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- Tasks: Lead the development of cutting-edge AI systems and scalable ML software.
- Company: A leading AI firm in the UK with a focus on innovation.
- Benefits: Unlimited annual leave, private healthcare, and a hybrid working model.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong Python skills and experience with cloud platforms required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI firm in the UK is seeking a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI systems. You will design and implement scalable ML software and infrastructure, and work collaboratively across teams.
The ideal candidate has strong Python skills, experience with cloud platforms, and communication abilities to guide technical discussions.
This role offers a hybrid working model and numerous benefits, including unlimited annual leave and private healthcare.
Senior ML Engineer — Lead Production AI at Scale (Hybrid) in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Lead Production AI at Scale (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that highlight your Python prowess and cloud experience. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical discussions! Brush up on your knowledge of scalable ML systems and be ready to discuss your past experiences. We want to see how you think and solve problems, so practice articulating your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Senior ML Engineer — Lead Production AI at Scale (Hybrid) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in developing scalable ML software.
Cloud Experience is Key: If you've worked with cloud platforms, don't hold back! Share specific examples of how you've leveraged these tools to enhance your AI systems. This will really catch our eye.
Communicate Clearly: Since this role involves guiding technical discussions, we need to see your communication skills shine through. Use clear and concise language in your application to demonstrate your ability to convey complex ideas.
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 us!
How to prepare for a job interview at Faculty
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your experience with scalable ML software and infrastructure, as well as any projects you've led. This is your chance to showcase your Python skills and how you've applied them in real-world scenarios.
✨Cloud Platforms Are Key
Since the role involves working with cloud platforms, be prepared to talk about your experience with them. Whether it's AWS, Azure, or Google Cloud, have specific examples ready that demonstrate how you've used these platforms to deploy AI systems effectively.
✨Communication is Crucial
This position requires guiding technical discussions, so practice articulating your thoughts clearly. Think about how you can explain complex ML concepts in simple terms. You might even want to prepare a few examples of how you've successfully communicated with non-technical stakeholders in the past.
✨Embrace the Hybrid Model
With a hybrid working model, show that you're adaptable and can thrive in both remote and in-office settings. Be ready to discuss how you manage your time and collaborate with teams in different environments. Highlight any tools or strategies you use to stay connected and productive.
