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- Tasks: Lead the delivery of innovative AI and ML platforms while managing operational excellence.
- Company: Dynamic tech company in Greater London focused on cutting-edge AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a diverse team making a real impact with AI technology.
- Qualifications: 8+ years in machine learning, strong leadership, and cloud platform expertise.
- Other info: Be part of a forward-thinking environment dedicated to innovation.
The predicted salary is between 48000 - 72000 £ per year.
A technology company based in the Greater London area is seeking a skilled ML Engineering Manager to lead the delivery of cutting-edge AI and ML platforms. In this role, you will set technical direction, manage operational excellence, and champion best practices in MLOps.
The ideal candidate will have over eight years of experience in machine learning, proven leadership skills, and expertise with cloud platforms such as GCP. Join a diverse team dedicated to leveraging AI for impactful solutions.
ML Platform Lead - MLOps & Agentic AI Architect employer: ON.com
Contact Detail:
ON.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Platform Lead - MLOps & Agentic AI Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to MLOps and AI. 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 technical questions and real-world scenarios. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace ML Platform Lead - MLOps & Agentic AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing your leadership experience and cloud platform expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and ML, and how you can contribute to our mission. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool AI or ML projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they demonstrate your ability to lead and innovate.
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!
How to prepare for a job interview at ON.com
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies in machine learning and MLOps. Brush up on your experience with cloud platforms like GCP, as you’ll likely be asked to discuss specific projects where you’ve applied these skills.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you’ve led a team through challenges or implemented best practices in ML delivery. This will demonstrate your capability to manage operational excellence.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Be ready to discuss how your expertise aligns with their goals, especially in leveraging AI for impactful solutions. This shows you’re not just looking for any job, but are genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask at the end of the interview. Inquire about their current challenges in MLOps or how they envision the future of AI within the company. This not only shows your interest but also your strategic thinking.
