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 an impact in the AI space.
- Qualifications: Strong Python skills and a background in NLP and Deep Learning.
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 in London 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 growth, alongside opportunities to engage in cutting-edge projects. Our commitment to employee development ensures that you will have the resources and support needed to advance your career while making a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in London
✨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 applied your mathematical skills in real-world scenarios.
✨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 in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong skills in Python, NLP, and Deep Learning in your application. We want to see how your background in Computational Science can contribute to our team!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Research Engineer role. We love seeing how you connect your experience with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication that gets to the point while showcasing your passion for AI and market research.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 your previous roles. Think of examples where you used your mathematical and statistical skills to derive solutions, as this will demonstrate your ability to handle the challenges of the role.
✨Understand the Company’s Vision
Research the start-up's mission and recent projects. Being able to articulate how your background aligns with their goals will show that you're genuinely interested and invested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the research-to-production life cycle, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
