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- Tasks: Design and deploy AI solutions while collaborating with data scientists and engineers.
- Company: Join a leading global organisation at the forefront of technology.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Why this job: Make an impact by turning complex datasets into scalable AI models.
- Qualifications: Strong Python programming skills and experience with TensorFlow or PyTorch.
- Other info: Exciting projects in a dynamic environment with great career advancement potential.
The predicted salary is between 70000 - 95000 £ per year.
A leading global organization is looking for a Machine Learning Engineer to design and deploy AI solutions. This role involves working closely with data scientists and engineers on enterprise-scale projects.
Key qualifications include:
- Strong programming skills in Python
- Experience with frameworks like TensorFlow and PyTorch
The ideal candidate will help turn complex datasets into scalable models while ensuring compliance with internal standards. This position offers a competitive salary range of £70,000 - £95,000 per annum and supports hybrid work arrangements.
GenAI ML Engineer — Production & MLOps, Hybrid (Manchester) employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI ML Engineer — Production & MLOps, Hybrid (Manchester)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TensorFlow, and 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 common ML concepts and frameworks. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace GenAI ML Engineer — Production & MLOps, Hybrid (Manchester)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with TensorFlow or PyTorch. We want to see how you can turn complex datasets into scalable models, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that align with the job description. We love seeing how your background fits with what we’re looking for!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Less fluff, more substance!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Robert Walters UK
✨Know Your Tech Stack
Make sure you brush up on your Python skills and get familiar with TensorFlow and PyTorch. Be ready to discuss how you've used these frameworks in past projects, as this will show your practical experience and understanding of the tools.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to turn complex datasets into scalable models, as this is crucial for the role.
✨Understand Compliance Standards
Familiarise yourself with internal compliance standards related to AI solutions. Being able to discuss how you ensure compliance in your work will demonstrate your attention to detail and commitment to quality.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.
