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Fundamental

MLOps Engineer

Europe
Level
Senior
Work type
Remote · Europe

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

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About the role

About Fundamental

Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.

Fundamental's standard text

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

Key responsibilities

  • Develop and manage scalable, automated machine learning pipelines, CI/CD workflows, and orchestration frameworks
  • Design and implement robust model serving infrastructure using platforms like TorchServe, TensorFlow, Triton etc.
  • Develop scalable inference architectures optimized, with ultra-low latency and high throughput
  • Ensure seamless model deployment by implementing A/B testing, canary releases, and rollback capabilities
  • Develop logging, alerting, and monitoring solutions to track model development, and reliability
  • Improve GPU usage, enable autoscaling, and streamline resource allocation to boost efficiency
  • Design, implement, and maintain feature stores, robust data pipelines, and scalable storage solutions to efficiently handle large volumes of data

Must have

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • 5+ years of experience as MLOps engineer or DevOps roles, working with MLOps platforms (MLflow, WandB etc..) and frameworks (PyTorch, TensorFlow etc..)
  • Experience building and designing MLOps infrastructure from the ground up
  • Experience with model serving frameworks (TorchServe, TensorFlow Serving, Triton, KServe etc..) for high scalability and low latency inference
  • Experience in building and managing data pipelines to support both model training and inference
  • Experience with Kubernetes on a major cloud provider (AWS, GCP, or Azure) and with infrastructure as code (e.g. Terraform, Helm, GitOps)
  • Strong software engineering skills in Python, Bash, and Go, with a focus on writing clean, maintainable, and scalable code
  • Experience in AI/ML systems security, compliance, and model governance
  • Proficient with observability and monitoring tools, such as Prometheus, Grafana, Datadog, and OpenTelemetry

Nice to have

  • Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
  • Experience with FastAPI and Backend applications
  • Familiarity with data platforms like Databricks or Snowflake
  • Exposure to SRE practices or cloud security certifications
  • Hands-on experience with Prometheus, Grafana, or Datadog

Benefits

  • Competitive compensation with salary and equity
  • Comprehensive health coverage for you and your dependents
  • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
  • Relocation support for employees moving to join the team in one of our office locations
  • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

What this role asks for

Particular to this role

Bash · Golang · Grafana · Helm · Kubeflow · MLOps · MLflow · OpenTelemetry

Rare in Fundamental's other 18 open postings.

Standard for data science / ML roles

PyTorch

Common in data science / ML postings at any company.

In most of Fundamental's ads

Machine Learning · Python

Named in most of its open postings, whatever the role.

90% of this description is written for the role. The rest is Fundamental's standard text, folded away below.

Read against Fundamental's other open postings on this site.

The team: Engineering

This role is one of 8 open in Engineering.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (8 of 8), Machine Learning (6 of 8), Kubernetes (5 of 8), CI/CD (4 of 8), Databricks (4 of 8), FastAPI (4 of 8), Snowflake (4 of 8)

OTHER ROLES ON THIS TEAM

From the team and dates on Fundamental's own job board.

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