Design and deploy low-latency, large-scale personalized recommendation systems. Lead scientific research, run experiments and off-policy evaluation, collaborate with engineers to productionize models, and communicate results to technical and business stakeholders.
About
the role:
We're thrilled to present an incredible career opportunity! We're 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 personalization solutions.
What you’ll do:
In this role, you’ll spearhead the development
of machine learning models capable of processing vast amounts of data and
delivering low-latency recommendations to customers globally. With a commitment
to scientific rigor, you’ll design and conduct experiments that showcase both
the technical strength and business impact of your models. Collaborating
closely with a dedicated team of scientists and engineers, you’ll drive the
creation of innovative recommendation systems that put customer needs first,
enhancing 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.
- 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.
- Experience in professional software development
- Experience working within an Agile environment working with software engineers to launch products for customers.
Benefits
- 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.
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