Senior MLOps Engineer

Searchability NS&D; Brentford; On-site; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Annual bonus

Job summary

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.

Responsibilities

• 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.

Skills

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

Tools

Ray

Kubeflow

NVIDIA Jetson

DeepStream

Job description

New Permanent Opportunity for a Senior MLOps Engineer in Greater London

• Must hold active clearance – SC or MoD DV
• Up to £95k DoE plus bonus
• 4 days on site in Brentford – future expensed travel to client site in Cambridge
• Strong experience across MLOps, ML infrastructure and production AI systems

Who are we?

We are recruiting a Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments.

You’ll work alongside AI researchers, software engineers and technical leadership to take cutting-edge machine learning research from R&D through to reliable, production-ready systems. The role offers the opportunity to work on challenging AI applications deployed across both large-scale cloud environments and edge platforms.

What will the Senior MLOps Engineer be doing?

You will design, build and maintain the infrastructure that powers advanced AI systems from research through to production. You’ll develop distributed training pipelines, build ML lifecycle infrastructure, optimise models for deployment and support reliable AI systems across cloud and edge environments.

Key Skills and Requirements

• Strong Python/PyTorch and ML infrastructure experience
• Experience with distributed ML training using Ray, DeepSpeed or PyTorch Lightning
• Strong MLflow, model registry and ML lifecycle experience
• Experience with TensorRT, ONNX, quantisation and model deployment
• Strong Docker, CI/CD and GitHub Actions experience
• Experience with Prometheus/Grafana monitoring and production observability
• Cloud/edge AI deployment, with NVIDIA Jetson/DeepStream highly desirable
• Knowledge of Kubernetes, Kubeflow, Metaflow and Kafka advantageous
• Computer vision, aerial/satellite/ISR experience highly beneficial

KEY SKILLS:

MLOps / MLOps Engineer / ML Infrastructure / ML Platform / AI Engineer / Machine Learning / ML / Python / PyTorch / Ray / DeepSpeed / PyTorch Lightning / MLflow / TensorRT / ONNX / Docker / Kubernetes / CI/CD / GitHub Actions / Prometheus / Grafana / Metaflow / Kafka / NVIDIA Jetson / DeepStream / Edge AI / Computer Vision / Deep Learning