About the role
Data & ML Engineer Newcastle (Hybrid) Build intelligent data products. Deploy real-world AI. Scale modern data platforms.
Do not wait to apply after reading this description a high application volume is expected for this opportunity.
A global consultancy is expanding its data capability and hiring a Data & ML Engineer to deliver high-impact solutions across enterprise clients.
This is a hands-on engineering role where youll design pipelines, deploy machine learning models, and help shape modern AI-driven systems.
What youll be doing Build and optimise data pipelines and ML workflows
Develop and deploy ML models (NLP, deep learning, AI applications)
Work with streaming and batch data pipelines across cloud platforms
Implement CI/CD and MLOps frameworks
Collaborate with cross-functional teams to deliver data-driven solutions
Support data modelling, governance, and quality initiatives
What were looking for Experience with Python, SQL, Spark (and ideally Scala)
Hands-on delivery of ML solutions in production
Exposure to cloud platforms (AWS, Azure, or GCP)
Understanding of DevOps, containers, and Infrastructure-as-Code xwzovoh
Strong problem-solving and stakeholder communication skills
The offer Work on cutting-edge AI and ML projects
Opportunity to grow within a high-performing engineering team
Hybrid working model (Newcastle-based)
Strong benefits and development opportunities
Requirements: 3+ years experience, eligibility for UK security clearance.
Do not wait to apply after reading this description a high application volume is expected for this opportunity.
A global consultancy is expanding its data capability and hiring a Data & ML Engineer to deliver high-impact solutions across enterprise clients.
This is a hands-on engineering role where youll design pipelines, deploy machine learning models, and help shape modern AI-driven systems.
What youll be doing Build and optimise data pipelines and ML workflows
Develop and deploy ML models (NLP, deep learning, AI applications)
Work with streaming and batch data pipelines across cloud platforms
Implement CI/CD and MLOps frameworks
Collaborate with cross-functional teams to deliver data-driven solutions
Support data modelling, governance, and quality initiatives
What were looking for Experience with Python, SQL, Spark (and ideally Scala)
Hands-on delivery of ML solutions in production
Exposure to cloud platforms (AWS, Azure, or GCP)
Understanding of DevOps, containers, and Infrastructure-as-Code xwzovoh
Strong problem-solving and stakeholder communication skills
The offer Work on cutting-edge AI and ML projects
Opportunity to grow within a high-performing engineering team
Hybrid working model (Newcastle-based)
Strong benefits and development opportunities
Requirements: 3+ years experience, eligibility for UK security clearance.
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