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- Tasks: Lead teams to design and implement advanced AI and Machine Learning systems.
- Company: Top consulting firm in Manchester with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by driving business success through cutting-edge AI solutions.
- Qualifications: Consulting experience and expertise in scaling AI systems are essential.
- Other info: Join a dynamic team committed to ethical AI practices.
The predicted salary is between 48000 - 72000 £ per year.
A leading consulting firm in Manchester is seeking a Lead AI Engineer to design and operationalize advanced AI and Machine Learning systems. The role entails leading multi-disciplinary teams to deliver AI solutions that drive business impact, utilizing technologies like Azure, GCP, and AWS.
Ideal candidates should have:
- a consulting background
- experience in AI implementations
- a strong capability to scale AI systems effectively
A focus on ethical and responsible AI practices is essential.
Lead GenAI & MLOps Architect for Enterprise AI in Manchester employer: Capgemini Invent
Contact Detail:
Capgemini Invent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead GenAI & MLOps Architect for Enterprise AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI and MLOps projects. Use platforms like GitHub to share your work and demonstrate your expertise in Azure, GCP, and AWS. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on ethical AI practices and real-world applications of your skills. Be ready to discuss how you've led teams and delivered impactful solutions. We love hearing about your hands-on experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and making a difference in the AI space.
We think you need these skills to ace Lead GenAI & MLOps Architect for Enterprise AI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead GenAI & MLOps Architect role. Highlight your consulting background and any relevant AI implementations you've led, as this will show us you're a great fit for the position.
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 experience with Azure, GCP, and AWS can help us drive business impact. Don’t forget to mention your commitment to ethical AI practices!
Showcase Your Team Leadership Skills: Since this role involves leading multi-disciplinary teams, be sure to include examples of your leadership experience in your application. We want to see how you’ve successfully guided teams to deliver impactful AI solutions in the past.
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 regarding the hiring process!
How to prepare for a job interview at Capgemini Invent
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, GCP, and AWS. Brush up on the specific tools and technologies you’ve used in past projects. Being able to discuss your hands-on experience with these platforms will show that you’re not just familiar with them but can actually leverage them to drive business impact.
✨Showcase Your Consulting Experience
Since this role is with a consulting firm, be prepared to share examples of how you've successfully led multi-disciplinary teams in previous roles. Highlight your ability to communicate complex AI concepts to non-technical stakeholders, as this will demonstrate your consulting prowess.
✨Emphasise Ethical AI Practices
Given the focus on ethical and responsible AI, come prepared with examples of how you’ve implemented ethical considerations in your AI projects. Discuss any frameworks or guidelines you follow to ensure that your AI solutions are fair and transparent.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you’ve faced in scaling AI systems and how you overcame them. This will help you illustrate your strategic thinking and adaptability during the interview.
