AI​/ML Computational Science Manager

Role Overview

AI/ML Computational Science Manager

Location:

Glasgow

Salary:
Competitive salary and package dependent on experience

Career Level:

Manager (CL7)

• Help clients use AI/ML technologies to solve business challenges
• Design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges
• Apply latest technology solutions from industry and academia to solve real world customer problems
• Manage the AI/ML Computational Science practice
• Oversee development of use‑case and platform technology solutions to tackle critical business challenges, using both reference and emerging technologies, engineering patterns, AI services and ML techniques
• Formulate real‑world problems into practical, efficient, and scalable solutions that appropriately leverage the full AI & ML spectrum (GenAI, CV, NLP, Simulation, LLMs, VLMs, etc.)
• Lead multidisciplinary teams to deliver complex solutions from inception to production and operationalization, ensuring alignment with client needs and technical excellence
• Provide strategic and technical leadership, shape technology roadmaps, mentor developers, and foster team growth while ensuring correct ML & AI architecture and models are used
• Play a pivotal role in the Accenture Data & AI community, driving thought leadership by sharing insights and experiences from cutting‑edge client projects and research initiatives

• Significant experience with AI/ML platform technologies and services such as Sage Maker, Vertex AI, Azure ML, OpenAI, Lang Chain, AutoML, OCR, STT, feature stores, and vector databases
• Experience driving literature reviews and building proof‑of‑concepts to validate hypotheses, informing AI/ML implementation architectural patterns, testing and evaluating new models, model combinations, and engineering patterns, including data drift detection, experimentation tracking, RAG, and deployment models
• Designing and deploying robust, scalable, and secure cloud‑based solutions (networking, security, storage, monitoring, scaling, disaster recovery/high availability) on one or more cloud platforms
• Software engineering, Dev Sec Ops , and operational excellence in AI/ML solution delivery

• Proven ability to deliver enterprise‑scale AI/ML services that impact end‑user experiences and business outcomes
• Certified cloud Machine Learning credentials (e.g., AWS Certified Machine Learning – Specialty)
• Experience leading teams and influencing cross‑functional stakeholders in delivering production‑grade AI/ML solutions

• Flexibility and mobility required to spend time onsite with clients and partners to deliver first‑class services

Competitive base salary and extensive benefits package including 30 days’ vacation per year, private medical insurance, and 3 extra days leave per year for charitable work of your choice.