AI & ML Engineer — Hybrid, Growth & Cutting-Edge AI

Nigel Frank

Greater London

Hybrid

GBP 67,500 - 82,500

Full time

14 days+
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Benefits offered by this job

Hybrid and flexible working
Cutting-edge AI projects
Professional certifications and培训
Structured career progression
Modern technologies exposure
Competitive benefits

Job summary

Nigel Frank is seeking an AI & ML Engineer at multiple levels for London (Hybrid) with Python, SQL, TensorFlow, PyTorch expertise. The role offers up to £75,000 and exposure to Azure, AWS and GCP. This is a chance to work on enterprise AI solutions and leverage advanced analytics within a collaborative tech team.

You will develop end-to-end ML pipelines, deploy models, and contribute to scalable data platforms across major cloud environments, with clear career progression and ongoing training.

Qualifications

  • Commercial experience building and deploying AI/ML solutions.
  • Strong Python and SQL skills.
  • Experience with TensorFlow, PyTorch, Scikit-learn.
  • Experience with cloud environments (Azure, AWS, GCP).
  • Knowledge of data pipelines and ETL processes.
  • Familiarity with MLOps and model deployment.

Responsibilities

  • Build and deploy AI/ML solutions end-to-end.
  • Design and implement AI/ML pipelines from data to deployment.
  • Develop scalable ML pipelines and engineering frameworks.
  • Train, evaluate, optimize and deploy AI models.
  • Work with Azure, AWS and GCP cloud platforms.
  • Collaborate with client stakeholders and delivery teams.

Skills

Python
SQL
TensorFlow
PyTorch
Scikit-learn
MLOps
Azure
AWS
GCP

Job description

Nigel Frank is seeking an AI & ML Engineer at multiple levels for London (Hybrid) with Python, SQL, TensorFlow, PyTorch expertise. The role offers up to £75,000 and exposure to Azure, AWS and GCP. This is a chance to work on enterprise AI solutions and leverage advanced analytics within a collaborative tech team.

You will develop end-to-end ML pipelines, deploy models, and contribute to scalable data platforms across major cloud environments, with clear career progression and ongoing training.

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