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- Tasks: Build and deploy impactful machine learning models in secure environments.
- Company: Leading organisation in cyber, defence, and national security.
- Benefits: Up to £60,000 salary, 10% bonus, £7,000 DV allowance, and full benefits.
- Why this job: Make a real-world impact with cutting-edge AI technology.
- Qualifications: Experience in ML engineering, Python, and ML frameworks required.
- Other info: Hybrid working available with strong focus on training and career progression.
The predicted salary is between 60000 - 60000 £ per year.
A leading organisation operating within cyber, defence, and national security is seeking a Machine Learning Engineer to join a growing advanced analytics and AI capability. This is a hands-on engineering role building and deploying ML solutions in highly secure, data-rich environments, where work directly contributes to national-level outcomes.
Why this role?
This is an opportunity to work on real-world, high-impact machine learning systems where security, scale, and performance are critical.
You’ll be:
- Building and deploying machine learning models into production environments
- Working with large, complex datasets in secure infrastructures
- Supporting the development of AI-driven capabilities for mission-critical systems
- Collaborating with engineers, data scientists, and security specialists
- Contributing to the full ML lifecycle from data prep to deployment
What you’ll be doing:
- Develop and implement machine learning models and pipelines
- Work with structured and unstructured data at scale
- Deploy models into secure production environments
- Support MLOps practices including CI/CD for ML systems
- Optimise models for performance, accuracy, and reliability
- Work closely with stakeholders to translate requirements into technical solutions
What we’re looking for:
- Experience as a Machine Learning Engineer or Data Scientist with production ML exposure
- Strong understanding of ML algorithms, model development, and deployment
- Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
- Familiarity with data pipelines and cloud or on-prem environments
- Understanding of MLOps principles
- Ability to work in secure or regulated environments
Eligibility:
Must be eligible for DV Security Clearance (5+ years UK residency required)
Package:
- Up to £60,000 base salary
- 10% bonus
- £7,000 DV allowance
- Full benefits package + career development opportunities
Additional info:
- Based in Gloucester (hybrid working available)
- Work in a high-security, mission-critical environment
- Strong focus on training, development, and progression in AI/ML
Senior ML Engineer in Cheltenham employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your ML knowledge. We should be ready to discuss our past projects and how we tackled challenges, especially in secure environments.
✨Tip Number 3
Showcase our skills with a portfolio! If we have any personal projects or contributions to open-source ML frameworks, let’s make sure to highlight them during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in the role.
We think you need these skills to ace Senior ML Engineer in Cheltenham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior ML Engineer. Highlight your experience with machine learning models, especially in production environments, and don’t forget to mention any relevant projects that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background aligns with our mission in cyber and defence. Keep it concise but impactful!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to list your experience with Python and ML frameworks like TensorFlow or PyTorch. If you’ve worked with MLOps practices, make that clear too – it’s a big plus for us!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Anson McCade
✨Know Your ML Stuff
Make sure you brush up on your machine learning algorithms and frameworks like TensorFlow and PyTorch. Be ready to discuss your past projects and how you've deployed models in production environments, especially in secure settings.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. This is a hands-on role, so demonstrating your ability to optimise models for performance and reliability will really impress the interviewers.
✨Understand the Security Aspect
Since this role involves working in highly secure environments, make sure you understand the basics of security protocols and MLOps principles. Being able to discuss how you would handle sensitive data will show that you're a good fit for the organisation.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the team dynamics, ongoing projects, or the company’s approach to AI-driven capabilities. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.