Machine Learning Engineer jobs in United Kingdom

Scoreline is seeking a skilled Data Engineer to enhance and maintain the data infrastructure powering our AI‑driven fantasy sports platform. This role involves designing efficient data pipelines, managing large‑scale sports datasets, and ensuring the seamless delivery of clean, reliable data for both machine learning models and front‑end user experiences.

• Design, develop, and maintain data pipelines for ingesting, transforming, and storing sports and fantasy data from multiple sources (e.g. OPTA, APIs, internal tools).
• Ensure data quality, reliability, and consistency across real‑time and batch processing workflows.
• Collaborate with AI engineers to deliver structured, model‑ready datasets for machine learning and forecasting systems.
• Build robust data services to support front‑end features and personalised user insights.
• Optimise database performance and manage data storage solutions for scalability and cost‑efficiency.
• Implement monitoring, alerting, and logging systems for proactive data quality assurance.
• Work with software engineers to ensure smooth integration of data flows across Scoreline’s platform.
• Document data models, workflows, and schemas for transparency and maintainability.

• Degree, or equivalent experience, in Computer Science, Data Engineering, Software Engineering, or a related field.
• Proven experience designing and maintaining data pipelines and ETL processes.
• Strong proficiency in Python and working knowledge of JavaScript/TypeScript.
• Hands‑on experience with cloud‑based data storage and compute platforms (AWS, GCP, or Azure).
• Develop and manage data interfaces that retrieve and distribute information via both push and pull services, ensuring reliable, low‑latency data flow across the platform.
• Familiarity with relational and non‑relational databases.
• Experience deploying and maintaining APIs and microservices for data delivery.
• Proficient with Git for version control and comfortable working in collaborative, agile environments.
• Excellent communication and problem‑solving skills with strong attention to detail.

• Experience working with sports data (e.g. player statistics, fixtures, live match feeds).
• Familiarity with machine learning pipelines or MLOps principles.
• Experience with Google Cloud Platform (GCP) services and infrastructure.
• Familiarity with Pulumi for infrastructure as code and cloud resource management.
• Understanding of data visualisation and analytics tools.
• Knowledge of sports and fantasy game mechanics.

Scoreline is building the next generation of fantasy sports and sports gaming experiences. Our flagship product, Fantasy Football Hub, helps fantasy managers make smarter decisions using data, AI‑powered tools, and clear, actionable insight.

We sit at the intersection of sports, data, and product design – turning complex models and real‑time information into simple, intuitive experiences that fans use every week. We’re a fast‑growing, profitable scale‑up with ambitious plans: rebuilding our core experience as a truly native app, expanding into new sports, and doubling down on an AI‑first product philosophy.

• Competitive Salary & Benefits: We offer a salary package based on experience, plus a range of benefits.
• Flexibility: Enjoy the freedom of working remotely with flexible hours.
• Innovative Environment: Work with a talented team in a fast‑paced, dynamic industry.
• Modern Tech Stack: Work with cutting‑edge technologies including React Native, Expo, Next.js, and Google Cloud Platform.

Entry level

Full‑time

Information Technology

Technology, Information and Media

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