At a Glance
- Tasks: Develop machine learning systems for next-gen robotics and optimise real-world applications.
- Company: Innovative UK-based robotics company transforming industrial automation.
- Benefits: Fully remote work, competitive salary, and exposure to cutting-edge technology.
- Other info: Join a highly technical team and grow your career in a rapidly evolving field.
- Why this job: Make a tangible impact in robotics and tackle complex engineering challenges.
- 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. 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 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.
The ideal candidate will have a strong background in applied machine learning, computer vision, or robotics engineering, alongside experience building production ML systems. A PhD in Machine Learning, Robotics, Computer Vision, or a related field, or 2 to 5+ years of relevant industry experience is required.
- 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 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
- Additional experience with GPU acceleration, edge deployment, ROS/ROS2, Docker, CI/CD pipelines, or robotics integration would be highly advantageous
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 - Fully Remote in Aylesbury employer: Findrs
This UK-based robotics company is an exceptional employer, offering a fully remote position that allows you to work at the forefront of industrial automation. With a strong emphasis on innovation and collaboration, employees benefit from a dynamic work culture that encourages professional growth through exposure to cutting-edge technologies and complex engineering challenges. The company values strong engineering fundamentals and provides opportunities to develop scalable machine learning systems that have a real-world impact, making it an ideal place for those looking to make meaningful contributions in the field of robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Fully Remote in Aylesbury
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and machine learning fields on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and robotics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding ML concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are ready to dive into the world of robotics and machine learning. Your next big opportunity could be just a click away!
We think you need these skills to ace Machine Learning Engineer - Fully Remote in Aylesbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your machine learning projects, especially those related to robotics and computer vision, to show us you’re the right fit!
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 let your enthusiasm shine through!
Showcase Your Technical Skills:Don’t forget to mention your programming skills, especially in Python and any experience with C++. If you've worked with cloud infrastructure or MLOps workflows, make sure to include that too – it’s super relevant for this role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 experience with building production ML systems and how you've tackled real-world challenges in the past.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed or optimised machine learning models. Highlight any experience with neural network architectures, object detection, or scene understanding, and be ready to explain your thought process and the impact of your work.
✨Understand the Company’s Vision
Familiarise yourself with the company's mission to simplify robotics deployment and improve operational intelligence. Think about how your skills can contribute to their goals and be prepared to share ideas on how modern ML techniques can solve complex industrial challenges.
✨Ask Smart Questions
Prepare insightful questions that show your interest in the role and the company. Inquire about their current projects, the technologies they use, or how they approach integrating ML systems into robotics pipelines. This demonstrates your enthusiasm and helps you gauge if it’s the right fit for you.
