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- Tasks: Lead the design and delivery of cutting-edge AI solutions for complex client environments.
- Company: Global consulting business with a focus on innovative AI technologies.
- Benefits: Competitive salary, bonus, hybrid work model, and opportunities for mentorship.
- Other info: Build a capable team and enjoy excellent career growth in a dynamic environment.
- Why this job: Make a real impact by turning business challenges into scalable AI systems.
- Qualifications: Strong software engineering skills, experience in AI/ML, and client-facing abilities.
The predicted salary is between 90000 - 120000 ÂŁ per year.
Work model: hybrid – 2-3 days per week onsite
Salary: ÂŁ90,000 - ÂŁ120,000 + 10-15% bonus
Start date: ASAP but can be flexible depending on individual notice period
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 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 re‑training, 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)
If this fits your experience and skill set, please apply for immediate consideration.
Senior Principal AI Engineer in London employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and consultancy space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, let us see your hands-on experience with frameworks like PyTorch or TensorFlow. This is your chance to shine!
✨Tip Number 3
Prepare for those client-facing scenarios! Brush up on your communication skills and think about how you’d explain complex AI concepts to non-techies. We want to see you as a trusted advisor, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are ready to tackle real business challenges with us.
We think you need these skills to ace Senior Principal AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Principal AI Engineer role. Highlight your hands-on experience with AI/ML systems and any consultancy work, even if it's not extensive.
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 designed and deployed AI solutions, and don't forget to mention your client-facing experience!
Showcase Your Technical Skills: Since we're looking for someone with a strong software engineering foundation, make sure to list your proficiency in Python and any frameworks like PyTorch or TensorFlow. We want to see your technical chops shine through!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity as soon as possible!
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 have examples of how you've implemented MLOps best practices in past projects.
✨Showcase Your Client-Facing Skills
Since this role involves client interaction, prepare to demonstrate your ability to communicate complex technical concepts clearly. Think of scenarios where you've successfully advised clients or led discussions during the discovery phase.
✨Be Hands-On with Your Experience
Highlight your hands-on experience in designing and deploying end-to-end AI/ML systems. Be specific about the challenges you faced and how you overcame them, especially in terms of scalability and security.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your software engineering foundation, particularly in Python. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your practical abilities.