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- Tasks: Lead AI delivery projects and implement cutting-edge AI/ML solutions.
- Company: Global organisation with a focus on innovation and technology.
- Benefits: Permanent role with opportunities for career advancement and skill development.
- Other info: Join a dynamic team fostering innovation and excellence in AI delivery.
- Why this job: Make a real impact by transforming AI from prototypes to production-ready services.
- Qualifications: Experience in AI/ML, cloud platforms, and strong technical skills in Python and related libraries.
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.
- Strong background within leading end to end implementation of AI/ML and Generative AI solutions.
- Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services.
- Ideally you will have strong technical understanding within Python, PyTorch, TensorFlow, and specialised Generative AI libraries.
- Determine where AI adds genuine value and where simpler, traditional engineering approaches are more effective for the client’s mission.
- 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.
- 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 & Justice clients.
- Design and implement comprehensive evaluation, monitoring, and observability frameworks to track AI performance and system health in real-time.
This represents an excellent opportunity to secure a permanent role within a high profile organisation.
Associate Director & AI Delivery Lead in England 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 in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or industry events where you can chat with folks who might know about job openings. Remember, 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, especially those involving Generative AI. This is your chance to demonstrate your technical prowess in Python, PyTorch, and TensorFlow. Make sure it’s easy to access and share with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex AI concepts to non-technical stakeholders, so practice breaking down your knowledge into simple terms. We want you to shine and build confidence in your abilities!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role you’re after. Let’s get you that dream job!
We think you need these skills to ace Associate Director & AI Delivery Lead in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with AI/ML and Generative AI solutions, and don’t forget to mention your familiarity with cloud platforms like AWS, Azure, or GCP. We want to see how your skills align with what we’re looking for!
Showcase Your Technical Skills: When detailing your technical background, be specific about your experience with Python, PyTorch, TensorFlow, and any Generative AI libraries. We love seeing concrete examples of how you've used these tools in past projects, so don’t hold back!
Communicate Clearly: Remember, you’ll need to explain complex concepts to non-technical stakeholders. Use clear, straightforward language in your application to demonstrate your ability to bridge the gap between tech and business. We appreciate clarity just as much as technical prowess!
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’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Experis UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML and Generative AI solutions. Be ready to discuss your experience with Python, PyTorch, and TensorFlow, as well as any specific libraries you've used. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Understand the Business Impact
Be prepared to explain how AI can add value to a business. Think about examples where you've determined the right approach—whether it was AI or traditional engineering—to solve a problem. This will demonstrate your ability to align technical solutions with business objectives.
✨Communicate Like a Pro
You’ll need to convey complex technical ideas to non-technical stakeholders. Practice simplifying your explanations without losing the essence of what you want to communicate. This skill is crucial for building confidence in AI-driven transformations.
✨Show Leadership Skills
Highlight your experience in leading cross-functional teams and fostering a culture of innovation. Be ready to share specific examples of how you've upskilled team members or managed technical risks. This will showcase your ability to oversee delivery while aligning with project goals.