ML model deployment jobs

Data Engineer

Smarkets · Posted Nov 9, 2026

Open

London, England, United Kingdom
3+ years

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Data Engineer

Smarkets · Posted Nov 9, 2026

Open

London, England, United Kingdom
3+ years

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AI Engineer

EXL · Posted Nov 5, 2026

Open

Noida, Uttar Pradesh, India
Senior
5+ years

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Looking for an experienced AI Engineer with strong Databricks expertise to build scalable ML/AI solutions. The role requires hands-on experience in model development, data analysis, and end-to-end ML pipelines.

Responsibilities

Build and deploy ML/AI models
Work on Databricks (Spark, Delta Lake, MLflow)
Perform data analysis & feature engineering
Develop end-to-end pipelines (ETL → model → deployment)
Implement MLOps & model monitoring

Skills

Python PySpark Databricks Spark SQL ML model development ML model deployment Data analysis Feature engineering Delta Lake MLflow

Associate Director, RDU IT - MLOps

AstraZeneca · Posted Nov 4, 2026

Open

Barcelona, Catalonia, Spain
On-site
Full-time · Manager
8+ years

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Lead strategy, architecture, delivery and governance of enterprise AI platform and accelerators in Barcelona, Spain.

Responsibilities

Architect and scale secure MLOps and LLMOps capabilities
Own product vision, roadmap and engineering delivery for RDU AI/ML platform
Ensure platform security, resilience, scalability and cost-effectiveness
Define and govern engineering standards and delivery patterns
Lead solution design and trade-offs

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field
Nice to have: Pharmaceutical industry experience
Nice to have: Master's degree or advanced education
Nice to have: AI techniques and tools including NLP, optimization, deep learning

Skills

Software engineering Cloud DevOps AI/ML engineering ML model deployment Production model maintenance

Data Engineer

Data Engineer

Compensation

Responsibilities

Requirements

Skills

Benefits

AI Engineer

Responsibilities

Skills

Associate Director, RDU IT - MLOps

Responsibilities

Requirements

Skills