At a Glance
- Tasks: Design, train, and optimise machine learning models for advanced robotics applications.
- Company: Innovative UK robotics company transforming industrial automation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with experts on complex engineering challenges in a rapidly growing field.
- Why this job: Join a team creating cutting-edge robotics technology with real-world impact.
- Qualifications: PhD or 2-5+ years in ML, computer vision, or robotics; strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Build the Intelligence Behind Next Generation Robotics. Industrial robotics is evolving rapidly, but most robotic systems still struggle with fragmented integrations, unreliable perception, and limited scalability in real world environments. Our client is changing that. This UK based robotics company is building a next generation robotics platform designed to simplify deployment, improve operational intelligence, and accelerate automation across manufacturing and logistics environments. By combining robotics, machine learning, software engineering, and control systems, the company is creating robot agnostic technologies that transform industrial automation into a scalable, productised platform.
As the business continues to grow, they are now looking for an Applied Scientist / ML Engineer to help develop the machine learning systems powering the next generation of intelligent robotics. This is an opportunity for someone who enjoys taking cutting edge machine learning research and turning it into reliable, production grade systems that operate in demanding real world environments.
The Role
The successful candidate will play a critical role in designing, training, deploying, and optimising machine learning models used within advanced robotics applications. Working at the intersection of computer vision, robotics, and AI, they will develop deep learning systems that allow robots to perceive environments, understand scenes, process sensor inputs, and operate with greater reliability and precision. The company is particularly interested in individuals who can think beyond incremental improvements and apply modern machine learning techniques to solve complex industrial challenges. This includes leveraging foundation models, generative AI approaches, synthetic data generation, and scalable ML infrastructure to improve robotics capability and deployment speed.
A key responsibility will be developing robust neural network architectures focused on object detection, segmentation, pose estimation, and scene understanding. The successful candidate will work on models that directly impact robotic perception and decision making in live industrial environments. The role will also involve building scalable training and inference pipelines capable of supporting high performance production workloads. This includes fine tuning models, optimising inference performance, improving system reliability, and ensuring models can operate effectively in real time robotics applications.
In addition, the Applied Scientist / ML Engineer will contribute to the design and maintenance of data pipelines covering collection, ingestion, curation, versioning, and synthetic data generation. The ability to create scalable and maintainable ML workflows will be highly valuable as the company continues to expand its robotics platform. The successful candidate will work closely with robotics and software engineering teams to integrate machine learning systems into broader robotics pipelines. This includes working with distributed GPU training systems, cloud infrastructure, and edge deployment environments.
Beyond technical delivery, the company is looking for someone who values strong engineering fundamentals and understands how to build production ready ML systems rather than isolated research prototypes. Testing, modular design, benchmarking, and maintainability will all be important parts of the role.
What They're Looking For
The ideal candidate will have a strong background in applied machine learning, computer vision, or robotics engineering, alongside experience building production ML systems. Candidates should have:
- A PhD in Machine Learning, Robotics, Computer Vision, or a related field, or 2 to 5+ years of relevant industry experience
- Strong experience with deep learning and computer vision techniques
- A solid understanding of probability, optimisation, statistics, and ML fundamentals
- Strong Python programming skills, with C++ experience considered highly beneficial
- Experience using frameworks such as PyTorch, TensorFlow, or JAX
- Experience building scalable ML systems for production environments
- Familiarity with cloud or GPU based training infrastructure and MLOps workflows
- Experience designing evaluation, testing, and benchmarking frameworks
- Hands on experience with object detection, segmentation, pose estimation, camera calibration, and sensor integration
Additional experience with GPU acceleration, edge deployment, ROS/ROS2, Docker, CI/CD pipelines, or robotics integration would be highly advantageous.
Why Join?
This is an opportunity to join a business building genuinely innovative robotics technology with the potential to transform industrial automation on a global scale. The role offers exposure to complex engineering challenges across machine learning, robotics, computer vision, and distributed systems while working alongside a highly technical team developing real world robotics products. For ML engineers and applied scientists who want to move beyond pure research and build intelligent systems that directly power physical robotics platforms, this is an opportunity to make a tangible impact in a rapidly growing space.
Machine Learning Engineer in Aylesbury employer: Findrs
Join a pioneering UK-based robotics company that is at the forefront of transforming industrial automation through innovative machine learning and robotics technology. With a strong emphasis on employee growth, collaborative work culture, and tackling complex engineering challenges, this role offers the chance to make a significant impact in a rapidly evolving field. Enjoy a supportive environment that values creativity and technical excellence, while working alongside a highly skilled team dedicated to pushing the boundaries of robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Aylesbury
✨Tip Number 1
Network like a pro! Get out there and connect with people in the robotics and machine learning space. Attend meetups, webinars, or conferences to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and robotics. This could include GitHub repositories, blog posts, or even videos demonstrating your work. It’s a great way to stand out!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. Practice common interview questions and work on problems that involve real-world applications of ML in robotics.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Tailor your application to highlight your relevant experience and passion for robotics and machine learning.
We think you need these skills to ace Machine Learning Engineer in Aylesbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of a Machine Learning Engineer. Highlight your experience in applied machine learning, computer vision, and any relevant projects that showcase your ability to build production-ready systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about robotics and machine learning. Share specific examples of how you've tackled complex challenges in the past and how you can contribute to our mission of transforming industrial automation.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, deep learning frameworks like PyTorch or TensorFlow, and any experience with cloud infrastructure. We want to see how your technical background fits into our innovative robotics platform.
Apply Through Our Website:We encourage you to apply directly through our website. This helps us streamline the process and ensures your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Findrs
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially deep learning and computer vision techniques. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex challenges you've faced in previous roles and how you tackled them. This role is all about applying modern ML techniques to solve industrial problems, so demonstrate your ability to think critically and creatively.
✨Familiarise Yourself with Their Tech Stack
Get to know the tools and frameworks mentioned in the job description, like PyTorch, TensorFlow, and MLOps workflows. If you have experience with cloud or GPU-based training infrastructure, be sure to highlight that during the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's robotics platform and their approach to integrating ML systems. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.
