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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 in a dynamic environment.
- Why this job: Shape the future of AI while mentoring a talented team and solving real-world challenges.
- Qualifications: Strong software engineering skills, experience in AI/ML systems, and client-facing abilities.
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 of Artificial Intelligence employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager of Artificial Intelligence
✨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. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that highlight your hands-on experience with frameworks like PyTorch or TensorFlow. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your consultancy skills. Practice explaining complex AI concepts in simple terms, as you'll need to be comfortable in client-facing situations. Remember, it's all about making those techy ideas relatable!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team and contributing to exciting AI solutions.
We think you need these skills to ace Manager of Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI/ML systems and any client-facing roles you've had. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background makes you a perfect fit. Don’t forget to mention your hands-on experience with frameworks like PyTorch or TensorFlow.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to design and deploy AI solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Synapri
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and ML, especially around generative AI and MLOps. Be ready to discuss your hands-on experience with frameworks like PyTorch or TensorFlow, and how you've implemented production-grade systems in the past.
✨Showcase Your Client-Facing Skills
Since this role involves a lot of client interaction, prepare examples of how you've successfully communicated complex technical concepts to non-technical stakeholders. Think about times when you acted as a trusted advisor and how you guided clients through their decision-making process.
✨Demonstrate Leadership Potential
As you'll be building a team from scratch, highlight any previous mentoring or leadership experiences. Share specific instances where you've guided engineers or data scientists, and how you fostered a collaborative environment.
✨Prepare for Technical Challenges
Expect some technical questions or case studies during the interview. Practice explaining your thought process for designing scalable and secure AI architectures, and be ready to discuss how you would approach real-world business challenges using AI solutions.