Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of scalable data platforms and advanced machine learning solutions.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Work with cutting-edge tech and make a real impact in a vibrant environment.
- Qualifications: 8+ years in data architecture and strong stakeholder management skills required.
- Other info: Hybrid working model with opportunities for career growth and mentoring.
The predicted salary is between 60000 - 80000 £ per year.
Role: Data & ML Architect
Location: Newcastle Upon Tyne
Levels: Associate Manager
Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application.
Hybrid Working: This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week.
As a team:
- Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high quality services to a number of private and public sector clients.
- You will 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.
Role Overview
As a Data & ML Architect, you will lead the design and architecture of scalable, enterprise-grade data platforms and advanced machine learning solutions. You will define and drive data and AI strategies, architect intelligent data products, and ensure alignment with business objectives. Leveraging modern cloud, AI, and ML technologies, you will deliver robust, secure, and future-proof data architectures that enable business transformation.
Key Responsibilities
- Strategic Leadership: Set the vision and direction for data and AI architecture for project and client. Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture. Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.
- Architectural Excellence: Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance. Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms. Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.
- AI & ML Leadership: Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products. Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.
- Technical Leadership: Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implement technical reviews and drive high standards. Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).
- Stakeholder Engagement: Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps. Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.
- Innovation & Emerging Technologies: Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.
- Technical Expertise: Recognised as an expert in Data Architecture, Modelling, Engineering, and Analysis at scale. Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks (Azure DevOps, GitHub Actions, Jenkins, Kubeflow) with experience of real world model lifecycle management. Infrastructure as Code (Terraform, Ansible) for data platform provisioning and management. Container orchestration (Kubernetes, Docker) in data and ML environments.
Certifications & Tools: Familiarity with data visualization and UI tools (Power BI, PowerApps, Tableau). Experience with data science platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and cloud-native data engineering tools (Azure Data Factory, AWS Glue, GCP Dataflow).
Other Requirements: Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles. Experience in both Agile and Waterfall project environments. Strong stakeholder management and communication skills. Security and compliance awareness. Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer). Experience mentoring or managing technical teams.
What’s In It For You: At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 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 to enable delivery of the first-class services we are known for.
Hybrid Data & ML Architect (Enterprise AI) employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data & ML Architect (Enterprise AI)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Accenture. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, experiences, and how you've tackled challenges in data and ML. Let them see the real you and what you can bring to the table.
✨Prepare for the Interview
Do your homework on Accenture and the role. Understand their values and recent projects. Prepare some thoughtful questions to ask during the interview – it shows you're genuinely interested and engaged!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest roles and updates there.
We think you need these skills to ace Hybrid Data & ML Architect (Enterprise AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & ML Architect role. Highlight your experience with data platforms, machine learning, and any relevant cloud technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience in mentoring and leading teams, as that’s key for us.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your work with data and AI solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest data and ML technologies mentioned in the job description. Brush up on your knowledge of Azure, AWS, GCP, and tools like Power BI and Databricks. Being able to discuss specific projects or experiences where you've used these technologies will show your expertise.
✨Showcase Your Leadership Skills
As a Data & ML Architect, you'll need to demonstrate strategic leadership. Prepare examples of how you've influenced data strategies or mentored junior team members in the past. This will highlight your ability to lead and inspire others, which is crucial for this role.
✨Understand the Business Context
Familiarise yourself with Accenture's business model and how data architecture fits into their overall strategy. Be ready to discuss how your work can drive business transformation and align with client objectives. This shows that you’re not just a techie but also understand the bigger picture.
✨Prepare for Ethical AI Discussions
Given the emphasis on ethical AI in the role, be prepared to discuss your views on responsible AI practices. Think about examples where you've implemented ethical considerations in your projects. This will demonstrate your commitment to safe and responsible technology use.