Scrumconnect Limited
MLOps Engineer
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About Scrumconnect Consulting
Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens.
Overview
We're looking for an MLOps Engineer to build the operational backbone that lets models move safely and reliably from experimentation into production, at scale, across a central government department's multi-cloud, legacy-integrated environment. Where the ML Engineer trains models and the AI Engineer builds features on top of them, you own the pipeline, infrastructure, and monitoring that keeps everything running in production. You'll work inside a collaborative "Rainbow Team" alongside civil servants, translating the Architect's platform decisions into reproducible, auditable infrastructure.
Key Responsibilities
- ML/AI Pipeline Engineering
Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment. - Production Reliability
Implement monitoring, logging, alerting, and automated rollback for AI services in production, tuned for the availability and sensitivity requirements of public-sector systems. - Infrastructure-as-Code
Build reproducible, auditable infrastructure for AI workloads — compute, storage, networking — using IaC tooling appropriate to the department's multi-cloud environment. - Model Governance in Operation
Implement model registries, versioning, and lineage tracking so every production model can be traced back to its training data, code, and evaluation results — directly supporting the programme's ATRS transparency obligations. - Cost & Sustainability Optimisation
Right-size infrastructure and monitor resource usage to keep the platform's footprint down, in line with the programme's Green AI and Net Zero Commitments.
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Required Skills & Experience
- Strong DevOps background extended into ML/AI-specific tooling (model registries, feature stores, experiment tracking)
- Infrastructure-as-code and CI/CD pipeline design and build experience
- Experience with observability and monitoring for production systems at scale
- Understanding of containerisation and orchestration for ML workloads
- Comfortable working across multi-cloud, legacy-integrated environments
- Secure-by-design engineering practices appropriate to sensitive public-sector data
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Desirable Experience
- AWS / Azure / GCP infrastructure certifications
- Experience building MLOps platforms within regulated or public-sector environments
- Familiarity with model governance/traceability requirements such as ATRS
- Prior delivery within UK central government or the wider public sector
Location and Working Pattern
Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK.
How We Work
Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment.
How to Apply
Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance — please flag in your application if you already hold clearance.
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