At a Glance
- Tasks: Build and manage ML pipelines, ensuring smooth transitions from experimentation to production.
- Company: Award-winning digital consultancy making a real impact across UK government.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on sustainability and transparency.
- Why this job: Join a collaborative team and shape the future of AI in public services.
- Qualifications: Strong DevOps skills with experience in ML/AI tools and infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
Newcastle upon Tyne, United Kingdom | Posted on 17/07/2026
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 MLEngineer 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
- Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment.
- Implement monitoring, logging, alerting, and automated rollback for AI services in production, tuned for the availability and sensitivity requirements of public‑sector systems.
- Build reproducible, auditable infrastructure for AI workloads — compute, storage, networking — using Ia C tooling appropriate to the department's multi‑cloud environment.
- 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.
- 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.
- Required Skills & Experience
- Strong Dev Ops 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
- 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.
Requirements
This role requires BPSS clearance. Please flag if you already hold clearance.
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MLOps Engineer employer: Scrumconnect Limited
At Scrumconnect, we pride ourselves on being an exceptional employer, offering a dynamic work culture that champions collaboration and continuous learning. Our commitment to employee growth is evident through our investment in training and development opportunities, ensuring that our Data Engineers are equipped with the latest skills in cloud technologies and data engineering practices. With a focus on meaningful public service projects, you will have the chance to make a significant impact while enjoying the flexibility of remote work and a supportive team environment.
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We think you need these skills to ace MLOps Engineer
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