Full Stack LLM Development Associate Manager at Accenture
Glasgow, Scotland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

0.0

Posted On

10 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Stt, Mobility, Architectural Patterns

Industry

Information Technology/IT

Description

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 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.

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 DevSecOps

How To Apply:

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Responsibilities

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