Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI/ML models for cutting-edge tech like drones and robots.
- Company: Join a dynamic defence tech startup dedicated to innovative engineering and democratic values.
- Benefits: Enjoy remote work flexibility and the chance to influence AI strategy.
- Why this job: Be part of a mission-driven team tackling real-world challenges with AI solutions.
- Qualifications: MSc in relevant fields and 4+ years of ML experience required.
- Other info: Diverse backgrounds welcomed; security clearance needed.
The predicted salary is between 48000 - 84000 £ per year.
A fast-growing defence tech startup focused on AI and software for autonomous systems is hiring an AI Research Engineer for their remote team. Partnered with a third-party recruiter, this well-funded company is committed to protecting democratic values through innovative engineering.
Responsibilities:
- Develop and implement AI/ML models for enterprise software and edge devices (e.g., drones, robots).
- Work with clients to address complex challenges using AI-driven solutions.
- Optimise models for resource-limited environments while tackling ethical and data concerns.
- Influence the company’s AI strategy with significant autonomy.
Requirements:
- MSc in CS, AI, ML, or robotics (PhD preferred).
- 4+ years of ML experience (e.g., scene understanding, multi-modal sensing).
- Expertise in Python, Rust, C++, or Java, as well as frameworks like PyTorch, TensorFlow, and JAX.
- Excellent communication and problem-solving abilities.
Bonus:
- Experience with MLOps, sensor modalities, or deploying production models.
Note: Diverse backgrounds are encouraged; not all criteria are mandatory.
Security: Must be eligible for UK security clearance (SC or higher, 5+ years UK residency).
AI Research Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in areas like scene understanding and multi-modal sensing. This will not only enhance your knowledge but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with various programming languages and frameworks mentioned in the job description. Be prepared to discuss specific projects where you've used Python, Rust, C++, or Java, as well as tools like PyTorch or TensorFlow.
✨Tip Number 3
Highlight any experience you have with MLOps or deploying production models. Even if it's a bonus requirement, demonstrating this knowledge can set you apart from other candidates and show your readiness for the role.
✨Tip Number 4
Prepare to discuss ethical considerations in AI and how they relate to the company's mission of protecting democratic values. This shows that you align with their vision and are thoughtful about the implications of your work.
We think you need these skills to ace AI Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning. Focus on projects where you've developed or implemented AI/ML models, especially in resource-limited environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it aligns with the company's mission to protect democratic values. Mention specific experiences that demonstrate your problem-solving abilities and communication skills.
Showcase Technical Skills: Clearly list your technical skills, particularly in Python, Rust, C++, or Java, along with any frameworks like PyTorch, TensorFlow, and JAX. Provide examples of how you've used these technologies in past projects.
Highlight Relevant Experience: If you have experience with MLOps, sensor modalities, or deploying production models, make sure to include this in your application. Even if not all criteria are met, showcasing relevant experience can set you apart.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML models and the programming languages mentioned in the job description. Bring examples of past projects where you've implemented these technologies, especially in resource-limited environments.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your problem-solving skills. Think about complex challenges you've faced in previous roles and how you approached them using AI-driven solutions.
✨Communicate Clearly
Since excellent communication is a requirement, practice explaining your technical work in simple terms. This will help you connect with interviewers who may not have a deep technical background.
✨Understand Ethical Considerations
Familiarise yourself with the ethical implications of AI and data usage. Be ready to discuss how you would address these concerns in your work, as this aligns with the company's commitment to democratic values.
