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- Tasks: Build and deploy AI-driven features that power real-world products.
- Company: Innovative tech firm at the forefront of AI development.
- Benefits: Up to £120k base salary, equity, and hybrid work model.
- Why this job: Join a team creating impactful AI solutions and take ownership of projects.
- Qualifications: Strong Python skills and experience with modern ML/AI frameworks.
- Other info: Dynamic environment with opportunities for career growth in a collaborative setting.
The predicted salary is between 72000 - 84000 £ per year.
They’re building intelligent systems that sit at the core of real-world products, not demos.
Up to £120k base + Equity
Hybrid: 2 days/week, Liverpool Street
The role:
- Build and deploy AI-driven features used in production
- Work closely with researchers, product and engineering teams
- Take models from experimentation through to scalable systems
What they’re looking for:
- Strong experience in Python and modern ML/AI frameworks
- Experience shipping AI models into real products
- Curious, product-minded engineer who enjoys ownership
Apply for more information.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Data Infrastructure and Analytics, IT Services and IT Consulting, Research Services
AI Engineer in England employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your projects! Create a portfolio showcasing your AI-driven features and models. This is your chance to demonstrate your skills and passion for building real-world products, not just demos.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and ML frameworks. Practice coding challenges and be ready to discuss how you've shipped AI models into production. 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 seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer in England
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your curiosity and product-minded approach can contribute to building intelligent systems that make a real impact.
Highlight Relevant Experience: Make sure to showcase your strong experience in Python and any modern ML/AI frameworks you've worked with. We’re looking for someone who has successfully shipped AI models into real products, so don’t hold back on those details!
Tailor Your Application: Take the time to tailor your application to our job description. Mention specific projects or experiences that align with the role, especially those that demonstrate your ability to take models from experimentation to scalable systems.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better, so don’t miss out on that opportunity!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the latest ML/AI frameworks. Brush up on your past projects where you’ve shipped AI models into real products, as this will show your practical experience and understanding of the tech.
✨Show Your Curiosity
Demonstrate your curiosity and product-minded approach during the interview. Ask insightful questions about their current projects and how they integrate AI into their products. This shows you’re genuinely interested and ready to take ownership.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and knowledge of AI systems. Practice explaining your thought process clearly and concisely, as communication is key when working with cross-functional teams.
✨Highlight Collaboration Skills
Since the role involves working closely with researchers and engineering teams, be ready to discuss your experience collaborating with others. Share examples of how you’ve successfully worked in a team to bring AI-driven features to life.
