At a Glance
- Tasks: Develop and deploy machine learning models for cutting-edge robotics systems.
- Company: VIKASO LTD, a pioneering UK robotics company transforming industrial automation.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Join us to redefine robotics and make a real impact in the industry.
- Qualifications: PhD or 2-5+ years in ML/Robotics; strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
About Us
VIKASO LTD is a UK-based robotics company redefining how industrial robots are deployed, controlled, and scaled. We are building next-generation hardware and software platforms that abstract complexity, standardise integration, and enable rapid adoption of robotics across manufacturing and logistics environments.
Our approach centres on robot-agnostic technologies that transform robotics from fragmented systems into a scalable, productised platform. While enabling automation at scale, our focus remains on advancing robotics - making robots easier to deploy, more intelligent to operate, and more reliable in production. At the intersection of software, control systems, and mechatronics, we are building a globally scalable robotics platform that will define the future of industrial automation.
Role Overview
In this role, you will formulate, train and deploy machine learning models for robotic systems that perceive the world through vision and sensors, learn structured representation in data, and operate reliably in real‑world industrial environments. You’ll translate research into clean, production‑grade software that improves system performance and accelerates deployment. The focus is reducing unnecessary complexity with scalable and reliable designs. You’ll push beyond incremental improvements by applying ideas from foundation models and generative AI, leveraging synthetic data generation, and validating results on real robots. Your work will raise the bar for capability, reliability, and speed of iteration.
Responsibilities
- Key objective is to develop and deploy robust deep neural networks for robotics, supported by object detection, segmentation, and scene understanding models.
- Build scalable pipelines for training, fine‑tuning, inference, and real-time optimization for reliability and performance.
- Develop and maintain data pipelines for collection, ingestion, curation, versioning, and synthetic data generation.
- Work with distributed training systems (multi‑GPU/cloud) and integrate models into robotics pipelines.
Requirements
- PhD in ML/Robotics/Computer Vision or 2-5+ years of applied ML experience.
- Strong background in deep learning (computer vision), state-estimation, and core ML mathematics (probability theory, statistics, optimisation, etc).
- Proficiency in Python (required) and C++ (preferred for robotics integration).
- Experience with ML frameworks such as PyTorch (preferred), TensorFlow, or JAX.
- Proven track record in building production ML systems, not just research prototypes.
- Strong software engineering fundamentals: modular design, testing, and version control.
- Experience with cloud/GPU training infrastructure and MLOps workflows.
- Ability to design evaluation and benchmarking frameworks.
- Hands-on experience with pose estimation, object detection/segmentation, camera calibration, and sensor integration.
Preferred Experience
- Strong computer vision background with experience in GPU acceleration and model optimisation.
- Experience with Docker and containerised development workflows.
- Familiarity with CI/CD pipelines for ML and production systems.
- Experience deploying ML models on edge devices (Jetson, embedded GPUs, or similar).
- Familiarity with ROS / ROS2 and integrating ML into robotics stacks.
Machine Learning Engineer in Amersham employer: VIKASO | Robotics 4.0
VIKASO LTD is an exceptional employer for Machine Learning Engineers, offering a dynamic work environment at the forefront of robotics innovation in the UK. With a strong emphasis on employee growth and development, we provide opportunities to work on cutting-edge technologies that redefine industrial automation, while fostering a collaborative culture that values creativity and problem-solving. Our commitment to advancing robotics ensures that you will be part of a team that not only embraces complexity but also transforms it into scalable solutions, making your contributions impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Amersham
✨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 open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to deep learning and robotics. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining us.
We think you need these skills to ace Machine Learning Engineer in Amersham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in machine learning and robotics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Read the Job Description Carefully:Before you hit that apply button, take a moment to read through the job description thoroughly. Understanding what we’re looking for will help you craft a more compelling application that stands out.
Showcase Your Technical Skills:We’re all about deep learning and robotics, so make sure to highlight your proficiency in Python, C++, and any ML frameworks you’ve worked with. Don’t forget to mention any hands-on experience with real-world applications!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly and efficiently. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at VIKASO | Robotics 4.0
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially deep learning and computer vision. Be ready to discuss your past projects in detail, particularly those involving production ML systems. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Coding Skills
Since proficiency in Python is a must, be prepared to demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures can really help you shine here.
✨Familiarise with Their Tech Stack
VIKASO LTD is all about robotics and automation, so knowing their tech stack can give you an edge. Brush up on frameworks like PyTorch and TensorFlow, and if you have experience with Docker or CI/CD pipelines, make sure to highlight that. It shows you're ready to hit the ground running.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about their projects and future goals. Ask about their approach to integrating ML into robotics stacks or how they handle real-time optimisation. This not only shows your interest but also helps you gauge if the company is the right fit for you.
