Lead Ai Engineer (AI​/ML​/R&D

Lead Ai Engineer Manchester Office

Hybrid working 3 days a week in the Manchester Office

Bally’s Intralot is a newly formed company established through the combination of Intralot and Bally’s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions.

Bally’s Intralot is uniquely positioned across digital online gaming markets, lottery, iLottery, and sports betting. Operating at the intersection of technology, regulation, and entertainment. We are optimally positioned to capitalise on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.

As Lead AI Engineer, you'll play a pivotal role in shaping the future of AI across our products. Leading a newly established AI Engineering function, you'll bridge cutting-edge research with production engineering, ensuring innovative AI capabilities become scalable, reliable features used by millions of players.

You'll lead a multidisciplinary team responsible for developing and delivering AI-powered experiences across personalisation, recommendations, intelligent search, AI agents and content discovery. Working closely with product, engineering and data teams, you'll define technical direction, establish engineering best practices and help build a high-performing team capable of delivering AI solutions at scale.

This is a hands on leadership role where you'll combine technical expertise with people leadership. You'll mentor and develop engineers, influence architecture and technical strategy, and remain close to the code, leading by example on the most complex technical challenges.

• Significant commercial software engineering experience, including experience leading technical teams or engineering functions.
• Strong expertise in Type Script and Python, with a proven track record of delivering AI, machine learning or data-driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM-powered applications.
• Extensive experience building and operating cloud-native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern engineering practices.
• Experience delivering high-performance, real-time systems that operate reliably at scale with demanding latency requirements.
• Demonstrated experience leading the successful transition of AI solutions from research or proof of concept into robust, production-ready services.
• Experience establishing technical standards, driving engineering excellence and mentoring or developing engineers within high-performing teams.

• Significant commercial software engineering experience, including experience leading technical teams or engineering functions.
• Strong expertise in Type Script and Python, with a proven track record of delivering AI, machine learning or data-driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM-powered applications.
• Extensive experience building and operating cloud-native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern engineering practices.
• Experience delivering high-performance, real-time systems that operate reliably at scale with demanding latency requirements.
• Demonstrated experience leading the successful transition of AI solutions from research or proof of concept into robust, production-ready services.
• Experience establishing technical standards, driving engineering excellence and mentoring or developing engineers within high-performing teams.

• A technical leader who enjoys building, mentoring and developing engineering teams while creating an environment where innovation can thrive.
• Able to balance experimentation with engineering discipline, making sound technical decisions that deliver long-term value.
• Confident leading technical discussions, influencing architecture and making complex decisions across multiple stakeholders.
• Passionate about building scalable, maintainable and…