At a Glance
- Tasks: Lead the ML QA team in validating cutting-edge machine learning software.
- Company: Join Graphcore, a leader in AI technology based in Bristol.
- Benefits: Enjoy a competitive salary, flexible working hours, and a supportive environment.
- Other info: Be part of a dynamic team with opportunities for growth in the tech industry.
- Why this job: Make an impact in the AI field while developing your skills as a Product Owner.
- Qualifications: Experience as a Product Owner in agile settings and strong communication skills.
The predicted salary is between 50000 - 60000 € per year.
Graphcore is seeking a Technical Product Owner for their ML QA team in Bristol. The role involves coordinating the team's efforts in validating the machine learning software stack.
Responsibilities include:
- Managing the backlog
- Facilitating sprint planning
- Ensuring successful validation processes across teams
Candidates should have experience as a Product Owner in an agile context, strong communication skills, and familiarity with ML software. This position offers competitive salary, flexible working, and a supportive work environment.
ML QA Product Owner — Shape AI Validation & Roadmaps in Bristol employer: graphcore
Graphcore is an exceptional employer, offering a dynamic and supportive work environment in the heart of Bristol. With a focus on employee growth and development, we provide competitive salaries, flexible working arrangements, and opportunities to collaborate with cutting-edge technology in the machine learning space. Join us to be part of a forward-thinking team that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land ML QA Product Owner — Shape AI Validation & Roadmaps in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the ML and QA space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with ML software and agile methodologies. This will give you an edge and something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for Product Owners in the ML space and practice your responses. We recommend using the STAR method to structure your answers and showcase your problem-solving skills.
✨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 ML QA Product Owner — Shape AI Validation & Roadmaps in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Product Owner, especially in agile environments. We want to see how your skills align with the role, so don’t be shy about showcasing your familiarity with ML software!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit for our ML QA team. We love hearing your story!
Showcase Your Communication Skills:Strong communication is key for this role. In your application, give examples of how you've effectively coordinated teams or facilitated discussions. We want to know how you can help us keep everything running smoothly!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at graphcore
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Understand the key concepts and terminologies, as you'll likely be asked to explain how they relate to the validation processes. Being able to speak confidently about ML will show that you're not just a Product Owner but also someone who understands the technical side.
✨Familiarise with Agile Methodologies
Since the role requires experience in an agile context, it’s crucial to be well-versed in agile principles. Prepare examples of how you've successfully managed backlogs and facilitated sprint planning in previous roles. This will demonstrate your ability to lead the team effectively.
✨Communicate Clearly
Strong communication skills are a must for this position. Practice articulating your thoughts clearly and concisely. You might want to prepare a few scenarios where you had to communicate complex ideas to non-technical stakeholders, as this will highlight your ability to bridge the gap between teams.
✨Show Enthusiasm for the Role
Let your passion for the role shine through during the interview. Research Graphcore and their products, and be ready to discuss why you’re excited about the opportunity to work with their ML QA team. A genuine interest can set you apart from other candidates.
