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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 growth.
- Why this job: Shape real-world AI solutions and work on high-profile projects.
- 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 City of London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your passion for AI.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. Practice explaining complex AI concepts in simple terms, as you'll need to engage with non-technical stakeholders.
✨Tip Number 3
Showcase your work! Create a portfolio of your AI projects, including any generative AI use cases you've worked on. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles that match your skills. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior 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 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 complex challenges in the past.
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 AI and ML knowledge, especially around the frameworks mentioned like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've tackled challenges in building production-grade AI systems.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, think of examples where you've led a team or project. Prepare to talk about how you've mentored others and set engineering standards in previous roles.
✨Engage with Real-World Scenarios
Be prepared to discuss how you would approach real client challenges. Think about how you can translate business needs into scalable AI solutions and be ready to share your thoughts on responsible AI practices.
✨Communicate Clearly
Excellent communication is key, especially when dealing with non-technical stakeholders. Practice explaining complex concepts in simple terms and be ready to demonstrate your ability to engage clients effectively.