innovation rather than infrastructure complexity.

What you will do

• 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.

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.

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Nice to have

• Experience with distributed compute frameworks such as Dask, Spark, or Ray.

• Familiarity with NVIDIA Triton or other inference servers.

• FinOps best practices and cost attribution for multi-tenant ML infrastructure.

• Exposure to multi-region designs (dataset replication strategies, compute placement, and latency optimization).

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Tech stack & environment

• Container Orchestration: Kubernetes (EKS)

• Compute: Argo Workflows for orchestration and Dask for Distributed Computing

• ML Experiment Tracking: Weights & Biases

• Data (Lakehouse & Versioning): Apache Iceberg + AWS Athena, LakeFS, Snowflake

• CI/CD & GitOps: GitLab CI, Helm, FluxCD

• Infrastructure as Code: Terraform

• Observability: Prometheus/Grafana, Loki/Promtail, Datadog, Sentry

• Languages & Libraries: Python (Django, FastAPI, Pydantic, boto3)

• AWS Services: S3, EC2, RDS/PostgreSQL, ECR, IAM, Lambda, Step Functions

Locations:

• Paris, France - Hybrid or Remote

• London, UK - Hybrid

Benefits France

• 25 days annual leave plus + RTT + 1 day off for your birthday

• Two paid volunteering days per year*

• Meal Vouchers provided by Swile. Onfido covers 50% 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 and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events

• 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

Benefits UK

• 25 days annual leave plus a day off for your Birthday.

• Two paid volunteering days per year.*

• Bupa Private Medical and Dental Insurance*

• Pension with The People’s Pension (employer contribution 4% of base salary)*

• Generous paid parental leave

• Life enrichment allowance of up to £80 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 and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events

• 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​