Lead Machine Learning Engineer

Tenth Revolution Group; Birmingham; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Senior Principal Consultant focusing on Cloud, Data, AI, and ML. In this role, you will lead machine learning projects, build robust cloud infrastructure on Azure, and mentor junior engineers. This is an exciting opportunity to work with cutting-edge technologies and make a significant impact in data science. Collaborate with cross-functional teams to deliver production-ready ML solutions while enhancing CI/CD pipelines and model monitoring frameworks. If you're passionate about AI and cloud technologies, this role is perfect for you.

Qualifications

• Strong Python skills and solid SQL knowledge are essential.
• Hands-on experience with Azure services is required.

Responsibilities

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

Skills

Python (Pandas, scikit-learn)

SQL

Azure services (VMs, Web Apps, Storage, Azure ML)

GitHub Actions

Terraform

Docker

Kubernetes

Airflow

Linux/Windows VM management

Bash scripting

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Job description

Senior Principal Consultant - Cloud, Data, AI & ML

We’re seeking a Senior or Lead Machine Learning Engineer to join our expanding data science team. The role focuses on delivering production-ready ML solutions and building reliable cloud infrastructure on Azure.

Responsibilities:

1. Lead ML projects from design to deployment.
2. Build and manage data pipelines and cloud-based infrastructure.
3. Deploy and monitor data science models in Azure environments.
4. Enhance CI/CD pipelines and model monitoring frameworks.
5. Mentor junior engineers and collaborate across teams.
6. Write clean, testable code and participate in code reviews.

Skills & Experience:

1. Strong Python skills (Pandas, scikit-learn) and solid SQL knowledge.
2. Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML).
3. Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow.
4. Understanding of software engineering best practices and cloud security.
5. Experience with ML model lifecycle and production environments.
6. Familiarity with Linux/Windows VM management and Bash scripting.
7. Bachelor’s degree in Computer Science, Data Science, or related field preferred.

Note: Sponsorship is not available for this role.