Production ML Engineer - Build Scalable Pipelines & MLOps

Data Science Festival; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Competitive salary with annual reviews

Hybrid working model offering flexibility

Generous holiday allowance

Onsite wellness facilities

Access to wellbeing support services

Job summary

Data Science Festival is seeking a Machine Learning Engineer to design and build robust data pipelines while transforming ML prototypes into production-ready systems. This role directly influences how millions engage with products, ensuring data and AI strategies scale effectively.

You will work closely with analysts and data engineers in a hybrid setting, focusing on reliable, scalable models. Benefits include competitive salary, generous holidays, and career progression opportunities.

Qualifications

• Degree in a relevant field such as Computer Science, Engineering, or Mathematics.
• Strong knowledge of Python and SQL.
• Hands-on experience with cloud platforms (GCP or Azure) and Databricks.
• Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML.

Responsibilities

• Building and maintaining end-to-end data pipelines and feature engineering workflows.
• Deploying and monitoring ML models in production using various tools.
• Driving best practices in MLOps, including CI/CD and model governance.
• Supporting the data warehouse to ensure data quality and governance.
• Collaborating with cross-functional teams to deliver trusted datasets.

Skills

Python

SQL

Cloud platforms (GCP or Azure)

Databricks

MLflow

Vertex AI

CI/CD pipelines

Elasticsearch

Digital/web analytics

Spark

Education

Degree in Computer Science, Engineering, Mathematics, or a related field

Tools

Azure ML

Job description

Data Science Festival is seeking a Machine Learning Engineer to design and build robust data pipelines while transforming ML prototypes into production-ready systems. This role directly influences how millions engage with products, ensuring data and AI strategies scale effectively.

You will work closely with analysts and data engineers in a hybrid setting, focusing on reliable, scalable models. Benefits include competitive salary, generous holidays, and career progression opportunities.