Senior ML Engineer — Production ML & MLOps Lead

Fruition Group; Greater Manchester; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology consulting firm is seeking a Senior Machine Learning Engineer to lead the design, build, and deployment of production machine learning models within a hybrid working model. This role involves establishing MLOps best practices and working on a strategic Lakehouse platform. The ideal candidate will have strong skills in Python, SQL, and PySpark, as well as experience in turning business problems into effective ML solutions. The position offers various benefits, including a discretionary bonus and private medical coverage.

Benefits

Hybrid working model

Discretionary bonus

Non-contributory pension

Private medical and dental cover

Life insurance and wellbeing-focused benefits

Qualifications

• Proven experience delivering machine learning models into production environments.
• Hands-on experience establishing MLOps processes within Databricks.
• Experience building data pipelines for structured and unstructured data.

Responsibilities

• Lead the design, build, deployment and monitoring of production machine learning models.
• Define and embed MLOps best practices.
• Develop automated model validation tests.

Skills

Python

SQL

PySpark

Statistical understanding

Stakeholder communication

Agile methodologies

Education

Degree in a STEM subject or equivalent experience

Tools

Databricks

Job description

A leading technology consulting firm is seeking a Senior Machine Learning Engineer to lead the design, build, and deployment of production machine learning models within a hybrid working model. This role involves establishing MLOps best practices and working on a strategic Lakehouse platform. The ideal candidate will have strong skills in Python, SQL, and PySpark, as well as experience in turning business problems into effective ML solutions. The position offers various benefits, including a discretionary bonus and private medical coverage.