Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the creation of a new AI capability and deliver innovative solutions.
- Company: Global engineering consultancy with a focus on cutting-edge technology.
- Benefits: Up to £120,000 salary, bonuses, hybrid work, and private medical care.
- Other info: Exciting opportunity for career progression into leadership roles.
- Why this job: Shape the future of AI while working directly with clients and making an impact.
- Qualifications: Strong AI/ML engineering experience and proficiency in ML frameworks.
The predicted salary is between 120000 - 120000 £ per year.
You’ll play a key role in building and shaping a brand-new AI capability within a well-established, global engineering and technology consultancy. You’ll operate as a senior, hands-on AI engineer, delivering production-grade solutions while helping define the AI offering. This is a unique opportunity to establish an AI sub-practice from the ground up, combining technical delivery with client-facing work including demos, presentations, and solution design. This isn’t just delivery behind the scenes; you’ll be a visible, trusted partner helping customers adopt AI in a practical, commercially valuable way.
Stack: Python, PyTorch, LLMs, TensorFlow, scikit-learn, MLOps tooling
What do you need?
- Strong experience as an AI Engineer / ML Engineer delivering production systems
- Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Proven experience deploying models into live environments
- Strong understanding of data and AI system architecture
- Cloud experience (Azure, AWS or GCP)
- Ability to engage with clients, deliver demos, and communicate complex ideas clearly
What do you get?
- Bonus
- Hybrid working
- Private Medical
- Healthcare
- Life assurance
- Opportunity to shape and grow a new AI practice
- Clear progression into leadership as the function scales
Please apply to know more!
Principal AI Engineer employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Principal AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, or TensorFlow. We recommend sharing your work on GitHub or even writing blog posts about your experiences to demonstrate your expertise and passion for AI.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI engineering. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your technical skills and client engagement strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals to help us shape the future of AI, so make sure you put your best foot forward!
We think you need these skills to ace Principal AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and ML frameworks like PyTorch and TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience in deploying models and working with cloud platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about building a new AI capability with us. Share specific examples of your past work that demonstrate your ability to engage with clients and deliver impactful solutions.
Showcase Your Communication Skills: Since this role involves client-facing work, we’d love to see how you communicate complex ideas. Whether it’s through your CV or cover letter, make sure to highlight any experience you have in delivering demos or presentations that made a difference.
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’re considered for this exciting opportunity to shape and grow our new AI practice!
How to prepare for a job interview at RevTech
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and TensorFlow. Brush up on your hands-on experience with these frameworks, as you’ll likely be asked to discuss specific projects or challenges you've faced using them.
✨Showcase Your Client Engagement Skills
Since this role involves client-facing work, prepare examples of how you've successfully communicated complex AI concepts to non-technical stakeholders. Think about times when you delivered demos or presentations that made a real impact.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss how you've deployed models into live environments and tackled any issues that arose. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Understand the Business Value of AI
Research how AI can drive commercial value for businesses. Be prepared to discuss how you can help clients adopt AI in practical ways that align with their goals. This will show that you’re not just technically skilled but also understand the bigger picture.