At a Glance
- Tasks: Develop and optimise AI models for cutting-edge hardware.
- Company: Join Graphcore, a leader in AI technology innovation.
- Benefits: Enjoy competitive salary, flexible working, and private medical insurance.
- Other info: Dynamic environment with opportunities for growth and learning.
- Why this job: Make a real impact in the AI field while collaborating with talented teams.
- Qualifications: Degree in a relevant field and proficiency in deep learning frameworks.
The predicted salary is between 25000 - 32000 € per year.
Graphcore is looking for a Graduate Machine Learning Engineer to contribute to advancing AI technology by developing and optimising AI models tailored to their hardware. This role involves collaborating with various teams and staying updated on AI research.
Key responsibilities include:
- Implementing machine learning models
- Evaluating software
- Conducting experiments
The ideal candidate holds a degree in a relevant field and is proficient in deep learning frameworks. Graphcore offers competitive salary and benefits, including flexible working and private medical insurance.
Applied ML Engineer — Optimize Models on AI Hardware in Cambridge employer: TargetJobs UK
Graphcore is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advancing AI technology. With a focus on employee growth, we offer competitive salaries, flexible working arrangements, and comprehensive benefits, including private medical insurance, making it an ideal environment for aspiring Machine Learning Engineers to thrive and make a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer — Optimize Models on AI Hardware in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Graphcore employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those optimised for AI hardware. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on deep learning frameworks and algorithms. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Applied ML Engineer — Optimize Models on AI Hardware in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and deep learning frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from your studies, we want to know what you've done and how it relates to optimising models on AI hardware.
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!
How to prepare for a job interview at TargetJobs UK
✨Know Your ML Frameworks
Make sure you brush up on the deep learning frameworks mentioned in the job description. Be ready to discuss your experience with them and how you've used them in past projects. This shows you're not just familiar but also capable of applying your knowledge effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in machine learning projects and how you overcame them. Graphcore is looking for someone who can optimise models, so demonstrating your analytical thinking and problem-solving abilities will set you apart.
✨Stay Updated on AI Research
Since the role involves staying current with AI advancements, make sure you can discuss recent trends or breakthroughs in the field. This shows your passion for AI and your commitment to continuous learning, which is crucial for a role that focuses on advancing technology.
✨Collaborative Mindset
As you'll be working with various teams, highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, as this will demonstrate your ability to fit into their collaborative culture and contribute effectively.
