Senior MLOps Engineer in Manchester

What you’ll be doing

• Turning ML models into production-ready, customer-facing services
• Creating CI/CD pipelines for models, not just code
• Designing low-latency, high-availability inference infrastructure
• Monitoring live models for drift, performance drops, and failures
• Scaling ML systems as pilot customers onboard
• Working closely with AI, data, and software engineers to ship reliably

What we’re looking for

You don’t need to tick every box, but you will have real experience running ML in production.

• 4+ years in MLOps, ML Engineering, or ML-heavy DevOps roles
• Strong Python and hands-on ML framework experience (PyTorch, TensorFlow, etc.)
• Experience deploying and serving ML models in production
• Containerisation and orchestration (Docker, Kubernetes or ECS)
• CI/CD for ML workflows

Nice to have

• Model monitoring & observability (Prometheus, Grafana, Datadog)
• A/B testing or canary deployments for ML models
• Startup or scale-up experience
• Work on real-time behavioural AI used in authentication
• High ownership, you’ll shape how ML is run across the company for clients
• Direct impact as we move into live customer deployments
• Hybrid working (Manchester-based)
• Join at a pivotal growth moment, not after everything is already decided