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- Tasks: Lead the design and operation of secure AI environments while mentoring a team of engineers.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, generous pension, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in AI development and shape the future of technology.
- Qualifications: Experience in AI/ML solutions, cloud platforms, and team leadership.
- Other info: Dynamic hybrid work environment with a focus on innovation and ethical AI practices.
The predicted salary is between 90000 - 90000 £ per year.
We are seeking an experienced AI Platform Lead to help design, build and operate secure AI development and production environments, supporting a growing portfolio of machine learning and generative AI solutions. This role combines hands‑on engineering with technical leadership, including support for a small team of AI engineers. You will work across infrastructure, deployment, model integration and experimentation to deliver scalable, reliable and secure AI capabilities that improve efficiency, decision‑making and service delivery.
Key responsibilities:
- Build, operate and maintain AI development and production environments using Azure services, including AI, ML and GenAI workloads.
- Design and manage CI/CD and MLOps pipelines to support model development, deployment, monitoring and lifecycle management.
- Provision and secure cloud environments using Infrastructure as Code, with a strong focus on automation, compliance and best practice.
- Develop and integrate AI applications and services, including classical ML, NLP, RAG and generative AI solutions.
- Support experimentation and proof‑of‑concept work through secure AI sandboxes and evaluation of emerging tools and platforms.
- Monitor, optimise and retrain models in production, ensuring strong performance, reliability, safety and cost effectiveness.
- Apply cloud security, identity and access controls, data governance and Responsible AI principles across all solutions.
- Provide technical leadership, mentoring and workload coordination for a small team of AI engineers.
- Produce clear documentation covering architecture, workflows, data flows and operational procedures.
Location: Hybrid, with regular attendance required at an office in London or Newcastle.
What we are looking for:
- Proven experience building and deploying AI/ML solutions in production.
- Strong background in AI infrastructure, cloud platforms, CI/CD, containerisation and MLOps.
- Hands‑on experience with Azure and related services.
- Ability to work with data scientists, engineers and business stakeholders.
- Experience leading or mentoring technical team members.
- Strong understanding of Responsible AI, data privacy and ethical considerations.
If you are interested in the role, then please apply or reach out.
AI Platform Lead employer: Vivo Talent
Contact Detail:
Vivo Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Azure and MLOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI infrastructure and cloud services. Practice explaining your past projects and how you’ve tackled challenges in a clear, concise way.
✨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!
We think you need these skills to ace AI Platform Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions and cloud platforms like Azure. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: In your application, be sure to mention specific tools and technologies you’ve worked with, especially around CI/CD, MLOps, and automation. We’re looking for hands-on experience, so let us know what you’ve built and how you did it!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Vivo Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure services and MLOps practices. Brush up on your knowledge of CI/CD pipelines and how to manage AI workloads. Being able to discuss specific projects where you've implemented these technologies will really impress the interviewers.
✨Showcase Your Leadership Skills
Since this role involves mentoring a small team, be prepared to share examples of how you've led or supported others in previous positions. Talk about your approach to technical leadership and how you’ve helped team members grow their skills.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle real-world challenges, like optimising models in production or ensuring compliance with data governance. Think through some scenarios beforehand and be ready to explain your thought process and decision-making.
✨Demonstrate Your Passion for Responsible AI
This role requires a strong understanding of ethical considerations in AI. Be ready to discuss your views on Responsible AI and how you’ve applied these principles in your work. Showing that you care about the implications of AI technology will resonate well with the interviewers.