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AI Engineer​/AI Analyst

Job in City Of London, Central London, Greater London, England, UK
Listing for: LNW Gaming UK Limited
Part Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 50000 - 75000 GBP Yearly GBP 50000.00 75000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer / AI Analyst
Location: City Of London

Position Summary

Step into a high-impact role where engineering meets innovation. As an AI Engineer / Analyst, you’ll play a key part in evaluating, building, and scaling AI solutions that drive real business value. From exploring cutting‑edge tools to embedding AI into enterprise systems, you’ll help shape how AI is adopted across the organisation. This is a unique opportunity to work at the intersection of technology, governance, and strategy ensuring AI is not only powerful, but responsible, secure, and scalable.

We're looking for people who are full of ideas, want to challenge the norm and work to our core values… Dare to be Bold, Uphold Integrity, Never Settle, Celebrate Perspectives, and Win as a Team.

Roles and Responsibilities
  • Explore and evaluate emerging AI tools, platforms, and agent‑based solutions to identify opportunities for the business.
  • Design, build, and integrate AI‑powered workflows, services, and applications into enterprise systems.
  • Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails.
  • Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards.
  • Collaborate with teams across Architecture, Security, Dev Ops, Legal, Privacy, and the wider business to deliver well‑rounded AI solutions.
  • Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables.
  • Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation.
  • Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit‑ready standards.
  • Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams.
  • Contribute to continuous improvement of AI governance, development practices, and delivery frameworks.
What you bring to the role
  • Experience across software engineering, AI/ML, or related enterprise technology environments.
  • Strong hands‑on development skills (e.g., Python and/or Type Script/Node.js), with experience building APIs, services, and integrations.
  • Practical experience working with Generative AI and LLM‑based applications (e.g., agents, embeddings, prompt design, RAG architectures).
  • Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services).
  • An understanding of how to design and orchestrate AI‑driven workflows or automation solutions within business environments.
  • A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs.
  • Strong documentation and organisational skills, with attention to detail and an ability to create audit‑ready artefacts.
  • Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security.
  • Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation).
  • Strong communication skills, with the ability to collaborate effectively across technical and non‑technical stakeholders.
  • A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape.
What you’ll gain

The opportunity to work on enterprise‑scale AI initiatives with real business impact.

Exposure to cutting‑edge tools, platforms, and AI development practices.

A collaborative environment working across engineering, governance, and business teams.

The chance to help shape a trusted, scalable, and future‑ready AI ecosystem.

Qualifications
  • AI related course.
  • Desirable:
    Experience with LLM orchestration frameworks (e.g., Lang Chain, Llama Index, Semantic Kernel).
  • Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act).
  • Exposure to AI cost management or usage optimisation practices.
  • Experience with multi‑agent systems, observability tools, or AI evaluation frameworks.
  • Knowledge of API architecture patterns or multi‑tenant system design.
What can we offer you?
  • Annual performance bonus.
  • 25 days holiday plus bank holidays.
  • Hybrid working (3 days a week in the…
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