Role
AI/ML Computational Science Manager
Location
London
Salary
Competitive salary and package dependent on experience
Career Level
Manager (CL7)
Responsibilities
- 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.
- Interpret the latest technology solutions from industry and academia and apply them to real world customer problems.
- Manage AI/ML Computational Science practice.
- Oversee the 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.
- Focus on formulating real‑world problems into practical, efficient and scalable solutions that appropriately leverage the full AI & ML spectrum, e.g., GenAI, CV, NLP, Simulation, LLMs, VLMs, etc.
- Lead multi‑disciplinary 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 other developers, and foster team growth while ensuring the 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.
Qualifications
- Significant experience in AI/ML platform technologies and services such as Sagemaker, Vertex, Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, and vector databases.
- Ability to conduct literature reviews, build proof‑of‑concepts, and validate hypotheses to inform AI/ML implementation architectural patterns and best practices for 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, DevSecOps, and operational excellence in AI/ML solution delivery.
Set yourself apart
- 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 in leading teams and influencing cross‑functional stakeholders in delivering production‑grade AI/ML solutions.
Benefits
Accenture offers a competitive basic salary, 30 days’ vacation per year, private medical insurance and an additional 3 days leave per year for charitable work.
Flexibility and mobility
Flexibility and mobility are required to spend time onsite with clients and partners.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.Accenture is committed to providing veteran employment opportunities to our service men and women.Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Closing Date for Applications
30/04/26
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