

Pyramid Consulting, Inc
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in Manchester, contracted inside IR35, offering a competitive pay rate. Requires 5+ years of software engineering experience, expertise in TypeScript, cloud-native AWS applications, and a background in AI/ML production systems.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Manchester Area, United Kingdom
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🧠 - Skills detailed
#Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Data Analysis #Python #R #ML (Machine Learning) #TypeScript #Scala #Monitoring #Cloud #Observability #AI (Artificial Intelligence)
Role description
AI Innovation Engineer
Location : Manchester.
Contract Inside IR 35
So, what will you be doing?
• 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.
AI Innovation Engineer
Location : Manchester.
Contract Inside IR 35
So, what will you be doing?
• 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.






