Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 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.
- Qualifications: Strong software engineering skills and experience in AI/ML systems.
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 in London employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager of Artificial Intelligence in 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. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python, MLOps, or any 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 client-facing scenarios! Brush up on your communication skills and be ready to discuss how you can guide clients through the discovery phase and provide valuable insights. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Manager of Artificial Intelligence in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Manager of Artificial Intelligence. 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 past work and how it relates to the responsibilities outlined in the job description. We love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python and any frameworks like PyTorch or TensorFlow. We’re keen to see your hands-on experience, so be sure to mention any production-grade AI solutions you’ve delivered.
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 make sure your application gets to the right people. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Synapri
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML systems. Be ready to discuss your experience with frameworks like PyTorch, TensorFlow, or Scikit-Learn, and how you've implemented MLOps best practices in past projects.
✨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've acted as a trusted advisor and how you guided clients through the discovery phase.
✨Demonstrate Leadership Potential
This position is about building a team from the ground up, so be ready to talk about your mentoring experiences. Share specific instances where you've guided engineers or data scientists, and how you plan to foster a collaborative environment.
✨Stay Current with Emerging Technologies
Familiarise yourself with the latest trends in AI, such as LLMs and GenAI. Be prepared to discuss how these technologies can add value to clients and how you've evaluated and introduced new tech in your previous roles.