At a Glance
- Tasks: Build and scale AI infrastructure for robotics, focusing on model training and deployment.
- Company: Cutting-edge robotics company at the forefront of intelligent systems.
- Benefits: Competitive salary up to £110,000, hybrid work, and a dynamic engineering environment.
- Other info: Fast-paced environment with opportunities for growth in advanced robotics.
- Why this job: Make a direct impact on real-world AI systems in innovative robotics.
- Qualifications: Strong Python skills, experience with ML pipelines, and cloud platforms.
The predicted salary is between 88000 - 110000 £ per year.
We’re working with a cutting-edge robotics company building intelligent systems capable of learning real-world physical tasks. They’re now hiring an AI / ML Infrastructure Engineer to own the end-to-end infrastructure that powers model training, data pipelines, and deployment into real-world robotic systems. This is a highly technical role sitting at the intersection of machine learning, distributed systems, and robotics - not a generic MLOps position.
Key Responsibilities:
- Build and scale GPU-based training infrastructure for large ML workloads
- Develop robust data pipelines for multi-modal datasets
- Own experiment tracking, model versioning, and reproducibility
- Design and optimise model deployment pipelines (including edge inference)
- Improve CI/CD workflows for ML systems and automate infrastructure
Key Requirements:
- Strong Python and experience with PyTorch-based training pipelines
- Experience with distributed training (DDP, FSDP, DeepSpeed)
- Solid cloud experience (GCP / AWS / Azure)
- Hands-on with Docker and infrastructure-as-code (Terraform)
- Experience building ML pipelines in production environments
Desirable:
- Robotics, autonomous systems, or embodied AI experience
- GPU orchestration (Kubeflow, Kubernetes, SkyPilot)
- Edge deployment (ONNX, TensorRT)
Why Apply?
- Work on real-world AI systems deployed into physical robots
- Direct impact on cutting-edge robotics capability
- Fast-moving, high-calibre engineering environment
AI/ ML Infrastructure Engineer in Bath employer: OpenSourced - Search & Selection
Join a pioneering robotics company in Bristol, where you will be at the forefront of AI and machine learning innovation. With a strong emphasis on employee growth, a collaborative work culture, and the opportunity to make a direct impact on cutting-edge technology, this role offers a unique chance to thrive in a fast-paced environment. Enjoy competitive compensation and the flexibility of a hybrid working model, making it an excellent place for those seeking meaningful and rewarding employment.
Contact Details:
OpenSourced - Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI/ ML Infrastructure Engineer in Bath
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI/ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, or any cool ML pipelines you've built. We want to see your hands-on experience, so make it pop!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of distributed systems and cloud platforms. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨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 proactive about their job search!
We think you need these skills to ace AI/ ML Infrastructure Engineer in Bath
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/ML Infrastructure Engineer role. Highlight your experience with Python, PyTorch, and any cloud platforms you've worked with. We want to see how your skills match up with what we're looking for!
Showcase Your Projects:Include specific projects that demonstrate your expertise in building ML pipelines and working with distributed systems. If you've got experience in robotics or autonomous systems, make it shine! We love seeing real-world applications of your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're passionate about this role. Share your enthusiasm for robotics and AI, and explain how your background makes you a perfect fit. Keep it engaging and personal!
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, we love seeing candidates who take that extra step!
How to prepare for a job interview at OpenSourced - Search & Selection
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and the specifics of distributed training. Brush up on your knowledge of cloud platforms like GCP, AWS, or Azure, as well as Docker and Terraform. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building ML pipelines or optimising CI/CD workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your critical thinking and technical prowess in real-world scenarios.
✨Understand the Company’s Vision
Research the robotics company and their projects. Familiarise yourself with their intelligent systems and how they apply AI/ML in robotics. Showing genuine interest in their work and aligning your skills with their goals can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and future challenges in AI/ML infrastructure. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
