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: Fully 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 impactful projects.
- Qualifications: PhD in ML/Robotics or 2-5+ years of applied ML experience 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.
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 - Fully Remote employer: VIKASO | Robotics 4.0
VIKASO LTD is an exceptional employer for Machine Learning Engineers, offering a fully remote work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities to work on cutting-edge robotics technology while enjoying a supportive culture that values creativity and initiative. Our commitment to advancing automation ensures that you will be at the forefront of the industry, contributing to meaningful projects that redefine industrial robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Fully 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 are genuinely interested in joining our team.
We think you need these skills to ace Machine Learning Engineer - Fully 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. Be genuine and let your personality come through – we love seeing enthusiasm!
Showcase Your Projects:If you've worked on any machine learning or robotics projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
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 and TensorFlow, and have examples of your past projects where you've built production ML systems.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach developing and deploying robust deep neural networks for robotics. Being able to articulate your thought process will impress them!
✨Get Familiar with Their Tech Stack
Since VIKASO is focused on robotics, it’s crucial to understand their tech stack. Brush up on ROS/ROS2 and be ready to discuss how you would integrate ML into robotics pipelines. This shows you're not just a coder but someone who understands the bigger picture.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about their current projects, challenges they face in deploying ML models, or their vision for the future of robotics. This demonstrates your genuine interest in the role and the company.
