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- 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 in a diverse team.
- Why this job: Make a real impact with cutting-edge research in machine learning.
- Qualifications: PhD or Master's in relevant field and programming experience required.
- Other info: Collaborative environment with excellent career growth opportunities.
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) employer: MENA Alliances
Contact Detail:
MENA Alliances Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist, Offer Recommendations (Offers Tech)
✨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 having a few examples ready that highlight your machine learning skills and how you’ve tackled real-world problems.
✨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 opportunities that match your expertise in applied science and machine learning.
✨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)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied Scientist role. Highlight your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align 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 this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Technical Skills: Don’t forget to mention your programming skills and experience with AWS technologies. We’re looking for someone who can hit the ground running, so be specific about your technical expertise and projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MENA Alliances
✨Know Your Machine Learning Models
Make sure you brush up on the machine learning models you've worked with, especially those relevant to recommendation systems. Be ready to discuss your experience with contextual bandits and off-policy evaluation, as these are key areas for the role.
✨Showcase Your Programming Skills
Since programming is a big part of this job, be prepared to talk about your experience with languages like Java, C++, and Python. You might even want to bring examples of code or projects you've worked on that demonstrate your skills in building machine learning models.
✨Understand the Business Impact
It's not just about the tech; you need to show how your work can drive business decisions. Think of examples where your models have made a tangible impact on customer experience or business outcomes, and be ready to share those stories.
✨Collaborate and Communicate
This role involves working closely with engineers and product managers, so highlight your teamwork skills. Prepare to discuss how you've successfully collaborated in an Agile environment and how you communicate complex ideas to non-technical stakeholders.
