At a Glance
- Tasks: Lead the development of machine learning models for personalised recommendations.
- Company: Join a renowned multinational company at the forefront of tech innovation.
- Benefits: Competitive salary, immigration support, and global experience with a diverse team.
- Other info: Collaborative environment with opportunities for professional growth and international exposure.
- Why this job: Make a real impact in machine learning and enhance customer experiences worldwide.
- Qualifications: PhD or Master's in relevant field, programming skills, and machine learning experience.
The predicted salary is between 36000 - 60000 £ per year.
We are thrilled to present an incredible career opportunity! We are recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist to drive cutting-edge research in machine learning and create scalable personalisation solutions.
What you’ll do:
- Spearhead the development of machine learning models capable of processing vast amounts of data and delivering low-latency recommendations to customers globally.
- Design and conduct experiments that showcase both the technical strength and business impact of your models.
- Collaborate closely with a dedicated team of scientists and engineers to drive the creation of innovative recommendation systems that put customer needs first.
- Enhance the company’s reputation as a global leader in machine learning and personalisation.
Key responsibilities:
- Design and implement personalized recommendation systems across customer touchpoints.
- Collaborate with engineers to deploy models into scalable, low-latency production systems.
- Provide machine learning insights to guide strategic business and technical decisions.
- Lead the science roadmap, aligning research goals with organizational priorities.
- Work with product managers to create customer-focused, machine-backed solutions.
- Share results through rigorous, impactful reports for team and scientific audiences.
Requirements
Basic qualifications:
- PhD, or a Master's degree and experience in CS, CE, ML or related field research.
- Experience programming in Java, C++, Python or related language.
- Experience in building machine learning models for business application.
- Experience with contextual bandits, off-policy evaluation and learning to rank models.
- Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue, Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Preferred qualifications:
- Experience using Unix/Linux.
- Experience in professional software development.
- Experience working within an Agile environment working with software engineers to launch products for customers.
Immigration support: The company provides support for your immigration process to the United Kingdom.
Competitive Salary: Enjoy a competitive salary package reflective of your skills and experience.
Global Experience: Gain international experience by working with a diverse team in a dynamic region.
Applied Scientist, Offer Recommendations (Offers Tech) in London employer: MENA Alliances
Join a leading multinational company in London, where innovation meets collaboration. As an Applied Scientist, you'll thrive in a vibrant work culture that prioritises scientific excellence and employee growth, offering competitive salaries and immigration support. With opportunities to work on groundbreaking machine learning projects alongside a diverse team, this role promises not just a job, but a meaningful career path in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist, Offer Recommendations (Offers Tech) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your projects. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and skills.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. We suggest checking out our website for tailored job listings that match your expertise in machine learning and personalisation.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. We believe it shows your enthusiasm and professionalism, which can set you apart from other candidates.
We think you need these skills to ace Applied Scientist, Offer Recommendations (Offers Tech) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Applied Scientist role. Highlight your experience with machine learning models and any relevant programming skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool projects related to recommendation systems or machine learning, make sure to mention them! We love seeing practical applications of your skills, so don’t hold back.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at MENA Alliances
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems. Be ready to discuss your past projects and how they relate to the role. The more you can demonstrate your expertise in building models and using relevant technologies like AWS, the better!
✨Showcase Your Collaboration Skills
This role involves working closely with engineers and product managers, so be prepared to talk about your teamwork experiences. Share examples of how you've successfully collaborated on projects, especially in Agile environments. Highlighting your ability to communicate complex ideas clearly will set you apart.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on programming languages like Python or Java, and be ready to solve problems on the spot. Practising coding challenges or discussing your approach to building machine learning models can help you feel more confident.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current projects, their approach to machine learning, or how they measure the success of their recommendation systems. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
