Applied AI Engineer

Xcede; Manchester; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Xcede, Manchester-based, is leading a global gaming and entertainment group’s AI transformation. You will join a newly formed AI Transformation team, turning prototypes into production-grade tools and enabling teams to scale AI across products.

We value hands-on Python/TypeScript, AWS CI/CD, and experience with RAG pipelines and LLM applications. You’ll collaborate across engineering and product, running workshops and building shared capabilities that accelerate delivery.

Qualifications

• Software/Machine Learning engineering background.
• Experience taking AI prototypes or internal tools into production.
• Hands-on experience building RAG pipelines, agentic workflows or other LLM applications.
• Strong Python and/or TypeScript, and comfortable picking up the other.
• Hands-on AWS experience with CI/CD, infrastructure as code and observability.
• Experience building and using evals to measure model and system behaviour.
• Confident running training, workshops or knowledge-sharing sessions.
• A self-starter who owns problems end to end and enjoys working across the business.

Responsibilities

• Turn AI prototypes into production-grade tools that teams rely on.
• Run experiments to prove what works and evaluate new tools.
• Help engineering teams build faster with AI by embedding shared capabilities.
• Spot opportunities for shared platforms and reusable capabilities.
• Lead or participate in training sessions and knowledge sharing across teams.

Skills

Software/ML engineering

Productionizing prototypes

RAG pipelines

LLM applications

Python

TypeScript

AWS

CI/CD

IaC

Observability

Experimentation

Knowledge sharing

Tools

AWS

CI/CD

IaC

Job description

We’re recruiting on behalf of a global gaming and entertainment group. AI is a genuine priority here, with a company-wide transformation programme reshaping how teams across product and technology work.

What the role involves

You’ll join a newly formed AI Transformation team in Manchester, working alongside an established AI R&D group. Teams across the business are experimenting with AI, with dozens of initiatives in flight. Your job is to turn the most promising of those into real, supported tools that people rely on every day.

That means working with teams to take their prototypes and make them production-grade, then spotting where shared capability makes more sense than one-off solutions. You’ll run experiments to prove what works, evaluate new tools and techniques, and help engineering teams build faster with AI.

What we’re looking for

• Software/Machine Learning engineering background
• Experience taking AI prototypes or internal tools into production
• Hands‑on experience building RAG pipelines, agentic workflows or other LLM applications
• Strong Python and/or TypeScript, and comfortable picking up the other
• Hands‑on AWS experience with CI/CD, infrastructure as code and observability
• Experience building and using evals to measure model and system behaviour
• Confident running training, workshops or knowledge‑sharing sessions
• A self‑starter who owns problems end to end and enjoys working across the business.
• Experience building internal platforms is a bonus, but not essential.

Hybrid working, Manchester based, 2 days a week in the office.