Hybrid Data & AI Engineer — Build Enterprise AI Solutions

Nigel Frank; Greater London; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Hybrid working

Career progression

Modern AI projects

Benefits package

Job summary

Nigel Frank is seeking a Data & AI Engineer for London, offering a hybrid work arrangement. The role focuses on designing, building and deploying enterprise-scale AI solutions across Azure, AWS or GCP, with opportunities to lead in ML projects.

You will work across the full ML lifecycle, from data prep to deployment, leveraging Python, SQL and popular ML frameworks to deliver data-driven products for diverse clients.

Qualifications

• Commercial AI or ML experience.
• Strong Python and SQL skills.
• Experience with TensorFlow, PyTorch or similar frameworks.
• Understanding of ML and model deployment.
• Experience with Azure, AWS or GCP.
• Knowledge of data pipelines, ETL and MLOps.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop and deploy AI/ML solutions across the full ML lifecycle.
• Build scalable pipelines using Python, SQL and ML frameworks.
• Evaluate models and support cloud-based AI deployments across Azure/AWS/GCP.
• Contribute to MLOps practices and production deployments.
• Collaborate with engineers and stakeholders to turn requirements into AI solutions.

Skills

Python

SQL

TensorFlow

PyTorch

ML deployment

MLOps

Tools

Azure

AWS

GCP

Job description

Nigel Frank is seeking a Data & AI Engineer for London, offering a hybrid work arrangement. The role focuses on designing, building and deploying enterprise-scale AI solutions across Azure, AWS or GCP, with opportunities to lead in ML projects.

You will work across the full ML lifecycle, from data prep to deployment, leveraging Python, SQL and popular ML frameworks to deliver data-driven products for diverse clients.