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- Tasks: Join our Core ML team to develop cutting-edge algorithms and robust ML software.
- Company: A deep defence-tech startup in Cambridge, backed by Entrepreneur First.
- Benefits: Competitive salary, equity, and the chance to shape future robot collaboration.
- Why this job: Work on mission-critical applications with real-world impact in a dynamic environment.
- Qualifications: MSc/PhD in ML or Robotics; 5+ years coding in Python and C++ required.
- Other info: Opportunity to work with high-fidelity simulations and aerial platforms.
The predicted salary is between 48000 - 84000 £ per year.
Direct message the job poster from Understanding Recruitment
The Machine Learning Recruiter! | I\’ve been filling MLE roles for over 8 years | Winner of Outstanding Advocate for Women in Tech 23 |…
About the Role
Join a pioneering robotics team pushing the limits of autonomy. As an ML Engineer, you’ll build the core perception and state estimation engine that allows a multi-agent system to truly understand its world. Your work will transform raw, noisy sensor data into a rich symbolic world model—laying the foundation for advanced decision-making and collaborative autonomy.
What You’ll Do
- Design and implement probabilistic ML algorithms (Bayesian inference, EKFs/UKFs) to handle uncertainty in real-world environments.
- Fuse data from diverse sensors into coherent, reliable world representations.
- Deploy scalable solutions using modern ML frameworks like PyTorch and computer vision tools like OpenCV.
- Collaborate with robotics experts to bring perception models from simulation into real-time systems.
What You’ll Bring
- Strong background in probabilistic ML and state estimation .
- Proficiency in Python and C++ .
- Hands-on experience with ML frameworks, computer vision, and sensor fusion .
Bonus Skills
- Experience with UAVs, UGVs, or other robotic platforms.
- Familiarity with ROS 2 and distributed middleware (DDS).
- Knowledge of multi-agent reinforcement learning (MARL) and collaborative robotics.
- Background in simulation environments and real-time systems.
Be part of a team shaping the future of multi-agent autonomy. Apply today and help build the next generation of intelligent robotics.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Staffing and Recruiting
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Machine Learning Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with Python and C++ in your conversations. Highlight specific projects where you've written production-quality code, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarise yourself with the latest advancements in probabilistic machine learning and Bayesian inference. Being able to discuss these topics confidently can set you apart during interviews.
✨Tip Number 3
If you have experience with ROS 2 or real-world deployments on UAVs/UGVs, be ready to share specific examples. This practical knowledge is highly valued and can give you an edge.
✨Tip Number 4
Engage with the company’s online presence. Follow them on social media and participate in discussions related to defence tech and machine learning. This shows your genuine interest and can help you make connections.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, particularly with Python and C++. Emphasise any projects or roles where you've developed algorithms or worked with sensor fusion.
Craft a Strong Cover Letter: In your cover letter, express your passion for defence technology and how your background aligns with the company's mission. Mention specific skills like probabilistic ML or experience with PyTorch that make you a great fit.
Showcase Relevant Projects: Include a portfolio or links to relevant projects that demonstrate your expertise in ML, especially those involving real-world applications or collaborative software development.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to machine learning or robotics. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and C++, as well as your knowledge of ML frameworks like PyTorch or TensorFlow. Bring examples of your past projects that demonstrate your ability to write production-quality code.
✨Understand the Company’s Mission
Research the defence-tech startup and understand their goals, especially regarding robot collaboration and mission-critical applications. This will help you align your answers with their vision during the interview.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your understanding of probabilistic ML, Bayesian inference, and sensor fusion. Practice explaining complex concepts clearly and concisely, as this will showcase your expertise.
✨Demonstrate Collaborative Skills
Highlight your experience with CI/CD and collaborative software development. Be ready to discuss how you’ve worked in teams, particularly in high-stakes environments, as teamwork is crucial in this role.
