Ai/ML Data Science Engineer

Matchtech Group; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Matchtech Group partners with a world-leading technology and entertainment organisation to shape the future of data and AI in a global, high-performance environment. You will design, develop, and deploy production-grade AI and machine learning solutions, working directly with senior leadership to turn data into measurable impact.

This role combines ML, data engineering, experimentation and product thinking on real-time data, computer vision, and predictive analytics.

Qualifications

• 5–10 years of Data Science, Machine Learning, or AI-related experience.
• Strong Python and SQL skills.
• Experience with cloud-based data platforms and APIs.

Responsibilities

• Design, build and deploy production-grade ML models for business challenges.
• Develop scalable data pipelines for real-time and batch workloads.
• Implement model monitoring, drift detection and retraining processes.
• Translate business problems into technical solutions and present insights to stakeholders.

Skills

Advanced Python

SQL

Cloud platforms

Statistics & feature engineering

Docker & Kubernetes

Real-time data processing

Tools

Docker

Kubernetes

Job description

Shape the Future of Data & AI in a Global High-Performance Environment

We're partnering with a world-renowned organisation operating at the cutting edge of technology, engineering, entertainment, and live global events. With millions of fans worldwide and a relentless focus on innovation, this organisation is investing heavily in AI, machine learning, and advanced data capabilities to drive performance both on and off the field of play.

This is a rare opportunity to join a highly visible innovation team and work on complex, real-world challenges involving real-time data, computer vision, predictive analytics, intelligent automation, and large-scale data platforms.

The Opportunity

As an AI/ML/Data Science Engineer, you will play a key role in designing, developing, and deploying production-grade AI and machine learning solutions. Working directly with senior leadership and stakeholders across multiple business functions, you'll help identify opportunities where data and AI can create measurable impact and transform operations.

This role combines machine learning, data engineering, experimentation, and product thinking within a fast-paced, high-performance environment where innovation is actively encouraged.

Key Responsibilities

AI & Machine Learning

• Design, build, and deploy machine learning models that solve complex business and operational challenges.
• Develop solutions across predictive analytics, computer vision, anomaly detection, and natural language processing.
• Create scalable inference pipelines for both real-time and batch processing workloads.
• Implement model monitoring, performance tracking, drift detection, and retraining processes.
• Rapidly prototype new ideas and validate use cases before scaling successful solutions into production.
• Research emerging AI and data technologies and identify opportunities to apply them in novel ways.

Data Engineering & Platforms

• Design and maintain robust, scalable data pipelines.
• Integrate diverse data sources including telemetry, operational, video, image, commercial, and digital engagement datasets.
• Develop APIs and services that enable wider access to analytics and AI capabilities.
• Support high-availability, low-latency systems where business-critical performance is required.

Stakeholder Engagement

• Partner with teams across operations, technology, media, commercial, marketing, and infrastructure functions.
• Translate business challenges into technical solutions.
• Present insights and recommendations to both technical and executive audiences.
• Establish trusted relationships and become a key advisor on data and AI opportunities.

Governance & Security

• Champion responsible AI practices.
• Support data governance, privacy, and compliance initiatives.
• Collaborate with cybersecurity teams to ensure AI and data platforms remain secure and resilient.

What We're Looking For

Essential Experience

• 5-10 years' experience in Data Science, Machine Learning Engineering, or AI-related roles.
• Strong experience developing and deploying machine learning systems in production environments.
• Advanced Python skills.
• Experience with SQL and modern cloud-based data platforms.
• Familiarity with containerisation and orchestration technologies.
• Strong understanding of statistics, model evaluation, data preparation, and feature engineering.

Desirable Experience

• Real-time or streaming data environments.
• Computer vision and video analytics.
• Large-scale telemetry, sensor, or IoT datasets.
• Edge computing and