SC Cleared Machine Learning Engineer

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 product ionise 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, Num Py, Scikit-learn, Tensor Flow, 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 Product ionise 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.