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- Tasks: Design and implement machine learning models for defence applications.
- Company: Join a leading client in the UK defence sector focused on advanced AI.
- Benefits: Earn £550/day outside IR35 with potential remote work options.
- Why this job: Contribute to national defence while working with cutting-edge AI technology.
- Qualifications: Degree in machine learning or related field; strong Python skills required.
- Other info: Initial contract of 6-12 months; eDV clearance needed.
The predicted salary is between 39600 - 55440 £ 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
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
Network with professionals in the defence sector, especially those who work with AI and machine learning. Attend industry events or webinars to connect with potential colleagues and learn more about the specific challenges they face.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in machine learning, particularly those relevant to defence applications. This will not only enhance your knowledge but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Consider contributing to open-source projects related to machine learning or defence. This can showcase your skills and initiative, making you a more attractive candidate for the role.
✨Tip Number 4
Prepare to discuss your experience with ML pipelines and real-time systems during interviews. Be ready to provide examples of how you've tackled complex datasets and collaborated with cross-functional teams in previous roles.
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 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, which is crucial for this role.
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, and be ready to explain your thought process and the challenges you faced.
✨Understand Defence Sector Applications
Familiarise yourself with how machine learning is applied in defence contexts. Research current trends and technologies in autonomous systems and predictive analytics, as this will demonstrate your interest and understanding of the role's impact.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with software engineers and data scientists, think of examples where you've successfully collaborated on projects. Be ready to discuss how you handle differing opinions and ensure effective communication within a team.
✨Stay Current with AI/ML Trends
Keep up-to-date with the latest advancements in AI and machine learning. Be prepared to discuss recent developments and how they could be relevant to the defence sector, showcasing your proactive approach to learning and innovation.
