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- Tasks: Lead the development of innovative AI solutions and design scalable ML systems.
- Company: A leading AI company in London with a focus on innovation.
- Benefits: Unlimited annual leave, hybrid working model, and excellent perks.
- Why this job: Join a dynamic team and make a real impact in the AI field.
- Qualifications: Experience with ML frameworks, cloud platforms, and strong communication skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI company in London is seeking a Senior Machine Learning Engineer to lead the development of innovative AI solutions. The role involves designing scalable ML systems and collaborating with various teams to solve critical challenges.
The ideal candidate has substantial experience with ML frameworks, cloud platforms, and excellent communication skills.
This position offers a hybrid working model with excellent benefits, including unlimited annual leave.
Senior ML Engineer — Build Production‐Grade AI at Scale in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Build Production‐Grade AI at Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects. We recommend including any innovative solutions you've developed, as this will help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with ML frameworks and cloud platforms. We suggest practising common interview questions with a friend to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Senior ML Engineer — Build Production‐Grade AI at Scale in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML frameworks and cloud platforms. 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 you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Communication Skills: Since collaboration is key in this role, make sure to demonstrate your communication skills in your application. Whether it’s through your writing style or examples of teamwork, let us know how you connect with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications 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 Frameworks
Make sure you brush up on the specific machine learning frameworks mentioned in the job description. Be ready to discuss your experience with them and how you've used them to solve real-world problems. This shows you're not just familiar but also proficient.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, prepare examples of past collaborations. Think about how you’ve worked with cross-functional teams to tackle challenges. Highlighting your communication skills will demonstrate that you can effectively bridge gaps between technical and non-technical stakeholders.
✨Understand Scalable Systems
Be prepared to discuss your experience in designing scalable ML systems. Bring examples of projects where you’ve successfully implemented scalable solutions. This will show that you understand the complexities involved and can contribute to building production-grade AI at scale.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects and future goals. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career aspirations. Plus, it makes for a more engaging conversation!
