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- 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, strong communication skills, and industry certifications.
- 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.
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.
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'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. 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 global 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.
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 in 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) in Newcastle upon Tyne 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) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data and ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data architecture and ML. Use mock interviews with friends or online platforms to get comfortable talking about your experience and how it relates to the role.
✨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 about their job search!
We think you need these skills to ace Hybrid Data & ML Architect (Enterprise AI) in Newcastle upon Tyne
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, AI strategies, and any relevant technologies like Azure or AWS. 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 data architecture project or an AI solution, we love seeing real-world applications of your skills. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process and ensures your application goes directly to us. Plus, it shows you're keen on joining our team!
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 these confidently will show that you're not just a candidate, but a potential expert.
✨Showcase Your Leadership Skills
As a Data & ML Architect, you'll need to demonstrate strategic leadership. Prepare examples from your past experiences where you've influenced data strategies or mentored junior team members. This will highlight your ability to lead and inspire others in a technical environment.
✨Prepare for Ethical AI Discussions
Given the emphasis on ethical AI in the role, be ready to discuss how you’ve approached ethical considerations in your previous projects. Think about scenarios where you ensured compliance and security while implementing AI solutions, as this will resonate well with the interviewers.
✨Engage with Stakeholders
Since stakeholder engagement is key, practice articulating complex technical concepts in simple terms. Prepare to discuss how you've translated business requirements into technical solutions in the past. This will demonstrate your communication skills and ability to bridge the gap between tech and business.