Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation. In your role with us, you will enhance our machine learning operations (MLOps), delivering robust, scalable AWS cloud infrastructure and automation solutions that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users.

Responsibilities

Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from development to deployment and production monitoring; Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform; Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery; Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance; Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts; Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure

Requirements

Experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles; Bachelor’s degree in Computer Science, Engineering, or a related technical field; Expert proficiency in cloud infrastructure management using Terraform; Deep hands-on experience with major cloud platforms (AWS, Azure or GCP); Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads; Proficiency with containerisation technologies (Docker, Kubernetes); Advanced proficiency in Python and scripting for infrastructure automation

Nice to have

Preferably supporting data science or Machine Learning teams

Benefits

In-house baristas serving free coffee, tea, fresh juices, and smoothies; Daily catered breakfast and regular company-wide events; Snack walls and drink fridges on every floor; Fun/modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator; Access to Employee Assistance Program for you and your loved ones; 9,000+ courses on Learning & Development platform; One paid volunteer day per year; Weekly Wednesday massages by professional masseuses; Team budgets for lunches and activities to celebrate achievements; Social sports teams and participation in Corporate Games; Easygo branded swag; Birthday and work anniversary gift vouchers, plus a chance to win prizes; Company-wide talks with key partners such as Everton FC and Team Sauber in Formula 1; Office visits from big-name streamers; Meet Ambassadors like Alex Pereira, Israel Adesanya; Ballots for exclusive tickets to events like Formula 1, UFC, and more sporting and music events