At a Glance
- Tasks: Build AI systems and manage the full research to production life cycle.
- Company: Exciting VC & Y Combinator backed start-up in AI and Market Research.
- Benefits: Competitive salary, hands-on experience, and a vibrant work environment.
- Other info: On-site role in Central London with great opportunities for growth.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: Strong Python skills and background in NLP and Deep Learning required.
The predicted salary is between 50000 - 70000 £ per year.
Do you have an academic or research background within Computational Science? I'm partnered with a VC & Y Combinator backed start-up, who are in the AI & Market Research space, and are looking to grow their team by hiring for Research Engineers. Given the nature of what they do, coming from a Computational Science background is highly preferred, where you'll move fluidly across Research and Engineering, building AI Systems, owning the full Research to Production life cycle.
Key skills and experience:
- Strong skills with Python
- Background with NLP & Deep Learning
- Strong Mathematical and statistical skills
On-Site in Central London - 5-days a week
Research Engineer employer: Oliver Bernard
Join a dynamic and innovative start-up in the heart of Central London, where your expertise in Computational Science will be valued and nurtured. With a strong focus on AI and Market Research, we offer a collaborative work culture that encourages creativity and professional growth, alongside competitive benefits and the opportunity to work on cutting-edge projects. As part of our team, you'll have the chance to make a meaningful impact while advancing your career in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and Computational Science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, NLP, and Deep Learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with the full Research to Production life cycle and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong skills in Python, NLP, and Deep Learning. We want to see how your background in Computational Science can contribute to our team, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to tailor your application specifically for the Research Engineer role. Mention any relevant projects or experiences that align with our focus on AI systems and the full research to production life cycle.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your passion for computational science and AI shines through without unnecessary fluff.
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 in Central London!
How to prepare for a job interview at Oliver Bernard
✨Know Your Stuff
Make sure you brush up on your knowledge of Computational Science, Python, NLP, and Deep Learning. Be ready to discuss specific projects or research you've worked on that showcase your skills in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in the past. Think of examples where you've moved from research to production, and be ready to explain your thought process and the impact of your solutions.
✨Ask Insightful Questions
Demonstrate your interest in the company and role by asking thoughtful questions. Inquire about their current projects, team dynamics, or future goals in AI and Market Research. This shows you're genuinely interested and engaged.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems in Python and brush up on your mathematical and statistical knowledge. Being confident in your technical abilities will help you stand out.
