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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 hybrid work model.
- Other info: Flexible start date and opportunities for professional growth.
- Why this job: Shape the future of AI while mentoring a talented team.
- Qualifications: Strong Python skills and experience in AI/ML systems required.
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 Slough employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager of Artificial Intelligence in Slough
✨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 demonstrate your ability to solve real business challenges. 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 technical knowledge and soft skills. Be ready to discuss your experience with MLOps, cloud platforms, and how you've mentored others. Confidence is key, 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 seen. Plus, we love seeing candidates who are proactive about their job search. So, get clicking and show us what you've got!
We think you need these skills to ace Manager of Artificial Intelligence in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. 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 the role. Share specific examples of your hands-on experience and how you’ve tackled real business challenges with AI solutions.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially in Python and frameworks like PyTorch or TensorFlow. We’re keen to see how you’ve implemented MLOps best practices and worked with cloud platforms.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Let’s get started on this exciting journey together!
How to prepare for a job interview at Synapri
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML systems, especially the frameworks mentioned like PyTorch and TensorFlow. Be ready to discuss your hands-on experience and how you've tackled real-world challenges in previous roles.
✨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, guided trade-offs, or provided valuable insights during project phases.
✨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. This will show that you understand the full lifecycle of AI deployment.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI, their tech stack, and how they envision the role evolving. This shows your genuine interest and helps you assess if it's the right fit for you.