Machine Learning Engineer - Defence in Warrington

Machine Learning Engineer - Defence in Warrington

Warrington Full-Time 80000 - 98000 £ / year (est.) Home office (partial)
ANSON MCCADE

At a Glance

  • Tasks: Design and develop machine learning solutions for defence applications.
  • Company: Specialist technology consultancy focused on high-impact engineering.
  • Benefits: Competitive salary, hybrid working, and exposure to advanced AI systems.
  • Other info: Collaborative environment with opportunities for meaningful technical delivery.
  • Why this job: Tackle real-world AI challenges in secure environments and make a difference.
  • Qualifications: Strong understanding of machine learning, programming skills, and problem-solving abilities.

The predicted salary is between 80000 - 98000 £ per year.

A variety of soft skills and experience may be required for the following role. Please ensure you check the overview below carefully.

£60,000 - £90,000 GBP

Hybrid WORKING

Location: Manchester; Bristol; London; Newcastle, Manchester, North West - United Kingdom

Type: Permanent

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 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 opportunities for professional growth and development in a supportive environment.

ANSON MCCADE

Contact Details:

ANSON MCCADE Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer - Defence in Warrington

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ANSON MCCADE!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Engineer - Defence at ANSON MCCADE.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ANSON MCCADE.

Apply Directly through Our Website

When you find a suitable opening like Machine Learning Engineer - Defence at ANSON MCCADE, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Machine Learning Engineer - Defence in Warrington

Machine Learning
Large Language Models (LLMs)
Transformer Architectures
Model Evaluation
Inference Optimisation
Python Programming
Mathematics

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at ANSON MCCADE, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ANSON MCCADE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at ANSON MCCADE

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ANSON MCCADE!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.