SC Cleared Machine Learning Engineer

SC Cleared Machine Learning Engineer

Temporary 55000 - 62000 € / year (est.) Home office (partial)
Sanderson Government & Defence

At a Glance

  • Tasks: Design and deploy scalable machine learning solutions for government projects.
  • Company: Join a leading tech team supporting high-profile government initiatives.
  • Benefits: Competitive daily rate, flexible work location, and impactful projects.
  • Other info: Collaborative environment with opportunities to enhance your ML expertise.
  • Why this job: Make a difference in government systems with cutting-edge machine learning technology.
  • 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 (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)

SC Cleared Machine Learning Engineer employer: Sanderson Government & Defence

As a leading employer in the technology sector, we offer an exciting opportunity for SC Cleared Machine Learning Engineers to contribute to impactful government projects in vibrant locations like London and Manchester. Our collaborative work culture fosters innovation and professional growth, with access to cutting-edge technologies and a commitment to employee development. Enjoy competitive rates, flexible working arrangements, and the chance to make a meaningful difference in public service through advanced machine learning solutions.

Sanderson Government & Defence

Contact Detail:

Sanderson Government & Defence Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land SC Cleared Machine Learning Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who have experience with government projects. They might know about opportunities that aren't advertised yet.

Tip Number 2

Prepare for technical interviews by brushing up on your Python skills and ML frameworks. We recommend doing some hands-on projects or coding challenges to showcase your expertise.

Tip Number 3

Don’t underestimate the power of a good portfolio. Create a GitHub repository showcasing your machine learning projects, especially those relevant to government or regulated environments.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace SC Cleared Machine Learning Engineer

Active Security Clearance (SC)
Machine Learning Engineering
Python Programming
Pandas
NumPy
Scikit-learn
TensorFlow

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python and any relevant projects you've worked on, especially those in government or regulated environments. We want to see how your skills match what we're looking for!

Showcase Your Projects:Include specific examples of machine learning projects you've completed. Describe the challenges you faced and how you overcame them. This helps us understand your hands-on experience and problem-solving skills, which are crucial for this role.

Be Clear About Your Clearance:Since this role requires active SC clearance, make sure to mention it clearly in your application. We need to know that you meet this requirement right from the start, so don’t leave it out!

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’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Sanderson Government & Defence

Know Your Tech Inside Out

Make sure you’re well-versed in the programming languages and tools mentioned in the job description, especially Python libraries like Pandas and TensorFlow. Brush up on your knowledge of cloud platforms like Azure and AWS, as you might be asked to discuss how you've used them in past projects.

Showcase Your SC Clearance

Since active SC clearance is a must-have, be prepared to discuss your experience working in regulated environments. Highlight any previous roles where you’ve successfully navigated security protocols and compliance, as this will demonstrate your suitability for the role.

Prepare for Hands-On Questions

Expect technical questions that require you to think on your feet. Practice explaining your approach to building and deploying ML models, and be ready to walk through your thought process on designing data pipelines. Real-world examples will help illustrate your expertise.

Collaborative Mindset

This role involves working closely with various teams, so be ready to discuss your experience collaborating with data scientists, analysts, and product teams. Share examples of how you’ve contributed to team projects and how you handle feedback and differing opinions.