At a Glance
- Tasks: Design and develop cutting-edge machine learning solutions for defence applications.
- Company: Specialist technology consultancy focused on high-impact engineering in secure environments.
- Benefits: Competitive salary, hybrid working, and exposure to advanced AI technologies.
- Other info: Flexible working locations across Newcastle, Manchester, Bristol, and London.
- Why this job: Tackle real-world challenges with AI while making a difference in national security.
- Qualifications: Strong understanding of machine learning, programming skills, and problem-solving abilities.
The predicted salary is between 60000 - 90000 £ per year.
Our client is a specialist technology consultancy delivering high-impact engineering across defence and complex environments, supporting organisations operating in secure, mission-critical settings. The focus is on solving complex problems through advanced machine learning and AI capabilities within constrained and high-assurance environments.
This role offers the opportunity to work on cutting-edge machine learning and large language model (LLM) systems, contributing to impactful solutions where performance, reliability, and security are critical.
You will have the opportunity to:
- Design and develop machine learning and LLM-based solutions
- Work on advanced AI systems within secure and constrained environments
- Apply deep technical knowledge across ML, statistics, and optimisation
- Contribute to real-world AI applications in defence and high-assurance settings
- Collaborate with engineers and clients to solve complex challenges
- Take ownership of delivery within high-impact projects
Your Responsibilities:
- Develop and deploy machine learning models and LLM-based systems
- Apply knowledge of transformer architectures and LLM principles
- Optimise model performance, inference, and efficiency
- Evaluate model behaviour using established performance frameworks
- Contribute to solutions deployed in edge, constrained, or air-gapped environments
- Apply best practices in AI safety, explainability, and robustness
- Collaborate with engineering teams to integrate ML systems into production environments
Key Requirements:
- Strong understanding of machine learning fundamentals
- Solid foundation in mathematics and statistics
- Hands-on experience with LLMs and transformer architectures
- Experience with model evaluation and inference optimisation
- Strong programming experience (typically Python)
- Ability to work on complex problems within constrained environments
- Strong analytical and problem-solving capability
- Clear communication skills and ability to work in client-facing environments
- UK national, eligible for UK Security Clearance (SC)
You will gain exposure with:
- Advanced LLM and AI system development
- Deployment of ML systems in secure and resource-constrained environments
- Real-world applications of AI safety and explainability
- High-impact defence and national security programmes
- Complex engineering challenges requiring both theory and practical delivery
Why Join:
- Work on cutting-edge AI problems with real-world implications
- Operate within a high-performance, engineering-focused environment
- Gain exposure to advanced ML, LLMs, and secure systems
- Take ownership of meaningful technical delivery
- Flexible working across Newcastle, Manchester, Bristol, and London
Interested? Apply now.
Locations
Machine Learning Engineer - Defence in Cheshire, Warrington employer: ANSON MCCADE
Join a leading technology consultancy that excels in delivering high-impact engineering solutions within the defence sector. With a strong focus on advanced machine learning and AI, our company fosters a collaborative and innovative work culture, offering employees the chance to tackle complex challenges while contributing to national security. Enjoy flexible hybrid working arrangements across major UK cities, alongside ample opportunities for professional growth and development in a high-performance environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Defence in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to defence or AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Machine Learning Engineer - Defence in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with machine learning, LLMs, and any relevant projects you've worked on. We want to see how your skills align with 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 AI and defence. Share specific examples of your work that demonstrate your problem-solving skills and technical expertise. Let us know why you want to join StudySmarter!
Showcase Your Technical Skills:Don’t forget to highlight your programming experience, especially in Python, and your understanding of transformer architectures. We’re keen to see how you’ve applied these skills in real-world scenarios, so be specific!
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 Machine Learning Fundamentals
Make sure you brush up on your machine learning fundamentals before the interview. Be ready to discuss concepts like transformer architectures and LLM principles, as these are crucial for the role. Having a solid grasp of these topics will show that you're not just familiar with the buzzwords but can actually apply them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in constrained environments. Think about challenges you've faced in previous projects and how you approached them. This will demonstrate your analytical skills and ability to deliver under pressure, which is key for this position.
✨Communicate Clearly and Confidently
Since this role involves client-facing interactions, practice articulating your thoughts clearly. You might be asked to explain technical concepts to non-technical stakeholders, so being able to communicate effectively is essential. Consider doing mock interviews with friends or colleagues to refine your delivery.
✨Familiarise Yourself with AI Safety Practices
Given the focus on AI safety and explainability in this role, make sure you understand best practices in these areas. Be prepared to discuss how you would ensure robustness and reliability in your models. Showing that you prioritise safety in AI applications will set you apart from other candidates.
