At a Glance
- Tasks: Develop and implement advanced AI systems while collaborating with top researchers.
- Company: Exciting YC-backed start-up at the forefront of AI technology.
- Benefits: Competitive salary up to £150,000 plus equity and on-site work in London.
- Other info: Dynamic environment with opportunities for significant career growth.
- 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 - London - YC-backed Start-up in Slough 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 exceptional engineers and researchers on complex technical challenges. Embrace your potential for growth in a supportive environment that values creativity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer - London - YC-backed Start-up in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 potential employers a taste of what you can do and set you apart from the crowd.
✨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 projects in detail. We all know that 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. Plus, we love hearing from passionate candidates who are eager to join our innovative team.
We think you need these skills to ace Research Engineer - London - YC-backed Start-up in Slough
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. Don’t forget to mention any relevant experiences that showcase your problem-solving skills.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving machine learning or data systems, make sure to include them. We love seeing practical applications of theoretical concepts, so share your journey from idea to deployment!
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 don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
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 is your chance to show off your technical skills!
✨Showcase Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your strong problem-solving abilities and how you can apply them in a real-world context.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Being able to articulate how your skills align with their goals will impress the interviewers. Show that you're not just looking for any job, but that you're genuinely interested in contributing to their cutting-edge technology.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about their current projects, team dynamics, or future challenges they foresee. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
