At a Glance
- Tasks: Build and scale machine learning infrastructure for advanced AI systems.
- Company: Innovative robotics company at the forefront of AI technology.
- Benefits: Competitive salary, equity opportunities, private healthcare, and training budget.
- Other info: Join a highly technical team with exciting career growth potential.
- Why this job: Shape the future of AI and robotics in a collaborative environment.
- Qualifications: Degree in Computer Science and 3+ years in cloud or ML infrastructure.
Location: Bristol (On-Site)
Job Type: Full-Time, Permanent
Salary: Dependent on Experience (DOE)
The Opportunity
Our client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that powers training, deployment and continuous improvement of advanced AI capabilities. This role sits at the intersection of cloud infrastructure, machine learning operations, data engineering and robotics, offering a unique opportunity to shape how advanced AI systems are developed and deployed at scale.
The Role
You'll be responsible for building the infrastructure and workflows that connect data collection, training, evaluation, deployment and fleet management into a seamless platform. Working closely with AI researchers and robotics engineers, you'll transform complex machine learning workflows into scalable, production-ready systems.
Key Responsibilities
- Build and maintain scalable ML infrastructure
- Develop containerised training environments
- Manage cloud GPU orchestration and distributed training
- Implement experiment tracking and model registries
- Build automated data processing pipelines
- Develop model evaluation and deployment workflows
- Improve developer experience for ML teams
- Extend CI/CD with ML-specific validation and testing
- Automate infrastructure provisioning and deployment
Requirements
- Degree in Computer Science, Software Engineering or related discipline
- 3+ years building cloud, platform, ML or data infrastructure
- Strong Python development skills
- Experience with training pipelines and distributed workloads
- Docker and containerisation expertise
- Experience with cloud platforms (GCP preferred)
- Infrastructure-as-Code experience (Terraform preferred)
Desirable Experience
- MLOps for robotics, autonomous systems or embodied AI
- Kubeflow, SkyPilot or similar tooling
- ONNX and TensorRT deployment
- MLflow or experiment tracking platforms
- Event-driven architectures
- GPU orchestration and optimisation
- Simulation and sim-to-real workflows
What's on Offer
- Salary dependent on experience
- Equity opportunities
- Private healthcare
- Conference and training budget
- Opportunity to build infrastructure powering advanced AI and robotics systems
- Collaborative and highly technical engineering culture
Machine Learning Engineer in Somerset employer: OpenSourced Ltd
Our client is an exceptional employer located in Bristol, offering a dynamic and collaborative work environment where innovation thrives. With a strong focus on employee growth, they provide opportunities for professional development through conferences and training budgets, alongside competitive benefits such as private healthcare and equity options. Joining this team means being at the forefront of advanced AI and robotics, contributing to meaningful projects that shape the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Somerset
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at OpenSourced Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to OpenSourced Ltd.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like OpenSourced Ltd.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like OpenSourced Ltd that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Engineer in Somerset
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at OpenSourced Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at OpenSourced Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at OpenSourced Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If OpenSourced Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
