Data & ML Engineer

Overview

Role: Data & ML Engineer
Location: Newcastle Upon Tyne
Levels: Senior Analyst, Specialist

Experience Level: 3+ years

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: Please note - This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week

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 Dev Ops teams to automate CI/CD and MLOps processes using Azure Dev Ops, Kubernetes, and Terraform.
• Visualize and communicate insights using Power BI, Tableau, and Power Apps.
• Mentor junior engineers and contribute to internal knowledge sharing.
• Ensure solutions meet security, compliance, and performance standards.

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

• CI/CD and MLOps (Azure Dev Ops, Git Hub actions, Jenkins, Kubeflow etc)
• Infrastructure as Code (Terraform, Ansible etc)
• Containers (Kubernetes, Docker etc)

• Data Visualisation and UI (Power BI, Power Apps, 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)

• 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

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

  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.