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- Tasks: Design reusable ML templates and standardise ML systems across product domains.
- Company: Leading online fashion retailer in Greater London with a focus on innovation.
- Benefits: Flexible work arrangements, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team to enhance ML systems in the exciting fashion industry.
- Qualifications: Strong ML Azure experience, Python proficiency, and familiarity with ML Ops tools.
- Other info: In-person collaboration for effective teamwork in a vibrant environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading online fashion retailer in Greater London is seeking a Senior Machine Learning Engineer. You will design reusable ML templates and drive standardisation across product domains, collaborating with various teams to enhance ML systems.
Requirements include:
- Strong ML Azure experience
- Proficiency in Python
- Familiarity with ML Ops tools
This role emphasizes in-person collaboration for effective teamwork, with flexible work arrangements available.
Senior ML Engineer, MLOps Platform & Automation employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, MLOps Platform & Automation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using Azure and Python. This gives potential employers a taste of what you can do and makes you memorable.
✨Tip Number 3
Prepare for those interviews! Brush up on your ML Ops tools and be ready to discuss how you've driven standardisation in past roles. We want to see your thought process and problem-solving skills in action.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior ML Engineer, MLOps Platform & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML Azure and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML and how you can contribute to our team. We love seeing enthusiasm and a bit of personality in applications.
Showcase Collaboration Skills: Since this role involves working closely with various teams, mention any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you’ve made an impact!
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 ASOS
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to Azure and MLOps tools. Be ready to discuss your past projects and how you've implemented ML solutions in a collaborative environment.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Collaboration is Key
This role emphasises teamwork, so be prepared to talk about how you've worked with cross-functional teams in the past. Share specific examples of how you’ve driven standardisation or improved processes through collaboration.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current ML projects or how they envision the future of their MLOps platform. This shows you're genuinely interested and engaged.
