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- Tasks: Develop and optimise AI models for innovative hardware.
- Company: Leading AI innovator based in Bristol with a focus on collaboration.
- Benefits: Flexible working, comprehensive benefits, and continuous learning opportunities.
- Why this job: Join a team pushing the boundaries of AI performance and innovation.
- Qualifications: Strong foundations in machine learning and hands-on model experience.
- Other info: Perfect for those eager to grow in a dynamic tech environment.
The predicted salary is between 30000 - 48000 £ per year.
A leading AI innovator in Bristol is seeking a Graduate Machine Learning Engineer to develop and optimise AI models tailored to its cutting-edge hardware. This role involves close collaboration with software development and research teams to identify opportunities for innovation.
Ideal candidates should have strong foundations in machine learning and enjoy hands-on work with models. Offering flexible working, comprehensive benefits, and a focus on continuous learning, this position is ideal for those passionate about pushing the boundaries of AI performance.
Graduate ML Engineer, Applied AI - Optimize AI Models in Bristol employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate ML Engineer, Applied AI - Optimize AI Models in Bristol
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let us see what you can do with AI models!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your hands-on experience with models. We recommend practicing common ML interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Graduate ML Engineer, Applied AI - Optimize AI Models in Bristol
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and machine learning. Share any projects or experiences that highlight your hands-on work with models, as this will resonate with our focus on innovation.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Graduate ML Engineer role. Highlight relevant skills and experiences that align with the job description, especially those related to optimising AI models and collaborating with teams.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s necessary, and make sure your passion for pushing AI boundaries shines through.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right place and allows us to process it efficiently. Plus, it’s a great way to explore more about what we do!
How to prepare for a job interview at graphcore
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, model optimisation techniques, and any relevant projects you've worked on. This will show your passion and understanding of the field.
✨Showcase Your Hands-On Experience
Prepare to talk about specific instances where you've worked directly with AI models. Whether it's a university project or personal work, having concrete examples will demonstrate your practical skills and enthusiasm for hands-on tasks.
✨Collaborate Like a Pro
Since this role involves working closely with software development and research teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can contribute to a team environment.
✨Embrace Continuous Learning
This position values continuous learning, so be ready to discuss how you keep up with the latest trends in AI and machine learning. Mention any courses, workshops, or resources you use to stay informed and improve your skills.
