Senior MLOps Engineer – Production AI, On-Site UK, Clearance

Searchability NS&D; Brentford; Sur place; GBP 75 000 - 95 000; Plein temps

Avantages offerts par ce poste

Annual bonus

Résumé du poste

Searchability NS&D is seeking a Senior MLOps Engineer to design and maintain the infrastructure powering advanced AI systems from R&D to production. You will build distributed training pipelines and ML lifecycle platforms, ensuring reliable AI across cloud and edge deployments.

You will work with AI researchers and engineers, leveraging Python, PyTorch, Docker/Kubernetes, and observability tools to optimize models for production excellence. On-site in Brentford with future travel to Cambridge.

Qualifications

• Proven experience in MLOps, ML infrastructure and production AI systems.
• Strong Python/PyTorch background with ML lifecycle knowledge.
• Experience deploying ML models across cloud and edge environments.
• Familiarity with CI/CD, monitoring, and observability tools.

Responsabilités

• Design, build and maintain infrastructure powering AI systems from R&D to production.
• Develop distributed training pipelines and ML lifecycle platforms.
• Optimize models for deployment and ensure reliable AI across cloud/edge.

Connaissances

MLOps

Python

PyTorch

Ray

DeepSpeed

PyTorch Lightning

MLflow

TensorRT

ONNX

Docker

Kubernetes

CI/CD

GitHub Actions

Prometheus

Grafana

Metaflow

Kafka

Edge AI

Computer Vision

Deep Learning

Outils

Ray

Kubeflow

NVIDIA Jetson

DeepStream

Description du poste

Searchability NS&D is seeking a Senior MLOps Engineer to design and maintain the infrastructure powering advanced AI systems from R&D to production. You will build distributed training pipelines and ML lifecycle platforms, ensuring reliable AI across cloud and edge deployments.

You will work with AI researchers and engineers, leveraging Python, PyTorch, Docker/Kubernetes, and observability tools to optimize models for production excellence. On-site in Brentford with future travel to Cambridge.