Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform groundbreaking AI research into real-world applications and scale ML models.
- Company: Fast-growing AI research company in Greater London with a focus on innovation.
- Benefits: Strong compensation, long-term equity, and flexible hybrid working arrangements.
- Why this job: Join a cutting-edge team and make a significant impact in the AI field.
- Qualifications: Solid background in AI/ML, Python skills, and experience in model deployment.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
The predicted salary is between 42000 - 84000 £ per year.
A technology recruitment firm is seeking candidates for a role with a fast-growing AI research company in Greater London. This position involves turning cutting-edge AI research into production systems, scaling ML models, and collaborating with various teams.
Ideal candidates should have a strong background in AI/ML and Python as well as experience deploying models. This opportunity offers strong compensation and long-term equity upside, with hybrid working arrangements.
Hybrid AI Engineer: Deploy ML in Production - Equity employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid AI Engineer: Deploy ML in Production - Equity
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deploying ML models. 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 Python and ML concepts. Practice coding challenges and be ready to discuss your past experiences with deploying models. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Hybrid AI Engineer: Deploy ML in Production - Equity
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI/ML and Python in your application. We want to see how you've turned research into production systems, so share specific examples of your work!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the job description. Mention your experience with deploying models and collaborating with teams, as these are key aspects of the role.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Oliver Bernard
✨Know Your AI and ML Inside Out
Make sure you brush up on the latest trends and breakthroughs in AI and machine learning. Be prepared to discuss specific projects you've worked on, especially those involving model deployment. This will show your passion and expertise in the field.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Understand the Company’s Research
Do some homework on the AI research company you're interviewing with. Familiarise yourself with their recent projects and publications. This not only shows your interest but also allows you to ask insightful questions during the interview.
✨Prepare for Team Collaboration Questions
As this role involves working with various teams, expect questions about collaboration and communication. Think of examples where you've successfully worked in a team setting, particularly in deploying ML models or similar projects. Highlight your ability to adapt and work well with others.
