Machine Learning EngineerNew

TN United Kingdom; Cardiff; On-site; GBP 50,000 - 80,000; Full time

Job summary

Join a dynamic tech startup in South Wales as a Machine Learning Engineer, where you'll play a crucial role in scaling and optimizing ML pipelines. This exciting position focuses on getting models into production within a cloud-first environment. Collaborate with a talented team to enhance model reliability and performance while utilizing cutting-edge technologies like Azure ML and Terraform. If you're passionate about clean, efficient systems and eager to make a significant impact in the AI space, this role offers a fantastic opportunity for growth and innovation.

Qualifications

• Proven experience as an ML Engineer with production-level deployment experience.
• Strong coding skills in Python and cloud-native ML workflows.

Responsibilities

• Design, build, and deploy robust ML pipelines in Python.
• Automate workflows with Airflow and manage infrastructure with Terraform.

Skills

Machine Learning

Python

CI/CD Pipelines

Cloud-Native ML Workflows

Infrastructure Automation

Tools

Azure ML

Terraform

Airflow

GitHub

SQL

Artifactory

Job description

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Yolk Recruitment are currently hiring for an ML Engineer on an initial 6 month contract with likely extension.

We're working with a growing tech startup based in South Wales that's doing exciting things with data and AI. They're on the hunt for a Machine Learning Engineer to help scale, optimise, and productionise their ML pipelines and infrastructure.

This isn't a research role, it's all about getting models into production, making them scalable, maintainable, and deployable across a cloud-first environment.

(There is no set budget for this role - Candidates will be submitted at desired rates with the expectation to be on site once per month or as project dictates)

Responsibilities:

• Design, build, and deploy robust ML pipelines in Python
• Use Azure ML and Azure Web Apps to host and scale models
• Automate workflows with Airflow and manage infrastructure with Terraform
• Version and automate CI/CD via GitHub/GitHub Actions
• Collaborate with Data Scientists and Engineers to improve model reliability and performance
• Work with both Linux and Windows VMs, managing environments with Anaconda and Artifactory

Tech Stack You'll Work With:

• Python
• Terraform for infra as code
• Airflow for orchestration
• Git, GitHub, GitHub Actions
• SQL for data wrangling and storage
• Artifactory for package management

Experience Required

• Proven experience as an ML Engineer with production-level deployment experience
• Strong coding skills in Python
• Experience with cloud-native ML workflows (preferably Azure)
• Ability to build and maintain CI/CD pipelines
• Understanding of scalable architecture, containerisation, and infra automation
• A passion for clean, modular, efficient systems