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 experience in machine learning and cloud platforms.
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 (eg 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 in London employer: Sanderson Government & 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 a flexible hybrid working model based in London or Manchester, you will have the opportunity to grow your skills in a supportive environment that prioritises diversity and inclusion, ensuring that every voice is heard and valued.
Contact Detail:
Sanderson Government & Defence Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Machine Learning Engineer in London
✨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 job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving machine learning models or data pipelines. Share it on platforms like GitHub to give potential employers a taste of your work.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and maybe even do mock interviews with friends. Confidence is key, so know your stuff and be ready to discuss your past projects!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that SC-cleared Machine Learning Engineer role. We’re excited to see what you bring to the table!
We think you need these skills to ace SC Cleared Machine Learning Engineer in London
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, 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 metrics where possible to demonstrate the impact of your work, especially in complex environments like central government.
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 & 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 experience with cloud platforms like Azure and AWS, as well as MLOps practices. The more familiar you are with these tools, the more confident you'll feel during the interview.
✨Showcase Your SC Clearance
Since active SC clearance is a must for this role, be prepared to discuss your clearance status and any relevant experiences working in regulated environments. Highlight how your background aligns with the security and compliance requirements of the role, as this will demonstrate your suitability for the position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work in Agile teams. Think of specific examples where you've designed and deployed machine learning models or built data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Communicate Clearly and Confidently
Strong stakeholder communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members. Being able to articulate your thoughts clearly will leave a positive impression on the interviewers.
