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Full Stack LLM Development Manager

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Accenture UK & Ireland
Full Time position
Listed on 2026-01-26
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Job Description & How to Apply Below
Location: City of Edinburgh

Overview

Role: Full Stack LLM Development Manager

Location: Edinburgh

Salary: Competitive salary and package dependent on experience

Career Level: Manager

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture:
We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You ll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level.

You ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you.

As part of our team, you ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Your background will involve contributing across projects including software engineering, technology architecture solution implementation, product selection and application strategy definition, or the introduction of technology to drive business improvement into an operational organisation.

Our team has the remit to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services.

Responsibilities
  • How to help clients to use AI/ML technologies to solve business challenges
  • How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges
  • The latest technology solutions from industry and academia and how to apply them to solve real world customer problems
As a Full Stack LLM Development Manager, you will
  • Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies and engineering patterns
  • Work in multi-disciplinary teams to build complex solutions working from inception through to production and operations
  • Contribute to the technology strategy and solution design, managing and supporting other developers
  • Contribute to the Accenture Data & AI community, sharing insights and experience of using emerging technologies on client deliveries and through research
We are looking for experience in the following skills and experience
  • AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, …
  • Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models
  • Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA, …) on one or more cloud platforms
  • SW Engineering and Dev Sec Ops
Set yourself apart
  • Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty).
  • Building PoCs to aid…
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