Machine Learning Engineer — Cloud AI Solutions

Datatonic; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Gym discounts

WFH allowance

Udemy access

Pension scheme

Income protection

Cycle to Work

Job summary

Datatonic, Google's premier partner in AI, is seeking a Machine Learning Engineer in the Greater London area. You'll write production-grade Python code, build ML models, and lead client discussions.

This hands-on role combines data science with software engineering in a consulting environment. You should have 1–3 years of ML experience, strong Python, familiarity with cloud platforms, ML deployment, and solid SQL skills.

Qualifications

• 1–3 years experience as a Machine Learning Engineer.
• Strong Python backend coding in production-ready pipelines.
• Experience with ML model deployment and monitoring.
• Ability to lead client discussions and projects.
• Excellent communication and consulting skills.

Responsibilities

• Translate requirements into ML models for real-world problems.
• Data Science: conduct ML experiments using libraries.
• Optimisation: optimise ML solutions for performance and scalability.
• Custom Code: implement tailored ML code for specific needs.
• Data Engineering: ensure efficient data flow between databases and backends.
• MLOps: automate ML workflows with testing and reproducibility.
• ML Architecture Design: create architectures using Google Cloud tools.
• Engineering Software for Production: build and deploy production-grade ML software.

Skills

Python

CI/CD

Cloud platforms

SQL

MLOps

Tools

Flask

TensorFlow

PyTorch

Job description

Datatonic, Google's premier partner in AI, is seeking a Machine Learning Engineer in the Greater London area. You'll write production-grade Python code, build ML models, and lead client discussions.

This hands-on role combines data science with software engineering in a consulting environment. You should have 1–3 years of ML experience, strong Python, familiarity with cloud platforms, ML deployment, and solid SQL skills.