Senior ML Engineer: AI Hardware & Scalable Models in Cambridge
EngineersOfAI Cambridge About the role
Graphcore in Cambridge is seeking a Senior Machine Learning Engineer for the Applied AI team to advance AI technology by developing and optimising models for our specialised hardware. You’ll work on large-scale systems where performance is critical, collaborating with software and research teams to push the state of the art.
You’ll implement models end-to-end, evaluate experiments, and contribute to scalable, efficient AI solutions across multiple modalities.
Your tasks
Develop and optimise AI models for cutting-edge hardware in a collaborative environment.
Your profile
Experience in machine learning and a passion for innovative AI solutions.
What's also included
Competitive salary, flexible working options, and opportunities for professional growth.
Tech stack & ways of working
Senior ML Engineer: AI Hardware & Scalable Models in Cambridge employer: EngineersOfAI
Graphcore is an exceptional employer, offering a dynamic work environment where innovation thrives and every team member can contribute to groundbreaking advancements in AI technology. With a strong focus on employee growth, Graphcore provides ample opportunities for professional development and collaboration with industry experts, all while being part of the prestigious SoftBank Group. Located in a vibrant tech hub, employees enjoy a culture that values creativity, inclusivity, and the chance to make a significant impact in the rapidly evolving field of artificial intelligence.
Your perspectives
Join a pioneering team to shape the future of AI technology and make a real impact.
StudySmarter Expert Advice
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 EngineersOfAI!
Show Off Your Projects
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: AI Hardware & Scalable Models at EngineersOfAI.
Leverage Professional Networks
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 EngineersOfAI.
Apply Directly through Our Website
When you find a suitable opening like Senior ML Engineer: AI Hardware & Scalable Models at EngineersOfAI, 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!
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
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Craft a Tailored Cover Letter
For a full-time role at EngineersOfAI, 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 EngineersOfAI. 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 EngineersOfAI
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 EngineersOfAI!
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.
Locations
- Cambridge
