At a Glance
- Tasks: Design and deploy machine learning models for complex government projects.
- Company: Join a dynamic team supporting high-profile central government programmes.
- Benefits: Competitive daily rate, flexible hybrid working, and inclusive culture.
- Other info: Opportunity for continuous improvement and innovation in ML capabilities.
- Why this job: Make a real impact with cutting-edge ML solutions in a collaborative environment.
- Qualifications: Active SC clearance and strong Python programming skills required.
The predicted salary is between 55000 - 62000 € per year.
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
- 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
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.
SC Cleared Machine Learning Engineer employer: Sanderson Government and Defence
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact high-profile government projects. With flexible hybrid working arrangements in London or Manchester, you will benefit from a supportive environment that prioritises employee growth, continuous learning, and diversity, ensuring you thrive both personally and professionally.
Contact Detail:
Sanderson Government and Defence Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Machine Learning Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your machine learning projects or contributions to open-source. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us
We’ve got your back! Apply through our website for the best chance at landing that SC Cleared Machine Learning Engineer role. We’re here to help you every step of the way!
We think you need these skills to ace SC Cleared Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Machine Learning Engineer. Highlight your experience with Python, cloud platforms like Azure or AWS, and any relevant projects that showcase your skills in building and deploying ML models.
Showcase Your SC Clearance:Since active SC clearance is a must-have for this role, make it prominent in your application. Mention it early on so we know you meet this crucial requirement right away!
Be Specific About Your Experience:When detailing your past roles, be specific about your contributions to machine learning projects. Use examples that demonstrate your ability to work in Agile teams and your understanding of MLOps practices.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and the libraries mentioned like Pandas and TensorFlow. Be ready to discuss your past projects and how you've deployed ML models in production environments.
✨Understand the Government Context
Since this role is within a central government programme, it’s crucial to understand the specific challenges and requirements of working in regulated environments. Familiarise yourself with compliance and governance standards relevant to machine learning.
✨Showcase Your MLOps Knowledge
Be prepared to talk about your experience with MLOps practices. Discuss how you've implemented CI/CD pipelines, model monitoring, and versioning in your previous roles. This will demonstrate your ability to productionise models effectively.
✨Communicate Clearly and Confidently
Strong stakeholder communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with various teams. Confidence in your communication can set you apart from other candidates.
