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# Data & ML Engineer - Newcastle

- **Company:** Accenture
- **Location:** Newcastle upon Tyne, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Visualization, DevOps, Distributed Systems, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Ansible, Scala (Programming Language), SQL Databases, Data Streaming, Tableau (Software), Google Cloud, Azure Data Factory, Snowflake, Prompt Engineering, Apache Spark, Deep Learning, Kubernetes, AWS Glue, Machine Learning Operations, Virtual Agents, Terraform, Data Pipelines, Powerapps, Apache Beam, Docker, Jenkins, Databricks
- **Published:** August 10, 2026
- **Apply:** https://jobs.theguardian.com/job/10169524/data-and-ml-engineer-newcastle/

## About the Role

* At least 3 years experience with large-scale data challenges (big data, distributed systems)
 * Hands-on with Infrastructure-as-Code (Terraform, Ansible)
 * Agile and Waterfall project experience
 * Strong stakeholder management and communication skills
 * Security and compliance awareness

Desirable

 * Experience in client-facing roles
 * Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer)
 * Experience mentoring or managing teams

## Description

As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You'll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies., * Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks.

 * Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments.
 * Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services.
 * Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance.
 * Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform.
 * Visualize and communicate insights using Power BI, Tableau, and PowerApps.
 * Mentor junior engineers and contribute to internal knowledge sharing.
 * Ensure solutions meet security, compliance, and performance standards.

Qualification

Core Data & AI Skills

 * Python, SQL, Spark, Scala
 * Machine Learning, NLP, Deep Learning, Prompt engineering, Agentic AI
 * Data Architecture, Data Modelling, Data Engineering, Data Analysis

DevOps & Engineering

 * CI/CD and MLOps (Azure DevOps, GitHub actions, Jenkins, Kubeflow etc)
 * Infrastructure as Code (Terraform, Ansible etc)
 * Containers (Kubernetes, Docker etc)

Certifications & Tools

 * Data Visualisation and UI (Power BI, PowerApps, Tableau etc)
 * Data Science Platforms (Databricks, Snowflake etc)
 * Cloud certifications (Azure, AWS, GCP)
 * Cloud Native Data Engineering (Azure Data Factory, AWS Glue, GCP Dataflow etc)


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