Senior MLOps Engineer - Scale AI with Equity

Fundamental; United Kingdom; Presencial; GBP 90.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation with salary &

Equity in a fast-growing AI startup

Comprehensive health coverage

Relocation support for office moves

Paid parental leave

Descripción de la vacante

Fundamental is an AI research lab pioneering enterprise decision-making. You will develop scalable ML pipelines, CI/CD workflows, and robust model serving infrastructure to support ultra-low latency inference at scale.

Join a mission-driven team building evidence-backed systems, leveraging TorchServe, TensorFlow, and Triton, with Kubernetes, IaC, and observability tooling to optimize performance and reliability across large data volumes.

Formación

• Degree in CS/Engineering or equivalent practical experience.
• 5+ years as MLOps engineer or DevOps with ML platforms.
• Experience building MLOps infrastructure from ground up.
• Experience with model serving frameworks for high scalability and low latency inference.
• Experience building data pipelines for training and inference.
• Kubernetes on a major cloud provider with IaC (Terraform/Helm/GitOps).
• Strong Python, Bash, Go software engineering.
• AI/ML systems security, compliance, governance.
• Proficient with observability tools (Prometheus, Grafana, Datadog, OpenTelemetry).

Responsabilidades

• 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

Conocimientos

MLOps engineering

CI/CD pipelines

Model serving

Kubernetes

Python

Cloud platforms (AWS/GCP/Azure)

Data pipelines

Observability tools

Security/compliance

Educación

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Herramientas

MLflow

WandB

TorchServe

TensorFlow Serving

Triton

KServe

Terraform

Helm

GitOps

Prometheus

Descripción del empleo

Fundamental is an AI research lab pioneering enterprise decision-making. You will develop scalable ML pipelines, CI/CD workflows, and robust model serving infrastructure to support ultra-low latency inference at scale.

Join a mission-driven team building evidence-backed systems, leveraging TorchServe, TensorFlow, and Triton, with Kubernetes, IaC, and observability tooling to optimize performance and reliability across large data volumes.