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- Tasks: Lead the design and delivery of innovative AI solutions for diverse clients.
- Company: Global consulting firm with a focus on cutting-edge technology.
- Benefits: Competitive salary, bonus potential, and flexible hybrid work model.
- Other info: Exciting opportunity for career growth and hands-on involvement in impactful projects.
- Why this job: Shape the future of AI while mentoring a talented team in a dynamic environment.
- Qualifications: Strong Python skills and experience with AI/ML frameworks required.
The predicted salary is between 90000 - 120000 £ per year.
One of our partners, a global consulting business is seeking a Senior Principal AI Engineer to lead the design and delivery of cutting-edge, production-grade AI solutions across complex client environments. This is an exciting opportunity to build a capable team from the ground up and also remain hands-on in turning real business challenges into scalable, secure, and responsible AI systems. Consultancy industry experience is not a must but the type of profile that would excel in this role, is someone who is comfortable in a client facing role and can provide advice through the discovery phase, do demos and work with clients through their capabilities.
What You’ll Do
- Design, develop, and deploy end-to-end AI/ML systems—from ML to generative AI
- Create robust, production-ready pipelines (data ingestion, modelling, deployment, monitoring)
- Implement MLOps best practices including CI/CD, versioning, automated retraining, and rollback
- Ensure solutions are scalable, secure, and high-performing in real-world environments
- Define AI architectures aligned to client needs and long-term sustainability
- Evaluate and introduce emerging technologies (LLMs, GenAI, vector databases) where they add real value
- Act as a trusted advisor, guiding trade-offs and implementation strategies
- Mentor engineers and data scientists through hands-on guidance and reviews
What You Bring
- Strong software engineering foundation (Python essential)
- Proven track record delivering production AI/ML systems
- Hands-on experience with frameworks like PyTorch, TensorFlow, or Scikit-Learn
- Solid understanding of MLOps and model deployment
- Experience working with cloud platforms (Azure, AWS or GCP)
Hybrid work model: 2-3 days/ week in the office (London)
Salary: £90,000 - £120,000 depending on experience + 10-15% bonus
Start date: ASAP but can be flexible depending on individual notice period
If this fits your experience and skill set, please apply for immediate consideration.
Manager. Regulatory Policy in London employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager. Regulatory Policy in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Manager in Regulatory Policy. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI solutions. We suggest you create a few case studies from your past experiences to showcase your problem-solving skills and hands-on expertise.
✨Tip Number 3
Don’t forget to research the company culture and values of the consulting business you're applying to. Tailor your responses to show how your approach aligns with their mission, especially when it comes to client-facing roles.
✨Tip Number 4
Finally, apply through our website for a smoother process! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Manager. Regulatory Policy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Principal AI Engineer. Highlight your experience with AI/ML systems and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your hands-on experience and how you’ve tackled real business challenges with AI solutions.
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially in Python and frameworks like PyTorch or TensorFlow. We’re keen to see how you’ve implemented MLOps best practices and worked with cloud platforms, so make that clear!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at Synapri
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML systems, especially the frameworks mentioned like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've tackled real-world challenges with these technologies.
✨Show Off Your Client Skills
Since this role involves client interaction, think of examples where you've successfully communicated complex technical concepts to non-technical stakeholders. Practice explaining your thought process clearly and confidently.
✨Demonstrate MLOps Mastery
Be prepared to talk about your experience with MLOps best practices. Discuss how you've implemented CI/CD pipelines, automated retraining, and ensured model performance in production. Real-life examples will make your points more impactful.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and their expectations for the role. This shows your genuine interest and helps you gauge if the company aligns with your career goals.