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 opportunities for 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 enjoys competitive salaries, meaningful equity, and ample opportunities for professional growth, all while working alongside some of the brightest minds in AI technology. Join us to be part of a forward-thinking environment where your contributions truly matter.
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 professionals 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 practicing coding challenges and ML concepts. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨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 🫡
Show Off Your Skills:Make sure to highlight your degree and any relevant experience in quantitative fields. We want to see your strong software engineering skills, especially in Python, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention how your background aligns with bridging research and production in AI. We love seeing candidates who understand our mission!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other relevant technologies. Brush up on your coding skills and be ready to demonstrate your problem-solving abilities with practical examples during the interview.
✨Showcase Your Research Experience
Prepare to discuss your previous research projects and how they relate to applied machine learning. Highlight any innovative solutions you've developed and be ready to explain your thought process and methodologies.
✨Understand the Company’s Vision
Do your homework on Oliver Bernard and their approach to AI. Familiarise yourself with their recent projects and how they bridge research and production. This will help you align your answers with their goals and show genuine interest.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their current challenges in AI or how they measure success in their projects. This shows you’re engaged and eager to contribute.
