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For Companies At a Glance
- Tasks: Lead AI/ML projects, solving real-world business challenges with cutting-edge technology.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy 30 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Make a significant impact by shaping AI/ML solutions across diverse industries.
- Qualifications: Experience in AI/ML technologies and proven leadership skills required.
- Other info: Flexible working environment with opportunities for career growth and development.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Role Overview
AI/ML Computational Science Manager (Manager, CL7) – Glasgow
Salary: Competitive salary and package dependent on experience.
Accenture is a leading global professional services company with expertise in strategy and consulting, interactive, technology and operations. 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.
“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.
Our 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 will work on innovative projects with colleagues to drive collaboration from strategy through to implementation, using the latest technologies with a particular focus on AI and GenAI, to help clients reach their 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.
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.
- Apply the latest technology solutions from industry and academia to solve real world customer problems.
- Manage the 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.
- Formulate real‑world problems into practical, efficient and scalable solutions that 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 operationalisation, 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.
Key Experience and Qualifications
- Experience with 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 to validate hypotheses and inform AI/ML implementation architectural patterns and best practices, 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 leading teams and influencing cross‑functional stakeholders in delivering production‑grade AI/ML solutions.
Benefits
In addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days\’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice.
Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners.
Equal Opportunity Statement
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
Closing Date for Applications
28/11/25
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AI/ML Computational Science Manager employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Computational Science Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML scenarios and case studies. Practice explaining complex concepts in simple terms – it shows you really know your stuff!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI/ML Computational Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Computational Science Manager role. Highlight relevant experience and skills that align with the job description, especially in AI/ML technologies and leadership.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background makes you a perfect fit for Accenture. Don’t forget to mention how you can contribute to their mission.
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to showcase them. Include specific examples of how you've solved real-world problems using AI/ML technologies, as this will demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to the right team at Accenture!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your AI/ML Stuff
Make sure you brush up on the latest AI and ML technologies mentioned in the job description, like Sagemaker and Azure ML. Be ready to discuss how you've used these tools in past projects and how they can solve real-world business challenges.
✨Showcase Your Leadership Skills
As a manager, you'll need to demonstrate your ability to lead multi-disciplinary teams. Prepare examples of how you've successfully managed teams in the past, focusing on your strategic and technical leadership skills.
✨Understand Accenture's Values
Familiarise yourself with Accenture's core values such as inclusion, diversity, and client value creation. Be prepared to discuss how your personal values align with theirs and how you can contribute to their culture.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach formulating practical solutions to complex AI/ML challenges and be ready to articulate your thought process clearly.
