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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 arrangements 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: Opportunity to work in a dynamic environment with career growth potential.
The predicted salary is between 43200 - 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 in England employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ml Ops Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or at 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 with 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 those interviews! Brush up on your technical knowledge and be ready to discuss how you've operationalised models in the past. Practice common interview questions 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 keep track of your applications!
We think you need these skills to ace Senior Ml Ops Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TensorFlow or PyTorch, as well as your 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 let us know why you're the perfect fit for our team!
Showcase Your Projects: If you've worked on any relevant projects, be sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to build and deploy scalable ML systems.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role you’re excited about!
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 communicate complex ideas clearly. Prepare examples of how you've effectively collaborated with teams or explained technical concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
✨Understand Ethical Standards
Since compliance with ethical standards is part of the job, be prepared to discuss your understanding of AI ethics. Think about scenarios where you’ve had to consider ethical implications in your work and how you approached them.
✨Be Ready for Problem-Solving Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges or system design problems related to ML infrastructure. This will help you think on your feet and showcase your engineering prowess during the interview.
