SC Cleared Machine Learning Engineer - Contract
Rate: Up to £620 per day (Inside IR35)
Location: London or Manchester (1-2 days per week on-site)
Contract: 6 months
Clearance: Active SC required
We're hiring an experienced SC-cleared Machine Learning Engineer to support the delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems.
This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services.
Key Requirements
Active Security Clearance (SC) - must be current and transferable
Proven experience as a Machine Learning Engineer within central government or regulated environments
Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
Experience building and deploying ML models into production environments
Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse)
Experience in AWS environments is beneficial
Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning)
Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering)
Experience working with large-scale structured and unstructured datasets
Knowledge of AI ethics, bias mitigation, and model governance
Comfortable working in Agile, multidisciplinary teams
Strong stakeholder communication skills
Responsibilities
Design, build, and deploy machine learning models to solve complex business problems
Develop and maintain scalable data pipelines and feature engineering workflows
Productionise data science models and integrate them into live services and platforms
Implement MLOps best practices, including model versioning, monitoring, and CI/CD
Collaborate with data scientists, analysts, and architects to design end-to-end ML solutions
Ensure models meet security, governance, and compliance requirements
Optimise model performance, scalability, and reliability
Document models, pipelines, and processes in line with government standards
Contribute to continuous improvement and innovation across ML capabilities
Working Pattern
1-2 days per week on-site in London or Manchester
Remaining days remote, offering a flexible hybrid working model
If you're an SC-cleared Machine Learning Engineer with strong experience in cloud platforms (Azure/AWS), production ML systems, and delivering data-driven solutions in complex environments, we'd like to hear from you.
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
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