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- Tasks: Lead the deployment of AI systems and design scalable ML software.
- Company: Leading technology company in London with a dynamic team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Drive impactful AI solutions and collaborate with diverse teams.
- Qualifications: Strong Python skills and experience with TensorFlow and cloud platforms.
- Other info: Exciting projects with real-world applications in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in London is seeking a Senior Machine Learning Engineer to lead the deployment of AI systems for diverse clients. You will design and implement scalable ML software and infrastructure while collaborating across various teams.
The ideal candidate has strong Python skills, experience with frameworks like TensorFlow, and expertise in cloud platforms such as AWS or Azure.
Join a dynamic team and drive impactful AI solutions.
Senior ML Engineer - Production-Grade AI in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Production-Grade AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and ML. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using Python, TensorFlow, or cloud platforms like AWS or Azure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and frameworks. Practice explaining your past projects and how you tackled challenges. Confidence is key, so let your passion for AI shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior ML Engineer - Production-Grade AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, TensorFlow, and cloud platforms like AWS or Azure. We want to see how your skills align with the role, 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 previous experiences make you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Collaboration Skills: Since this role involves working across various teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing how you can bring people together to drive impactful solutions!
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 a few clicks and you’re done!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get comfortable with frameworks like TensorFlow. Be ready to discuss your past projects in detail, especially those involving scalable ML software and infrastructure.
✨Showcase Your Cloud Expertise
Since the role involves working with cloud platforms like AWS or Azure, be prepared to talk about your experience with these technologies. Have examples ready that demonstrate how you've deployed ML systems in the cloud.
✨Collaboration is Key
This position requires working across various teams, so highlight your teamwork skills. Think of specific instances where you collaborated effectively with others to achieve a common goal in your previous roles.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, as this will show your analytical skills and ability to think on your feet.
