At a Glance
- Tasks: Implement and test ML ideas, build prototypes, and collaborate with researchers.
- Company: Join a leading tech firm in the semiconductor domain.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Other info: Work onsite in vibrant London or Cambridge with a dynamic team.
- Why this job: Dive into AI and deep learning while making a real impact in tech.
- Qualifications: Strong background in machine learning and programming required.
The predicted salary is between 50000 - 70000 £ per year.
European Tech Recruit has partnered with a client to hire a Research Engineer for AI, Deep Learning and LLM work in the semiconductor domain. The role is full-time and 100% onsite in London or Cambridge.
You will implement and test ML ideas, build prototypes, collaborate with researchers, and maintain research tools while staying current with AI advances. A strong background in ML and programming is required.
#J-18808-LjbffrAI Research Engineer — Deep Learning & LLM Prototyping in Peterborough employer: European Tech Recruit
Join a leading global technology organisation in Edinburgh, where innovation meets collaboration. As an AI Engineer, you'll be part of a dynamic research and development team dedicated to pushing the boundaries of multimodal AI and edge computing. Enjoy a supportive work culture that fosters professional growth, offers competitive benefits, and provides unique opportunities to work on groundbreaking projects that shape the future of intelligent mapping and spatial reasoning systems.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer — Deep Learning & LLM Prototyping in Peterborough
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Research Engineer — Deep Learning & LLM Prototyping in Peterborough
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 European Tech Recruit, 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 European Tech Recruit. 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 European Tech Recruit
✨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!
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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 European Tech Recruit!
✨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.
