At a Glance
- Tasks: Build and manage ML/AI pipelines for impactful government projects.
- Company: Award-winning digital consultancy transforming lives across the UK.
- Benefits: Hybrid work, competitive salary, and commitment to diversity and inclusion.
- Other info: Opportunities for professional growth in a dynamic, supportive environment.
- Why this job: Join a collaborative team making a real difference in public sector technology.
- Qualifications: Strong DevOps skills with experience in ML/AI tooling and infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
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.
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. You will own the pipeline, infrastructure, and monitoring that keeps everything running in production.
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.
- 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.
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.
- 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 are 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.
MLOps Engineer employer: Scrumconnect Consulting
At Scrumconnect Consulting, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Data Engineer/Architect, you will have access to continuous professional development opportunities and the chance to work on impactful projects within the public sector. Our Staines location offers a vibrant community and convenient access to transport links, making it an ideal place for those seeking a meaningful career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer
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We think you need these skills to ace MLOps Engineer
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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