At a Glance
- Tasks: Develop and implement advanced AI systems while collaborating with top researchers.
- Company: Exciting AI start-up in London with a focus on cutting-edge technology.
- Benefits: Competitive salary up to £150,000, equity package, and on-site work environment.
- Other info: Dynamic role with opportunities for growth and innovation in AI.
- Why this job: Join a world-class team and tackle complex challenges in machine learning.
- Qualifications: Degree in a quantitative field and strong Python software engineering skills.
The predicted salary is between 150000 - 150000 £ per year.
I'm currently working with a well-funded, high-growth AI company that is building cutting-edge technology at the intersection of machine learning, large-scale data systems, and applied research. They're looking for a Research Engineer to help bridge the gap between research and production, taking novel ideas from concept through to deployment and working on complex technical challenges alongside a world-class team.
What they're looking for:
- Degree in a highly quantitative subject such as Mathematics, Computer Science, Physics, Engineering, Statistics, Economics, or a related field from a leading university
- Strong software engineering skills, particularly with Python
- Experience building scalable systems and deploying machine learning models into production
- Ability to work across research and engineering, turning theoretical concepts into practical solutions
- Strong problem-solving skills and a track record of tackling complex technical challenges
What you'll be doing:
- Developing and implementing advanced machine learning and AI systems
- Working closely with researchers to productionise new algorithms and models
- Building scalable infrastructure, tooling, and data pipelines
- Conducting experiments and analysing results to drive product and technical decisions
- Collaborating with a highly technical team to solve challenging real-world problems
Package:
- Up to £150,000 base salary (depending on experience)
- Meaningful equity package
- London-based role (5 days per week on-site)
- Opportunity to work on genuinely cutting-edge technology alongside exceptional engineers and researchers
If you're interested in hearing more, please apply or send me a direct message.
Research Engineer - Start-up - London employer: Oliver Bernard
Join a dynamic and innovative AI start-up in London, where you'll be at the forefront of developing cutting-edge technology that bridges research and production. With a strong emphasis on collaboration and problem-solving, this company offers a vibrant work culture, meaningful equity opportunities, and the chance to work alongside world-class engineers and researchers, fostering both personal and professional growth in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer - Start-up - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and Python. This will give you an edge and demonstrate your ability to turn theoretical concepts into practical solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in building scalable systems and deploying models. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our cutting-edge team.
We think you need these skills to ace Research Engineer - Start-up - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Engineer role. Highlight your experience with Python and any projects where you've built scalable systems or deployed machine learning models. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background in quantitative subjects makes you a great fit. We love seeing enthusiasm and a clear connection to the role.
Showcase Problem-Solving Skills:In your application, don’t forget to mention specific examples of complex technical challenges you've tackled. We’re keen on candidates who can bridge the gap between research and production, so let us know how you've done this in the past!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at this exciting AI start-up!
How to prepare for a job interview at Oliver Bernard
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and AI systems. Be ready to discuss your experience with Python and any projects where you've built scalable systems or deployed models into production. This will show that you can bridge the gap between research and engineering.
✨Showcase Problem-Solving Skills
Prepare to talk about specific technical challenges you've faced in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your strong problem-solving skills and how you tackle complex issues.
✨Collaborate Like a Pro
Since you'll be working closely with researchers and engineers, highlight your teamwork experience. Share examples of how you've collaborated on projects, especially those that required turning theoretical concepts into practical solutions. This shows you're a team player who can contribute effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's technology, culture, and future projects. This not only shows your genuine interest but also gives you a chance to assess if this is the right fit for you. Plus, it demonstrates your proactive approach to understanding the role.
