Senior MLOps Engineer

55 Exec Search
Manchester
1 month ago
Applications closed

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Our global client is building advanced behavioural intelligence technology that enables secure, adaptive digital identity. By analysing how people naturally interact with devices, their AI systems generate powerful authentication signals designed for real‑world use at scale.


Our client is moving from R&D into live customer deployments and we’re looking for an experienced Senior MLOps Engineer to help take their behavioural AI models into production and keep them running reliably at scale. This is a hands‑on, high‑impact role at the intersection of machine learning and infrastructure. You’ll own how our models are trained, deployed, monitored, and scaled as real users start relying on them for authentication.


Responsibilities

  • 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

Qualifications

  • 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

Seniority level

Mid‑Senior level


Employment type

Full‑time


Job function

Information Technology


Industries: Software Development


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