AI/ML Computational Science Manager
Job Description
Role: AI/ML Computational Science Manager Location: Glasgow Salary: Competitive salary and package dependent on experience Career Level: Manager (CL7) 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 thatthrives on shared success, diverse ways of thinking and enables boundaryless opportunitiesthat candrive 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. In our team, you will:- 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
- You will 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.
- You will focuses on formulating real-world problems into practical, efficient and scalable solutions that can 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, shaping technology roadmaps, mentoring other developers, and fostering team growth. While ensuring the correct ML & AI architecture and models are used to solve the required problem.
- 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.
- AI/ML platform technologies and services such as Sagemaker, Vertex, Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, and vector databases.
- Driving literature reviews then build proof-of-concepts to validate hypotheses and thus 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.
- 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.
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