At a Glance
- Tasks: Develop and deploy machine learning models for cutting-edge robotic systems.
- Company: VIKASO LTD, a pioneering robotics company transforming industrial automation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on advancing robotics and career development.
- Why this job: Join us to shape the future of robotics with innovative technology and real-world impact.
- Qualifications: PhD in ML/Robotics or 2-5+ years of applied ML experience required.
The predicted salary is between 50000 - 70000 £ 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.
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. 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.
- 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.
Qualifications:
- 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 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.
- Strong computer vision background with experience in GPU acceleration and model optimisation.
- 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 (Remote) employer: VIKASO | Robotics 4.0
VIKASO LTD is an exceptional employer for Machine Learning Engineers, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge robotics technologies while supporting continuous learning and development. Our inclusive work culture encourages creativity and teamwork, making it an ideal place for those looking to make a meaningful impact in the field of industrial automation.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (Remote)
✨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 deep learning and robotics. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Machine Learning Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with deep learning, computer vision, and any relevant projects that showcase your skills in robotics. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and how your background aligns with our goals at VIKASO LTD. Be genuine and let your personality come through – we love seeing enthusiasm!
Showcase Your Projects:If you've worked on any machine learning projects, especially those related to robotics or computer vision, make sure to include them. We’re interested in real-world applications, so share your successes and what you learned along the way!
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. Plus, it shows you’re keen on 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 experience with frameworks like PyTorch or TensorFlow, and have examples of production ML systems you've built. This will show that you’re not just a theorist but someone who can apply their knowledge in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed and deployed machine learning models. Highlight any challenges you faced and how you overcame them, especially in relation to robotics. This will demonstrate your problem-solving skills and your ability to translate research into practical applications.
✨Get Technical
Be ready for some technical questions! Brush up on your Python and C++ skills, and be prepared to discuss software engineering principles like modular design and version control. Familiarity with CI/CD pipelines and MLOps workflows will also be a plus, so don’t shy away from discussing these topics.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about VIKASO LTD's approach to robotics and machine learning. This shows your genuine interest in the company and the role. You might want to inquire about their current projects or how they envision the future of industrial automation, which can lead to a great discussion!
