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- Tasks: Lead the development of innovative AI systems and deploy scalable ML software.
- Company: A top AI solutions provider in the UK with a focus on ethical standards.
- Benefits: Flexible remote or hybrid work options and competitive salary.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Experience with TensorFlow or PyTorch and strong software engineering skills.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI solutions provider in the UK is seeking a Senior Machine Learning Ops Engineer to lead the development of cutting-edge AI systems. The role involves designing, building, and deploying scalable ML software and infrastructure while ensuring compliance with ethical standards.
Ideal candidates will have experience in operationalizing models using TensorFlow or PyTorch and strong software engineering and communication skills. This position offers flexibility in remote or hybrid work arrangements.
Senior ML Ops Engineer - Hybrid/On-Site, Scale AI Systems in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Ops Engineer - Hybrid/On-Site, Scale AI Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or at local meetups. 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 projects, especially those involving TensorFlow or PyTorch. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts clearly, as communication is key in this role. We want to see how you can articulate your ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Ops Engineer - Hybrid/On-Site, Scale AI Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TensorFlow or PyTorch, as well as any relevant software engineering skills. We want to see how your background aligns with the role of a Senior ML Ops Engineer.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for AI and your understanding of ethical standards in ML. This is your chance to tell us why you're the perfect fit for our team!
Showcase Your Projects: If you've worked on any interesting ML projects, be sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
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 this exciting opportunity!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you’re well-versed in TensorFlow and PyTorch, as these are crucial for the role. Brush up on your knowledge of operationalising models and be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Your Communication Skills
As a Senior ML Ops Engineer, you'll need to collaborate with various teams. Prepare examples that highlight your ability to communicate complex technical concepts clearly and effectively. This will demonstrate your fit for the role and how you can bridge gaps between technical and non-technical stakeholders.
✨Understand Ethical Standards
Familiarise yourself with the ethical considerations in AI development. Be prepared to discuss how you ensure compliance with these standards in your work. This shows that you not only care about the technology but also its impact on society.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of challenges you've faced in previous roles and how you overcame them, particularly in building and deploying scalable ML systems. This will help you stand out as a candidate who can think critically under pressure.
