At a Glance
- Tasks: Bridge research and production in AI, working on cutting-edge technology.
- Company: Oliver Bernard, a leader in AI innovation based in London.
- Benefits: Base salary up to £150,000, meaningful equity, and dynamic work environment.
- Other info: Exciting opportunity for career growth in a fast-paced tech landscape.
- Why this job: Collaborate with exceptional engineers and researchers to shape the future of AI.
- Qualifications: Degree in a quantitative field and strong Python software engineering skills.
The predicted salary is between 150000 - 150000 £ per year.
Oliver Bernard is seeking a Research Engineer in London to bridge research and production in AI, working on cutting-edge technology. The ideal candidate will have a degree in a quantitative field and strong software engineering skills, particularly in Python.
This role offers a base salary of up to £150,000, meaningful equity, and the opportunity to collaborate with exceptional engineers and researchers in a dynamic environment.
Applied ML Research Engineer — London On-Site, Equity employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our London-based team thrives in a dynamic environment where employees are encouraged to grow through meaningful projects and access to cutting-edge technology, alongside competitive salaries and equity options that truly reward your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Research Engineer — London On-Site, Equity
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space on LinkedIn or at meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This is your chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. We recommend practicing with mock interviews to build confidence and get feedback.
✨Tip Number 4
Don’t forget to 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 Applied ML Research Engineer — London On-Site, Equity
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and software engineering, especially with Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about bridging research and production in AI. We love seeing candidates who can articulate their enthusiasm for cutting-edge technology.
Showcase Your Quantitative Skills:Since a degree in a quantitative field is key for this role, make sure to mention any relevant coursework or projects. We’re looking for evidence of your analytical abilities, so don’t hold back!
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 this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Oliver Bernard
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning concepts and algorithms. Be ready to discuss your previous projects and how you've applied your skills in Python. This will show that you can bridge the gap between research and production effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Practice coding problems related to machine learning and software engineering. This will demonstrate your ability to think critically and solve real-world problems, which is crucial for this role.
✨Understand the Company Culture
Research Oliver Bernard and their approach to AI and technology. Familiarise yourself with their values and recent projects. This will help you tailor your answers and show that you're genuinely interested in being part of their dynamic environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and future directions of the company. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and values.
