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Machine Learning Engineer

Yolk Recruitment Ltd
Posted 6 hours ago, valid for 25 days
Location

Cardiff, South Glamorgan CF5 1DR, Wales

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Yolk Recruitment is hiring a Machine Learning Engineer for an initial 6-month contract in Cardiff, with the possibility of extension.
  • The role focuses on scaling, optimizing, and deploying ML pipelines in a cloud-first environment and requires proven production-level deployment experience.
  • Candidates should have strong coding skills in Python and experience with cloud-native ML workflows, preferably using Azure.
  • The position offers a flexible salary based on desired rates and requires candidates to be on-site once a month or as project needs dictate.
  • Candidates are expected to have a background in building and maintaining CI/CD pipelines, as well as a passion for developing clean and efficient systems.
  • Machine Learning Engineer
  • Cardiff (hybrid)
  • Initial 6 Month Contract
  • OUTSIDE IR35

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
  • Containerise models using Docker, deploy via Kubernetes
  • 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
  • Azure (Virtual Machines, ML, Cloud Storage, Web Apps)
  • Docker & Kubernetes
  • Terraform for infra as code
  • Airflow for orchestration
  • Git, GitHub, GitHub Actions
  • SQL for data wrangling and storage
  • Artifactory for package management
  • Linux & Windows VMs

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

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.