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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 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.
Manager, Implementation Consulting in London employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Implementation Consulting in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI/ML systems. We recommend doing mock interviews with friends or using online resources to sharpen your responses. The more comfortable you are, the better you'll perform!
✨Tip Number 3
Showcase your skills through a portfolio! If you've worked on any AI projects, make sure to highlight them. We suggest creating a GitHub repository or a personal website to display your work. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Make sure to tailor your application to highlight your client-facing experience and technical skills, as these are key for the role.
We think you need these skills to ace Manager, Implementation Consulting in London
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 consultancy work you've done, even if it's not in a formal consulting role.
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 contribute to our team.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with frameworks like PyTorch or TensorFlow. We want to see your technical prowess, so include any relevant projects or achievements that demonstrate your capabilities.
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 frameworks like PyTorch and TensorFlow. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Consultancy Skills
Even if you don't have direct consultancy experience, think about times you've worked closely with clients. Prepare examples where you've acted as a trusted advisor, guiding them through complex decisions or implementations.
✨Demonstrate MLOps Mastery
Be prepared to talk about MLOps best practices. Discuss your experience with CI/CD, automated retraining, and how you've ensured that your AI solutions are scalable and secure. Real-life examples will make your points more impactful.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI, their team dynamics, and how they envision the role evolving. This shows you're genuinely interested and helps you assess if it's the right fit for you.