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- 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, hybrid work, private medical, and life assurance.
- Other info: Unique chance to establish an AI sub-practice with excellent growth potential.
- Why this job: Shape the future of AI while working on impactful projects with clients.
- Qualifications: Strong AI/ML engineering experience and proficiency in Python and 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.
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
- Strong experience as an AI Engineer / ML Engineer delivering production systems
- Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Strong understanding of data and AI system architecture
- Cloud experience (Azure, AWS or GCP)
Bonus:
- Hybrid working
- Private Medical
- Life assurance
- Opportunity to shape and grow a new AI practice
Principal AI Engineer in City of London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Principal AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, and TensorFlow. This will give you an edge when demonstrating your hands-on experience during interviews.
✨Tip Number 3
Prepare for the technical grill! Brush up on your knowledge of AI system architecture and MLOps tooling. Be ready to discuss how you've delivered production-grade solutions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a leg up in the process. Let’s get you that dream job!
We think you need these skills to ace Principal AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Principal AI Engineer role. Highlight your hands-on experience with ML frameworks like PyTorch and TensorFlow, and don’t forget to mention any cloud experience you have!
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 how you've delivered production-grade solutions in the past.
Showcase Your Technical Skills: In your application, be sure to showcase your technical prowess. Mention any relevant projects or systems you've worked on, especially those involving AI system architecture or MLOps tooling. We want to see what you can bring to the table!
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 knowledge of MLOps tooling and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced as an AI Engineer and how you overcame them. Use examples that highlight your hands-on experience with production systems and your understanding of AI system architecture.
✨Engage with Client-Facing Scenarios
Since this role involves client interaction, think about how you would present complex AI concepts to non-technical stakeholders. Practice explaining your past projects in a way that demonstrates your ability to communicate effectively and build trust.
✨Demonstrate Your Vision for AI
Be ready to share your thoughts on the future of AI and how you envision shaping the new AI practice. Discuss trends, potential applications, and how you can help customers adopt AI in a commercially valuable way.