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 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 Python skills and experience in delivering production 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.
Principal AI Engineer in City of London employer: Synapri
Join a leading global consulting business that values innovation and collaboration, offering a dynamic work culture where you can thrive as a Principal AI Engineer. With a focus on employee growth, you'll have the opportunity to build and mentor a talented team while working on cutting-edge AI solutions in a hybrid environment based in London. Enjoy competitive salaries, performance bonuses, and the chance to make a real impact in transforming client challenges into scalable AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land 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. A personal recommendation can go a long way in landing that Principal AI Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past AI/ML projects. When you get the chance to chat with potential employers, having tangible examples of your work will make you stand out.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to AI systems and MLOps. The more comfortable you are discussing your expertise, the more confident you'll appear to interviewers.
✨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 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 match the Principal AI Engineer role. Highlight your hands-on experience with AI/ML systems and any consultancy work, even if it's not a must-have.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled real business challenges with AI solutions and how you can mentor others in the team.
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 chops, so be clear about your experience with MLOps and cloud platforms too!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get the ball rolling!
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've acted as a trusted advisor and how you guided clients through their decision-making process.
✨Demonstrate Your Leadership Potential
As you'll be building a team from scratch, highlight any mentoring or leadership experiences you've had. 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.
