Data & ML Engineer

Data & ML Engineer – Newcastle

Accenture UK & Ireland –

Location:

Newcastle Upon Tyne – Role:
Data & ML Engineer – Seniority level:
Senior Analyst / Specialist –

Employment type:

Full‑time – Job function:
Engineering and Information Technology – Industries: IT Services and IT Consulting.

Due to the nature of client work you will need to undergo a Security Clearance (including BPSS) as part of this role, requiring 5+ years UK address history at the point of application.

The role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week.

As part of a global team at Accenture’s Advanced Technology Centre, you will deliver high‑quality services to private and public sector clients.

• 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.
• Visualise 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)

• 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

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 required: may need to spend time onsite with clients and partners.