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: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact on national security through innovative AI and machine learning projects.
- 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.
Machine Learning Engineer - Defence in Aberdeen 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 Aberdeen
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Machine Learning Engineer - Defence in Aberdeen
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ANSON MCCADE.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ANSON MCCADE and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ANSON MCCADE
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ANSON MCCADE uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.