ML Engineer

Location: London/Osterley, UK; hybrid working with 2 days per week in the office. Appropriate right to work in the UK is required; visa sponsorship is not available.

Company

hirify.global is a media and entertainment company delivering entertainment, sports, news, and arts through digital products and services.

What you will do

• Build and deploy scalable machine learning solutions for customer experience, personalisation, and commercial decision-making.
• Develop feature engineering pipelines for machine learning models and analytical products.
• Translate business needs into production-ready systems with data scientists, engineers, and product teams.
• Implement, test, and optimise machine learning workflows in a large-scale cloud environment.
• Improve the reliability, performance, scalability, and compliance of automated machine learning platforms.
• Evaluate emerging machine learning engineering techniques, including Agentic AI.

Requirements

• Strong Python engineering skills and experience writing production-quality code with machine learning or analytics libraries.
• Hands-on experience with data modelling, pipeline development, and processing large structured and unstructured datasets.
• Experience deploying machine learning models and analytical applications to cloud platforms; GCP is preferred.
• Knowledge of MLOps practices, including model management, monitoring, CI/CD, and reproducible workflows.
• Understanding of microservices, containerisation, or orchestration tools such as Docker and Kubernetes.
• Clear communication and effective collaboration with technical and non-technical stakeholders.

Culture & Benefits

• Hybrid working with an Osterley campus office base.
• Free hirify.global TV or NOW package, including hirify.global Sports and hirify.global Cinema.
• Pension package with up to 9% employer contribution.
• Private healthcare with mental health support, digital GP, and dental insurance.
• Discounts on hirify.global products, Sharesave and Tech schemes, and hirify.global VIP rewards.
• Campus facilities include subsidised restaurants, cafes, gym, cinema, shuttle buses, and bike facilities.