Data & ML Engineer — Hybrid, Cloud-Ready

Anson Mccade; North East; Hybrid; GBP 40,000 - 55,000; Full time

Benefits offered by this job

25 days holiday per year

Extensive benefits package

Ongoing training for progression

Job summary

Anson Mccade in Newcastle is seeking a Data & Machine Learning Engineer to build scalable data pipelines and deploy ML models in production. You will work with cloud platforms to ingest, transform and analyze data, turning complex information into actionable insights.

The role offers hybrid working in Newcastle, a salary up to £55,000, 25 days of holiday, extensive benefits and ongoing training to support your career progression.

Qualifications

• Experience in data engineering, ML or applied AI roles.
• Strong skills in Python and SQL, with exposure to big data or ML frameworks.
• Experience working with cloud platforms such as Azure, AWS or GCP.
• Understanding of CI/CD, MLOps or infrastructure‑as‑code practices.
• Confidence communicating technical concepts to non‑technical audiences.
• Eligible for SC clearance (5+ years continuous UK residency)

Responsibilities

• Building and maintaining scalable data pipelines that support analytics and machine learning.
• Developing and deploying machine learning models into production environments.
• Working with cloud platforms to ingest, process and transform data at scale.
• Collaborating with engineers, analysts and stakeholders to deliver end‑to‑end solutions.
• Supporting good engineering practice across testing, automation and deployment.
• Contributing to Agile delivery through teamwork and continuous improvement

Skills

Python

SQL

MLOps

CI/CD

Tools

Azure

AWS

GCP

Job description

Anson Mccade in Newcastle is seeking a Data & Machine Learning Engineer to build scalable data pipelines and deploy ML models in production. You will work with cloud platforms to ingest, transform and analyze data, turning complex information into actionable insights.

The role offers hybrid working in Newcastle, a salary up to £55,000, 25 days of holiday, extensive benefits and ongoing training to support your career progression.