Data & ML Architect, Newcastle Upon Tyne

Data & ML Architect

2 Days Old

Role Data & ML Architect LocationNewcastle Upon Tyne LevelsAssociate Manager Please NoteDue 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 WorkingRole will require you to work from Newcastle, Cobalt Business Park office for a minimum of 3 days per week. 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

Set the vision and direction for data and AI architecture for projects and clients. 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 safely.

Technical Leadership

Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks, implementing technical reviews and driving 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, streaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.

Qualifications

Expertise in Data Architecture, Modelling, Engineering, and Analysis at scale. Extensive experience 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 real‑world model lifecycle management. Infrastructure as Code experience (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. Experience in both Agile and Waterfall project environments. Strong stakeholder management and communication skills. Security and compliance awareness. Industry certifications such as AWS Solution Architect, Azure Data Engineer, GCP Data Engineer. Experience mentoring or managing technical teams.

Benefits Competitive basic salary, 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. #J-18808-Ljbffr

Apply

Location:: Newcastle Upon Tyne
Job Type:: FullTime

Start a New Search