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- Tasks: Lead AI/ML projects, manage teams, and deliver innovative solutions.
- Company: Global organisation focused on cutting-edge AI technology.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Join a culture of innovation with opportunities for professional development.
- Why this job: Make a real impact in AI while leading talented teams.
- Qualifications: Experience in AI delivery, team management, and cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
Our client, a global organisation, urgently require an experienced AI Delivery Lead to join their expanding team on a permanent basis. In order to be successful, you will have the following experience:
- Strong background within leading end to end implementation of AI/ML and Generative AI solutions
- Experience within pre-sales, sales or consulting
- Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services
- Experience of managing teams of 15-20 people
- Ideally you will have strong technical understanding within Python, PyTorch, TensorFlow, and specialised Generative AI libraries
- SC Cleared is essential as a minimum
Within this role, you will be responsible for:
- Determine where AI adds genuine value and where simpler, traditional engineering approaches are more effective for the client’s mission.
- Convert high-level client requirements into detailed technical roadmaps and actionable engineering tasks.
- Proactively identify and manage technical risks, including security vulnerabilities and deployment bottlenecks to drive timely delivery.
- Shift AI from experimental prototypes to hardened, production-ready services that meet the high security and reliability standards of our clients.
- Oversee technical teams throughout delivery, ensuring that engineering efforts align with broader project goals and delivery timelines.
- Communicate complex technical concepts to non-technical senior stakeholders, building confidence in AI-driven transformations.
- Lead and upskill cross-functional teams of data scientists and engineers, fostering a culture of innovation and engineering excellence.
- Design scalable, secure, and production-ready architecture that integrate LLMs and ML models into complex enterprise workflows.
- Oversee the full technical lifecycle, from selecting the right model architecture to ensuring robust CI/CD and MLOps pipelines.
- Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.
- Implement frameworks and approaches to evaluate model performance against business objectives, both pre-deployment and on an ongoing basis as part of the MLOps lifecycle.
- Assess and optimise for performance, cost-efficiency, and reliability, ensuring AI outputs meet the rigorous standards required for our Security.
Associate Director & AI Delivery Lead employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director & AI Delivery Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend industry events, webinars, or meetups to meet potential employers and showcase your expertise. Remember, it’s all about who you know!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI/ML. Be ready to discuss your past projects and how you've led teams to success. We want to see your passion and knowledge shine through!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and match your skill set. Tailor your approach to each opportunity for the best chance of landing that interview!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Share any additional thoughts or insights you have about the role or company. It shows your enthusiasm and commitment!
We think you need these skills to ace Associate Director & AI Delivery Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your background in AI/ML and any relevant cloud platforms you've worked with. We want to see how your experience aligns 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 Associate Director & AI Delivery Lead role. Share examples of how you've led teams and delivered successful AI projects, and don't forget to show your passion for innovation.
Showcase Your Technical Skills: Since this role requires a strong technical understanding, make sure to include your proficiency in Python, PyTorch, TensorFlow, and any Generative AI libraries. We love seeing candidates who can bridge the gap between technical and non-technical stakeholders!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Experis UK
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI/ML and Generative AI solutions. Be ready to discuss specific projects you've led, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since you'll be managing teams of 15-20 people, it's crucial to highlight your leadership experience. Prepare examples of how you've successfully led cross-functional teams, fostered innovation, and ensured alignment with project goals. This will demonstrate your capability to lead effectively in a complex environment.
✨Communicate Like a Pro
You'll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations without losing the essence of the technology. Use analogies or real-world examples to make your points clearer and more relatable.
✨Be Ready for Technical Questions
Expect in-depth questions about your technical skills, especially around Python, PyTorch, TensorFlow, and cloud platforms like AWS and Azure. Brush up on these technologies and be prepared to discuss how you've used them in past projects, including any specific libraries related to Generative AI.