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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, 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 43200 - 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those working with AI and ML. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects, especially those using Python and frameworks like TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors to build your confidence.
✨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 seen by the right people.
We think you need these skills to ace Senior ML Engineer - Production-Grade AI in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with ML frameworks like TensorFlow. We want to see how your background aligns 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 excited about the role and how your expertise in cloud platforms like AWS or Azure can benefit us at StudySmarter.
Showcase Your Collaboration Skills: Since this role involves working across various teams, mention any past experiences where you’ve successfully collaborated on projects. We love seeing how you can work with others to drive impactful AI 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 don’t miss out on any important updates from our team!
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 requires experience with cloud platforms like AWS or Azure, prepare to talk about how you've used these tools in previous roles. Have specific examples ready that demonstrate your ability to deploy AI systems effectively.
✨Collaboration is Key
This position involves working across various teams, so be prepared to discuss your experience in collaborative environments. Think of examples where you successfully worked with others to achieve a common goal, particularly in tech-related projects.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI solutions and how they measure success. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
