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MLOps Engineer

Remote, Europe +3·Full-time·Added 2 months ago

Fundamental

12 open roles

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Overview

Job details

Full-time hours
Per the ad.
Fully remote
Per the ad.
A relocation package
Help with the move, per the ad.

Requirements

Have the right to work in Spain
Fundamental doesn't mention sponsorship, but this role may fit the Digital nomad visa.
Work in English
English is required, per the ad.
Have 5+ years of experience
Mid-level role.
University degree
“Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)” — per the ad.

Pay & benefits

What you'll get

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

Requirements

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

The role

What you'll do

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

About Fundamental

Fundamental is a London-based AI research and engineering company that develops advanced machine learning systems and developer tools. The company focuses on applied AI, bridging cutting-edge research with production-grade engineering to build products that serve developers and enterprises. Its team is composed of researchers, ML engineers, and software engineers working on model serving, MLOps, and applied AI challenges.

Fundamental is expanding its engineering and research presence in Spain, with a dedicated hub that hosts roles across ML research, MLOps, backend, and full-stack development. The company offers a research-driven culture with a strong emphasis on technical excellence, making it an attractive destination for international engineers and researchers looking to work on challenging AI problems while based in Spain.

Employees: 11–50
Headquarters: London, UK

Good to know if you are moving

Fundamental is headquartered in London, UK, and is expanding its engineering hub in Spain, offering international professionals the chance to work on AI research and applied engineering from Spain.
The company's open roles in Spain span ML research, MLOps, backend, and full-stack engineering, indicating a strong focus on technical and research-oriented positions.
As a smaller, research-driven company, Fundamental likely offers a collaborative environment with direct impact on product decisions, appealing to engineers seeking meaningful contributions.
The Spain office appears to be a key part of the company's growth strategy, with multiple team lead roles (e.g., MLOps Team Lead, DevOps Team Lead) suggesting opportunities for career advancement.

In their own words

About the company & team

Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.

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.

All open roles at Fundamental