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For Companies At a Glance
- Tasks: Design and deliver innovative AI solutions while leading technical projects.
- Company: Leading global engineering consultancy with a focus on cutting-edge technology.
- Benefits: Competitive salary, bonus, ongoing training, and clear career progression.
- Other info: Collaborative culture with opportunities for mentorship and professional growth.
- Why this job: Shape real-world AI solutions and work on high-profile projects that make an impact.
- Qualifications: Strong Python skills and experience in delivering production AI systems.
The predicted salary is between 100000 - 120000 £ per year.
Location: London – 3 days onsite per week
Salary: £100-120k + bonus (10-15%)
We’re working with a leading global engineering and technology consultancy to recruit a Senior Principal AI Engineer to join their growing AI practice. This is a high-impact role combining hands-on engineering, technical leadership, and client-facing delivery across cutting-edge AI programmes. If you’re passionate about building production-grade AI systems and shaping real-world solutions at scale, this could be an excellent next step.
The Role
As a Senior Principal AI Engineer, you’ll play a key role in designing and delivering end-to-end AI solutions within complex client environments. You’ll work closely with stakeholders to translate business challenges into scalable, secure, and responsible AI systems. This role offers a blend of technical depth, strategic input, and client interaction.
Key Responsibilities:
- AI Engineering & Delivery
- Design, build, and deploy end-to-end AI/ML solutions (including generative AI use cases)
- Develop robust, production-ready pipelines covering data ingestion through to deployment and monitoring
- Implement MLOps best practices (CI/CD, model versioning, automated retraining, monitoring)
- Ensure solutions are scalable, secure, and reliable in live environments
- Define solution architectures aligned to client needs and long-term sustainability
- Set and maintain engineering standards across AI delivery
- Evaluate and implement emerging technologies (e.g. GenAI, LLMs, vector databases)
- Work directly with clients to shape AI use cases and assess feasibility
- Lead workshops and technical design sessions
- Act as a trusted advisor on AI strategy, risks, and implementation
- Embed principles such as explainability, bias mitigation, and data privacy
- Ensure compliance with relevant regulations (e.g. GDPR)
- Mentor engineers and data scientists
- Contribute to internal best practices, tools, and reusable frameworks
About You
- Strong software engineering background (Python essential)
- Proven experience delivering production AI/ML systems
- Hands-on experience with frameworks such as PyTorch, TensorFlow, or scikit-learn
- Solid understanding of MLOps and deploying models into live environments
- Cloud platform experience (Azure, AWS, or GCP)
- Excellent communication skills, with the ability to engage non-technical stakeholders
What’s on Offer
- Opportunity to work on high-profile, cutting-edge AI projects
- Collaborative and forward-thinking engineering culture
- Ongoing learning and development, including access to structured training programmes
- Clear career progression within a growing AI capability
- Competitive salary and benefits package
Senior Principal AI Engineer in London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common AI engineering questions. Brush up on your technical knowledge and be ready to discuss your past projects in detail. We want you to shine when it comes to demonstrating your expertise!
✨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 Senior Principal AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Principal AI Engineer role. Highlight your hands-on engineering experience and any client-facing projects you've worked on, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our team. Share specific examples of your work in AI/ML systems and how you've tackled real-world challenges.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any frameworks like PyTorch or TensorFlow. We want to see your technical depth, so include relevant projects that demonstrate your expertise in building production-grade AI solutions.
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 in our growing AI practice.
How to prepare for a job interview at RevTech
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML frameworks like PyTorch and TensorFlow. Be ready to discuss your hands-on experience with production-grade systems and how you've tackled real-world challenges in previous roles.
✨Showcase Your Leadership Skills
As a Senior Principal AI Engineer, you'll need to demonstrate your ability to lead technical discussions and mentor others. Prepare examples of how you've guided teams or influenced project outcomes, especially in client-facing situations.
✨Understand the Client's Needs
Research the company and its clients before the interview. Think about how you can translate their business challenges into scalable AI solutions. Being able to articulate this will show that you're not just technically savvy but also client-focused.
✨Discuss Responsible AI Practices
Be prepared to talk about responsible AI principles, such as explainability and bias mitigation. Highlight any experience you have with compliance regulations like GDPR, as this is crucial for the role and shows your commitment to ethical AI development.