At a Glance
- Tasks: Enhance behavioural modelling engines and conduct innovative ML research.
- Company: Join a forward-thinking team at Adecco in Rowberrow, UK.
- Benefits: Hybrid work model, equity options, and an annual training budget.
- Other info: Dynamic environment with opportunities for growth and learning.
- Why this job: Shape next-gen AI while blending theory with real-world applications.
- Qualifications: Strong Python skills and a curious research mindset required.
The predicted salary is between 50000 - 70000 € per year.
Adecco is seeking a Machine Learning/Data Science Researcher to join their team in Rowberrow, UK. This full-time, permanent role focuses on enhancing the behavioural modelling engine that informs their product for major brands.
Candidates should have strong Python skills and experience with ML research, complemented by a curious research mindset.
The position offers a hybrid work model with equity options and an annual training budget. This role is about blending theory, experimentation, and real-world applications in a dynamic environment.
ML Researcher: Shape Next-Gen Behavioral AI (Hybrid) employer: Adecco
Adecco is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its team members. With a hybrid work model, competitive equity options, and a dedicated annual training budget, employees are empowered to grow their skills and advance their careers while contributing to cutting-edge projects in behavioural AI. Located in the picturesque Rowberrow, UK, Adecco offers a unique blend of professional development and a supportive environment, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land ML Researcher: Shape Next-Gen Behavioral AI (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend 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 ML projects and research. This is your chance to demonstrate your Python prowess and innovative thinking, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and real-world applications. Practice explaining your past projects and how they relate to behavioural AI – this will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace ML Researcher: Shape Next-Gen Behavioral AI (Hybrid)
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in ML research. Don't just say you're good at it; give us examples!
Emphasise Your Research Mindset:We love candidates who are curious and eager to explore new ideas. In your application, share any unique research experiences or experiments you've conducted. Show us how you think outside the box!
Connect Theory with Practice:This role is all about blending theory with real-world applications. In your written application, discuss how you've applied theoretical concepts in practical settings. We want to see your ability to bridge the gap!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Adecco
✨Show Off Your Python Skills
Make sure to brush up on your Python programming skills before the interview. Be ready to discuss specific projects where you've used Python for machine learning, and don't hesitate to share code snippets or examples that highlight your expertise.
✨Demonstrate Your Research Mindset
Prepare to talk about your approach to research in machine learning. Think of a few examples where you’ve blended theory with experimentation. This will show that you’re not just about the numbers but also about understanding the underlying principles.
✨Know Their Product Inside Out
Familiarise yourself with the behavioural modelling engine they use. Understanding how it informs their product for major brands will help you articulate how your skills can enhance their offerings. It shows genuine interest and initiative!
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, the hybrid work model, and the annual training budget. This not only demonstrates your curiosity but also helps you gauge if the company culture aligns with your values.
