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For Companies At a Glance
- Tasks: Join a team developing cutting-edge defence technologies and collaborate with industry experts.
- Company: A dynamic organisation in the Defence Sector, based in Cambridge, focused on innovation.
- Benefits: Enjoy competitive salary, bonuses, health insurance, free meals, and ongoing training.
- Why this job: Work on exciting projects that impact national security and tackle real-world challenges.
- Qualifications: Degree in Machine Learning or AI; experience in relevant projects preferred.
- Other info: Opportunity for career growth without bureaucratic obstacles.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Machine Learning Engineer – Defence Sector – Cambridge
A growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence technologies.
This is an expanding organisation offering intriguing career development opportunities based on success. You will work on a variety of projects, ranging from small individual initiatives to large ongoing projects, where you will collaborate with mechanical engineers, electronics engineers, inventors, scientists, and other industry experts.
Given that you will be working on cutting-edge technologies with potential applications in corporate and national security measures, the ability to obtain security clearance is necessary.
Ideally, you will have experience in Machine Learning or Artificial Intelligence projects spanning several years. While experience in the defence sector would be highly advantageous, it is not a strict requirement.
What makes this organisation truly fascinating is its structure, which enables you to tackle some of the world\\\’s most intriguing problems without the bureaucratic hurdles often encountered in larger organisations.
It is expected that you hold a degree that has prepared you for a role in Machine Learning or Artificial Intelligence.
In addition to working on highly challenging and captivating projects, you will receive a competitive salary, bonuses, pension benefits, complimentary meals, health insurance, ongoing skills training, and other outstanding perks.
Responsibilities
- Design, develop, and deploy machine learning and AI solutions for defence, security, and intelligence-focused projects.
- Collaborate with multidisciplinary teams including mechanical, electronics, and systems engineers, scientists, and researchers.
- Prototype and scale algorithms, assess performance, and ensure robust, secure implementations.
- Contribute to problem framing, data collection, feature engineering, model selection, and validation.
- Participate in project life cycles from concept to deployment, with emphasis on real-world applicability and reliability.
Qualifications
- Degree in a field prepared for ML/AI work (e.g., Computer Science, Electrical Engineering, Mathematics, or related).
- Experience in machine learning or AI projects spanning several years.
- Ability to obtain security clearance for work in defence-related technologies.
- Strong collaboration skills and ability to work with cross-functional teams.
Benefits
- Competitive salary and bonuses.
- Pension benefits and health insurance.
- Complimentary meals and ongoing skills training.
- Opportunities for career development within a dynamic, mission-focused environment.
How to apply
If you seek daily challenges and the opportunity to work on projects at the forefront of the ML/AI field, apply now. For more information, please call Andrew Welsh, Director of Medical Devices Recruitment and Scientific Recruitment Specialist at Newton Colmore, on 0121 268 2240, or submit an application, and a member of our Newton Colmore team will contact you.
Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Scientific Software, Robotics, Data Science, Healthcare Communications, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance, and Field Service Engineering sectors.
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Contact Detail:
Newton Colmore Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer – Defence Sector – Cambridge
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in machine learning and artificial intelligence, especially those relevant to the defence sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the defence and AI sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn more about the challenges they face. This can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that showcase your skills in machine learning or AI. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving abilities.
✨Tip Number 4
Since security clearance is necessary for this role, be proactive in understanding the requirements and processes involved. If you have any prior experience with security protocols or clearances, make sure to mention it during your discussions.
We think you need these skills to ace Machine Learning Engineer – Defence Sector – Cambridge
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position. Familiarise yourself with the defence sector and the specific technologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in Machine Learning or Artificial Intelligence. Emphasise any projects you've worked on that relate to defence, security, or intelligence technologies, even if they were not in a formal defence setting.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the defence sector. Mention specific skills and experiences that align with the job description, and express your enthusiasm for tackling challenging problems in this field.
Highlight Security Clearance Ability: If you have experience or the ability to obtain security clearance, make sure to mention this in your application. This is a crucial aspect of the role, and demonstrating your eligibility can set you apart from other candidates.
How to prepare for a job interview at Newton Colmore Consulting Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and artificial intelligence projects in detail. Highlight specific technologies, frameworks, and algorithms you've worked with, as well as any relevant projects that demonstrate your expertise.
✨Understand the Defence Sector
Familiarise yourself with the current trends and challenges in the defence sector. Research the organisation's projects and how they apply machine learning to defence, security, and intelligence technologies. This will show your genuine interest and help you connect your skills to their needs.
✨Prepare for Security Clearance Questions
Since obtaining security clearance is necessary for this role, be ready to discuss your background and any potential issues that could affect your eligibility. Be honest and transparent about your history, as this will build trust with the interviewers.
✨Demonstrate Collaboration Skills
Given the collaborative nature of the role, be prepared to share examples of how you've successfully worked with cross-functional teams. Highlight your communication skills and ability to work alongside engineers, scientists, and other experts to achieve project goals.
