Lead Machine Learning Engineer

JR United Kingdom; Birmingham; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Lead Machine Learning Engineer to join their dynamic data science team in Birmingham. This role involves leading ML projects from inception to deployment, building robust cloud infrastructure on Azure, and mentoring junior engineers. The ideal candidate will possess strong Python and SQL skills, hands-on experience with Azure services, and a solid understanding of DevOps tools. Join a forward-thinking company that values innovation and collaboration, where your contributions will directly impact the development of production-ready ML solutions.

Qualifications

• 5+ years of experience in machine learning and cloud infrastructure.
• Strong understanding of CI/CD pipelines and software engineering best practices.

Responsibilities

• Lead ML projects from design to production deployment.
• Build and manage data pipelines and cloud-based infrastructure.

Skills

Python (Pandas, scikit-learn)

SQL

Azure services

DevOps tools

Linux/Windows VM management

Bash scripting

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Tools

GitHub Actions

Terraform

Docker

Kubernetes

Airflow

Job description

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Lead Machine Learning Engineer, birmingham

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Client:

Location:

birmingham, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

We’re looking for a Senior or Lead Machine Learning Engineer to join a growing data science team, focused on delivering production-ready ML solutions and building reliable cloud infrastructure on Azure.

Responsibilities:

Lead ML projects from design to production deployment

Build and manage data pipelines and cloud-based infrastructure

Deploy and monitor data science models in Azure environments

Improve CI/CD pipelines and model monitoring frameworks

Mentor junior engineers and collaborate across data and IT teams

Write clean, high-quality, testable code and participate in code reviews

Skills & Experience:

Strong Python expertise (Pandas, scikit-learn) and solid SQL skills

Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML)

Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow

Understanding of software engineering best practices and cloud security

Exposure to ML model lifecycle and production environments

Familiarity with Linux/Windows VM management and Bash scripting

Bachelor’s degree in Computer Science, Data Science or similar field preferred

Sponsorship is not available for this role.