Senior ML Engineer — AI, Cloud & Impact (Hybrid)

Datatonic; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

25 days holiday

Private health insurance

Gym membership discounts

WFH allowance

Pension scheme

Life Insurance

Income protection

Cycle to work

Tech scheme

Job summary

Datatonic is seeking a Senior Machine Learning Engineer to shape AI and data initiatives for top clients. You will craft production-grade Python models, optimize ML pipelines, and lead client discussions. The role blends hands-on development with project leadership and strategic impact.

You will work across ML, data engineering, and MLOps, deploying on Google Cloud and other cloud platforms, ensuring scalable, reliable solutions that deliver real business value.

Qualifications

• 4+ years as a Machine Learning Engineer, preferably in a consulting background.
• Proficiency in Python and delivering production-ready code with CI/CD pipelines.
• Familiarity with Google Cloud, AWS or Azure.

Responsibilities

• Translate requirements into ML models for real-world problems.
• Conduct ML experiments and leverage ML libraries.
• Lead projects and guide client discussions.
• Oversee project scoping and delivery of engagements.
• Design ML architectures using Google Cloud tools.

Skills

ML algorithms

Python

Cloud platforms

Data engineering

SQL

MLOps

Communication

Tools

Flask

CI/CD

Google Cloud

AWS

Azure

Job description

Datatonic is seeking a Senior Machine Learning Engineer to shape AI and data initiatives for top clients. You will craft production-grade Python models, optimize ML pipelines, and lead client discussions. The role blends hands-on development with project leadership and strategic impact.

You will work across ML, data engineering, and MLOps, deploying on Google Cloud and other cloud platforms, ensuring scalable, reliable solutions that deliver real business value.