

Pyramid Consulting, Inc
AI Innovation Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Innovation Engineer on a contract basis in Manchester, UK (Hybrid). Requires 5+ years in software engineering, expertise in TypeScript, and experience with AI-driven features, AWS, and real-time systems.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
July 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Manchester, England, United Kingdom
-
🧠 - Skills detailed
#Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Data Analysis #Python #R #ML (Machine Learning) #TypeScript #Scala #Monitoring #Cloud #Observability #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence)
Role description
Job Title: AI Innovation Engineer
Location: Manchester, UK (Hybrid – 2 days week onsite)
Project Type: Contract
Role Purpose:
• You'll be part of the team responsible for bringing AI innovation into the hands of millions of players. Working alongside AI researchers and experienced engineers, you'll transform proven concepts into high-quality, production-ready features that power personalised player experiences.
• From recommendation systems and intelligent search to AI agents and dynamic content discovery, you'll build and scale the technology that sits behind our products.
• This is a senior, hands on role with genuine ownership you'll influence how solutions are designed, built and delivered while working in a collaborative team that's passionate about solving complex engineering challenges with AI.
͏
Areas of Responsibilities:
• Take prototypes and validated concepts from R&D and turn them into production
• systems: hardened, tested, observable, and maintainable.
• Build and operate real-time personalisation, recommendation, search and ranking
• systems against live traffic and within real latency budgets.
• Hold a high engineering bar on AWS and TypeScript: clean CI/CD, infrastructure as
• code, observability, and testing.
• Work closely with R&D engineers, product managers, data analysts and Staff
• Engineers, bridging fast experimental work and production discipline.
Experience:
• Significant commercial software engineering experience (typically 5+ years) with strong expertise in TypeScript and working knowledge of Python.
• Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications.
• Hands-on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code and production monitoring.
• Experience developing and supporting high-performance, real-time systems with a focus on scalability, reliability and low latency.
• Experience measuring and evaluating AI model performance, using data and experimentation to drive continuous improvement.
Skills & Behaviours:
• A hands-on engineer who enjoys solving complex technical challenges and delivering high-quality, production-ready solutions.
• Strong understanding of modern software engineering best practices, with a focus on clean, maintainable and well-tested code.
• Comfortable working in a collaborative, cross-functional environment alongside engineers, product teams and AI researchers.
• Excellent communication skills, able to explain technical concepts clearly to both technical and non-technical stakeholders.
• Proactive, curious and continuously looking for opportunities to improve products, processes and the way AI solutions are delivered.
Job Title: AI Innovation Engineer
Location: Manchester, UK (Hybrid – 2 days week onsite)
Project Type: Contract
Role Purpose:
• You'll be part of the team responsible for bringing AI innovation into the hands of millions of players. Working alongside AI researchers and experienced engineers, you'll transform proven concepts into high-quality, production-ready features that power personalised player experiences.
• From recommendation systems and intelligent search to AI agents and dynamic content discovery, you'll build and scale the technology that sits behind our products.
• This is a senior, hands on role with genuine ownership you'll influence how solutions are designed, built and delivered while working in a collaborative team that's passionate about solving complex engineering challenges with AI.
͏
Areas of Responsibilities:
• Take prototypes and validated concepts from R&D and turn them into production
• systems: hardened, tested, observable, and maintainable.
• Build and operate real-time personalisation, recommendation, search and ranking
• systems against live traffic and within real latency budgets.
• Hold a high engineering bar on AWS and TypeScript: clean CI/CD, infrastructure as
• code, observability, and testing.
• Work closely with R&D engineers, product managers, data analysts and Staff
• Engineers, bridging fast experimental work and production discipline.
Experience:
• Significant commercial software engineering experience (typically 5+ years) with strong expertise in TypeScript and working knowledge of Python.
• Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications.
• Hands-on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code and production monitoring.
• Experience developing and supporting high-performance, real-time systems with a focus on scalability, reliability and low latency.
• Experience measuring and evaluating AI model performance, using data and experimentation to drive continuous improvement.
Skills & Behaviours:
• A hands-on engineer who enjoys solving complex technical challenges and delivering high-quality, production-ready solutions.
• Strong understanding of modern software engineering best practices, with a focus on clean, maintainable and well-tested code.
• Comfortable working in a collaborative, cross-functional environment alongside engineers, product teams and AI researchers.
• Excellent communication skills, able to explain technical concepts clearly to both technical and non-technical stakeholders.
• Proactive, curious and continuously looking for opportunities to improve products, processes and the way AI solutions are delivered.






