Senior Software Engineer designing and operating ML infrastructure for Plaid's AI initiatives. Collaborating with product teams to accelerate AI - powered financial experiences and ensure scalable ML systems.
About the role
- Senior MLOps Engineer building and operating the platform for identity-verification products at Entrust. Focused on bridging ML research and production environments with an emphasis on developer experience.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior ML Engineer serving as an individual contributor in generative AI at GEICO. Collaborating with teams to design, develop, and deploy AI systems that drive business value.
Senior Staff Machine Learning Engineer at GEICO, enhancing service productivity through AI technologies. Collaborating with dynamic teams to develop and deploy scalable AI workflows across Geico.
Staff AI Engineer at GEICO designing and deploying AI platforms for virtual agent workflows. Collaborating with teams to improve service for millions of customers.
Machine Learning Engineer at Tilt, developing personalisation solutions across various app surfaces. Collaborate with teams to enhance recommendation systems on a video - first shopping platform.
Senior Machine Learning Engineer architecting next - generation AI platforms for healthcare and fintech with Nitra's diverse team. Focused on data pipelines, ML infrastructure, and production - ready AI systems.
Senior Machine Learning Engineer architecting and building Nitra's data and AI platform. Driving intelligent products across healthcare and fintech industries with applied AI and platform engineering.
Machine Learning Engineer developing and implementing ML models for lending at Blue Whale Lending LLC. Collaborating with teams to enhance data insights and validate model performance.
Applied ML Engineer contributing to machine learning and perception tasks for edge - intelligent maritime systems. Collaborating with cross - functional teams to deliver real - world AI solutions.
AI/ML Engineer building data science and AI solutions for Pharma and MedTech clients on Azure. Collaborating with teams to deliver end - to - end machine learning projects.