At a Glance
- Tasks: Develop and optimise AI models for cutting-edge hardware.
- Company: Join Graphcore, a leader in AI technology based in Bristol.
- Benefits: Enjoy flexible working, private medical insurance, and generous leave.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in the AI community with innovative projects.
- Qualifications: Strong technical skills in AI model implementation at scale.
The predicted salary is between 72000 - 88000 £ per year.
Graphcore is looking for a Senior Machine Learning Engineer to join their Applied AI team in Bristol.
You will contribute to the advancement of AI technology by developing and optimizing models tailored to our specialized hardware.
The ideal candidate should possess strong technical skills and an understanding of AI model implementation at scale.
Responsibilities include collaborating with cross-functional teams, conducting experiments, and engaging with the AI community.
Graphcore offers a competitive salary along with benefits such as flexible working, private medical insurance, and a generous annual leave policy. #J-18808-Ljbffr
Senior ML Engineer – Scalable AI on Innovative Hardware employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol and London, where innovation thrives. With a strong focus on employee growth, we provide opportunities to engage in cutting-edge AI technology while enjoying benefits like flexible working, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among diverse talents, ensuring that every team member can make a meaningful impact on the future of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer – Scalable AI on Innovative Hardware
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like graphcore!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior ML Engineer – Scalable AI on Innovative Hardware at graphcore.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like graphcore.
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When you find a suitable opening like Senior ML Engineer – Scalable AI on Innovative Hardware at graphcore, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior ML Engineer – Scalable AI on Innovative Hardware
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at graphcore, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at graphcore. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at graphcore
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at graphcore!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
