AI/ML Production Engineer – End-to-End Python/AWS

Tenth Revolution Group

Greater London

Hybrid

GBP 85,000 - 100,000

Full time

3 days ago
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Benefits offered by this job

End-to-end ownership
Impactful work
Shape AI capability
Collaborative environment
Flexible working

Job summary

Tenth Revolution Group in London is seeking an AI Engineer / Machine Learning Engineer to apply and deploy AI/ML solutions in production, with autonomy and ownership. You will design, develop and deploy production-grade Python backends, build cloud-native apps on AWS, and manage data pipelines and ML workflows.

Join a small, high-performing team where ideas matter and delivery is prioritized. This hybrid role offers significant impact across the business and opportunities to shape the company’s

Qualifications

  • Commercial experience in ML or Data Science or backend engineering.
  • Experience deploying production AI/ML solutions.
  • Strong Python and cloud platform experience (AWS).

Responsibilities

  • Designing, building and deploying AI/ML solutions into production environments.
  • Developing scalable backend applications, APIs and services using Python.
  • Building cloud-native solutions within AWS environments.
  • Creating and maintaining data pipelines and machine learning workflows.
  • Monitoring, testing and optimising AI systems in production.
  • Collaborating closely with engineering, product and data teams.
  • Working across the full development lifecycle from design through to deployment and support.

Skills

Machine Learning / Data Science
Backend Engineering
Python development
AWS / Cloud

Tools

Docker
Databricks
AWS

Job description

Tenth Revolution Group in London is seeking an AI Engineer / Machine Learning Engineer to apply and deploy AI/ML solutions in production, with autonomy and ownership. You will design, develop and deploy production-grade Python backends, build cloud-native apps on AWS, and manage data pipelines and ML workflows.

Join a small, high-performing team where ideas matter and delivery is prioritized. This hybrid role offers significant impact across the business and opportunities to shape the company’s

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