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- Tasks: Join a team to design and implement cutting-edge machine learning models for defence applications.
- Company: Work with a leading client in the UK defence sector, enhancing national security through AI.
- Benefits: Enjoy a competitive rate of £550/day and the opportunity to work on impactful projects.
- Why this job: Contribute to national defence while collaborating with experts in a dynamic, innovative environment.
- Qualifications: Strong background in machine learning, programming skills in Python, and experience with AI libraries required.
- Other info: eDV clearance is necessary; prior defence experience is a plus.
The predicted salary is between 66000 - 88000 £ per year.
A leading client within the UK defence sector is currently seeking several experienced Machine Learning Engineers to join their advanced AI and data science division. This role offers the chance to contribute directly to the UK's national defence capability while working at the cutting edge of applied AI.
The successful candidate will be joining a multidisciplinary team focused on developing and deploying machine learning models across a variety of complex defence use cases - ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms.
Key Responsibilities:- Designing and implementing robust ML models suited to Real Time or mission-critical defence environments
- Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data
- Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration
- Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards
- Staying current with emerging AI/ML techniques and assessing their applicability to defence applications
- Strong background in machine learning, data science, or AI, with a degree in a related field
- Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch
- Demonstrated ability to build and optimise ML pipelines from prototype to deployment
- Understanding of algorithm performance in constrained or sensitive environments
- Prior experience within the defence, aerospace, or national security sectors
- Familiarity with computer vision, signal processing, or natural language processing
- Exposure to MLOps, edge computing, or synthetic data generation
- Knowledge of government or MOD procurement and technical frameworks is an advantage
Machine Learning Engineer - Outside £550p/d - eDV Cleared employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Outside £550p/d - eDV Cleared
✨Tip Number 1
Make sure to highlight your experience with machine learning models, especially in defence-related projects. Tailor your discussions to showcase how your skills can directly contribute to the UK's national defence capabilities.
✨Tip Number 2
Network with professionals in the defence sector, particularly those who work with AI and machine learning. Attend relevant conferences or meetups to connect with potential colleagues and learn more about the industry.
✨Tip Number 3
Stay updated on the latest trends and technologies in machine learning and AI, especially those applicable to defence. Being knowledgeable about emerging techniques can set you apart during discussions with hiring managers.
✨Tip Number 4
Prepare to discuss specific examples of your work with Python and libraries like TensorFlow and PyTorch. Be ready to explain how you've built and optimised ML pipelines, as this will demonstrate your hands-on experience and technical expertise.
We think you need these skills to ace Machine Learning Engineer - Outside £550p/d - eDV Cleared
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, data science, and AI. Emphasise your programming skills in Python and any relevant projects using TensorFlow or PyTorch.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job description. Mention your understanding of defence applications and how your skills align with the responsibilities outlined in the role.
Showcase Relevant Experience: In your application, include examples of past projects where you designed and implemented ML models, especially in real-time or mission-critical environments. Highlight any collaboration with multidisciplinary teams.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to emerging AI/ML techniques. This shows your commitment to staying current in the field and your ability to apply new knowledge to defence applications.
How to prepare for a job interview at iO Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've implemented ML models, especially in real-time or mission-critical environments.
✨Understand the Defence Sector
Familiarise yourself with the specific challenges and requirements of the defence sector. Research current trends in AI applications within defence to demonstrate your knowledge and interest during the interview.
✨Emphasise Collaboration
Highlight your ability to work in multidisciplinary teams. Be ready to discuss how you've collaborated with software engineers and data scientists in past projects, as teamwork is crucial for this role.
✨Prepare for Technical Questions
Expect technical questions related to algorithm performance and ML pipeline optimisation. Brush up on your understanding of these concepts and be ready to explain your thought process clearly.
