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- Tasks: Shape ML systems to enhance customer experience and fairness.
- Company: Leading food tech company in Greater London with a supportive culture.
- Benefits: Well-being support, learning opportunities, and a collaborative environment.
- Why this job: Make a real impact on customer outcomes using Generative AI.
- Qualifications: 5+ years in ML, coding in Python, and deep understanding of Generative AI.
- Other info: Join a dynamic team focused on innovation and fairness.
The predicted salary is between 48000 - 72000 £ per year.
A leading food technology company in Greater London is seeking an experienced Senior Machine Learning Engineer to join their Care team. The role involves shaping ML decision-making systems that enhance customer experience and fairness.
Candidates should have over 5 years of experience in ML and coding in Python, with a deep understanding of Generative AI.
The company offers a supportive environment that promotes well-being and learning.
Senior ML Engineer - Care: LLMs for Fair Customer Outcomes in London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Care: LLMs for Fair Customer Outcomes in London
✨Tip Number 1
Network like a pro! Reach out to folks in the food tech industry or those already working at the company. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects, especially those involving Generative AI. This is your chance to demonstrate how you can shape decision-making systems for better customer outcomes.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python coding challenges and ML concepts. We recommend using platforms that simulate real interview scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer - Care: LLMs for Fair Customer Outcomes in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 5+ years of experience in ML and Python coding. We want to see how your background aligns with the role, so don’t hold back on those impressive projects you've worked on!
Demonstrate Your Knowledge of Generative AI: Since this role focuses on LLMs, it’s crucial to showcase your understanding of Generative AI. Share specific examples of how you've applied this knowledge in past roles to enhance customer outcomes.
Tailor Your Application: Take a moment to tailor your application to our company values and the specifics of the job description. We love seeing candidates who take the time to connect their skills with what we’re looking for!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Deliveroo
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around Generative AI. Be ready to discuss your past projects and how you've applied ML to solve real-world problems. This will show that you not only understand the theory but can also implement it effectively.
✨Python Proficiency is Key
Since coding in Python is a must for this role, practice coding challenges or review your previous code. Be prepared to demonstrate your coding skills during the interview, as they might ask you to solve a problem on the spot. Familiarity with libraries like TensorFlow or PyTorch could give you an edge.
✨Showcase Your Fairness Focus
This company values fairness in customer outcomes, so think about how you've addressed bias in your ML models before. Prepare examples of how you've ensured fairness in your work, and be ready to discuss the ethical implications of your decisions in ML.
✨Cultural Fit Matters
The company promotes well-being and learning, so highlight your adaptability and eagerness to learn. Share experiences where you've contributed to a positive team environment or pursued personal development. This will help demonstrate that you're not just a technical fit, but also a cultural one.
