Senior MLOps Engineer – Edge & Cloud, SC Cleared

SR2; City Of London; On-site; GBP 92,000 - 115,000; Full time

Job summary

SR2 is seeking a Senior MLOps Engineer to build the ML platform that takes research into production. You will work with AI developers and software engineers to deploy reliable ML products in cloud and on edge hardware for a long-term defence/security programme.

This hands-on role offers influence over ML platform architecture and requires active SC clearance. Expect design of pipelines, model registries, and CI/CD for scalableML workloads.

Qualifications

• We require hands-on MLOps experience taking models from R&D to production.
• Experience with distributed training frameworks and experiment tracking systems.
• Proficiency in containerised deployment and CI/CD for ML workloads.

Responsibilities

• Design and run ML training pipelines at scale across cloud and edge.
• Build a registry and data/versioning for models and experiments.
• Implement monitoring, observability and CI/CD for ML systems.
• Containerise workloads and enable multi-architecture builds.
• Lead orchestration of ML workflows and event-driven pipelines.

Skills

MLOps

Distributed training

Experiment tracking

Model registry

Docker

CI/CD

Monitoring

Edge deployment

Kubernetes

Cloud & edge

Education

MSc/PhD in Computer Science or ML

Tools

MLflow

Ray

PyTorch Lightning

ONNX

TensorRT

GStreamer

Kubernetes

Kubeflow

Job description

SR2 is seeking a Senior MLOps Engineer to build the ML platform that takes research into production. You will work with AI developers and software engineers to deploy reliable ML products in cloud and on edge hardware for a long-term defence/security programme.

This hands-on role offers influence over ML platform architecture and requires active SC clearance. Expect design of pipelines, model registries, and CI/CD for scalableML workloads.