Machine Learning Engineer

4 days ago

Apply Now

Receive Emails with Similar Jobs

Dotdigital

WebsiteLinkedInAll Job Openings

SaaS • Marketing

Dotdigital is a marketing automation platform, established over 20 years ago, that helps brands improve their marketing engagement using innovative tools to achieve seamless and relevant customer connections. With over 400 employees worldwide, Dotdigital serves mid-market and enterprise companies across various industries, emphasizing responsible marketing and sustainability. The company is recognized as the world's first carbon-neutral marketing automation platform with certifications in ISO14001, ISO 27701, and ISO27001. Dotdigital is committed to diversity and inclusion, and actively supports initiatives for green practices, employee wellbeing, and women empowerment in the tech industry.

201 - 500 employees

Founded 1999

☁️ SaaS

📋 Description

• Architect and implement high-throughput data pipelines using PySpark on the Databricks platform to support large-scale ML workloads. • Develop and operationalise ML workflows and model pipelines leveraging industry-leading frameworks and MLOps practices. • Drive data governance and metadata management via feature stores to ensure data quality, lineage and compliance. • Work with modern data lake house storage formats such as Delta Lake and Apache Iceberg to deliver reliable, performant data architectures. • Collaborate across cross-functional teams including data engineering, data science, analytics and product to translate business challenges into scalable ML solutions. • Monitor, tune and optimise the performance, cost-efficiency and reliability of data/ML pipelines in a production environment. • Stay abreast of emerging technologies and best practices in data engineering, ML infrastructure and pipeline design to lift our platform continuously.

🎯 Requirements

• A strong track record (typically 5+ years) in data engineering or ML engineering, with significant experience in building large-scale data pipelines and production ML systems. • Proficiency in Python, and strong hands-on experience with PySpark in distributed, big-data environments. • Proven experience with Databricks (cluster config, job orchestration, runtime optimisation). • Deep understanding and practical use of Unity Catalog, Delta Lake and Apache Iceberg in data lake house architectures. • Expertise in data modelling, partitioning strategies, performance tuning and best practices for high-throughput data systems. • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and experience deploying models into production. • Experience with CI/CD pipelines for data and ML code. • Excellent communication skills and ability to work collaboratively in agile team environments.

🏖️ Benefits

• Parental leave • Medical benefits • Paid sick leave • Dotdigital day • Share reward • Wellbeing reward • Wellbeing Days • Loyalty reward • DEI commitment