About this role
Summary: The Applied Scientist will drive research in machine learning to create scalable personalization solutions. Responsibilities include designing personalized recommendation systems, collaborating with engineers for deployment, and leading the science roadmap to align research with business priorities.
Aboutthe 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’lldo:
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
Basicqualifications
- 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.
Preferredqualifications
- Experience using Unix/Linux
- 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.