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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 will 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 will 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 are 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.
AWS Engineer (Python) in Cheltenham employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Engineer (Python) in Cheltenham
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your expertise in Python and ML frameworks!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML algorithms and deployment strategies. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so show them what you've got!
✨Apply Through Us!
Don't forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also puts you in touch with a supportive community that can help you land that dream job!
We think you need these skills to ace AWS Engineer (Python) in Cheltenham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AWS Engineer role. Highlight your experience with machine learning models, Python, and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills match what we're looking for!
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 makes you a great fit for our team. Don’t forget to mention your experience in secure environments!
Showcase Relevant Projects: If you've worked on any projects that involved deploying ML models or working with large datasets, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
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, as this will show your hands-on experience.
✨Understand the Security Aspect
Since this role involves working in secure environments, it’s crucial to demonstrate your understanding of security protocols and MLOps principles. Familiarise yourself with how to handle sensitive data and the importance of compliance in your projects.
✨Showcase Your Collaboration Skills
This position requires working closely with engineers, data scientists, and security specialists. Prepare examples of how you've successfully collaborated in the past, highlighting your communication skills and ability to translate technical requirements into actionable solutions.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of model optimisation and deployment processes. Practise explaining your thought process clearly and concisely, as this will help you stand out as a candidate who can articulate complex ideas effectively.