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- Tasks: Lead complex AI projects and make architectural decisions using your technical expertise.
- Company: A top AI solutions provider in Greater London with a focus on responsible AI.
- Benefits: Unlimited annual leave, flexible working arrangements, and a competitive benefits package.
- Why this job: Join a pioneering team and shape the future of responsible AI technology.
- Qualifications: Strong Python skills, cloud experience, and team management background.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI solutions provider in Greater London is seeking a Lead Machine Learning Engineer to spearhead complex AI projects. You will apply your technical expertise across various projects and ensure sound architectural decisions.
The ideal candidate has strong Python skills, experience with major Cloud providers, and a background in managing engineering teams.
This role offers a competitive benefits package, including unlimited annual leave and flexible working arrangements.
Lead ML Engineer - Build Responsible AI (Hybrid) in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer - Build Responsible AI (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for a Lead ML Engineer role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and Cloud technologies. 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 your technical knowledge and leadership experience. Be ready to discuss how you've made architectural decisions in past projects and how you’ve managed teams effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead ML Engineer - Build Responsible AI (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience you have with major Cloud providers. We want to see how your technical skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in managing engineering teams and how it relates to leading AI projects. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the Lead ML Engineer position.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant frameworks. Be ready to discuss your previous projects in detail, especially those involving complex AI solutions. This will show that you not only understand the theory but can also apply it practically.
✨Cloud Knowledge is Key
Since the role involves working with major Cloud providers, ensure you’re familiar with their services and how they relate to machine learning. Prepare to talk about your experience with cloud architectures and how you've leveraged them in past projects.
✨Showcase Your Leadership Skills
As a Lead ML Engineer, you'll be managing teams. Be prepared to share examples of how you've successfully led engineering teams in the past. Highlight your approach to mentoring and guiding team members, as well as how you handle challenges within a team setting.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to responsible AI and how they envision the role evolving. This shows your genuine interest in the position and helps you assess if the company aligns with your values.
