ML Engineer, Personalization & LLMs (Hybrid UK)

Greenhouse Software, Inc.; Dundee; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Lunch budget on-site

Fully stocked kitchen

Hybrid work model

Job summary

Optimove is hiring a Machine Learning Engineer for the Personalize team in the UK. You will shape and own medium-sized ML features end-to-end, from framing to deployment, working with ML, MLOps and software engineering to deliver impactful personalization capabilities.

The role emphasizes productionising models as APIs, real-time and batch processing, and ongoing research. It is a hybrid role with two days per week in the Dundee office, and requires eligibility to work in the UK.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics or related field, or equivalent practical experience.

Responsibilities

• Own the delivery of ML features end-to-end within Personalize, from problem framing to deployment.
• Develop predictive ML models for classification, ranking and personalization using text data.
• Leverage LLMs and state-of-the-art techniques to enhance product capabilities.
• Operationalize models as APIs across real-time and batch environments.
• Monitor production models for data quality and degradation.
• Collaborate with product, MLOps and software engineering teams on new ML applications.
• Research new ML methods and share findings with the team.
• Proactively surface data challenges and drive quality improvements.

Skills

Python

SQL

ML concepts

NLP

Cloud technologies

CI/CD

Git

Docker

Explainability

Data privacy

Education

Bachelor's degree in CS/DS/Statistics

Tools

Docker

Snowflake

Terraform

IaC tooling

Job description

Optimove is hiring a Machine Learning Engineer for the Personalize team in the UK. You will shape and own medium-sized ML features end-to-end, from framing to deployment, working with ML, MLOps and software engineering to deliver impactful personalization capabilities.

The role emphasizes productionising models as APIs, real-time and batch processing, and ongoing research. It is a hybrid role with two days per week in the Dundee office, and requires eligibility to work in the UK.