Senior Machine Learning Engineer

Data Science Festival; Greater London; Hybrid; GBP 80,000 - 90,000; Full time

Job summary

Data Idols are partnering with an innovative technology business to hire a Senior Machine Learning Engineer in London. You will design, build and deploy production-grade ML solutions, spanning the full ML lifecycle from experimentation to deployment and monitoring.

The role focuses on Generative AI, MLOps, and scalable production systems, with emphasis on performance optimisation and close collaboration with software engineering and AI teams.

Qualifications

• Excellent Python skills and experience with frameworks.
• Experience building and deploying Machine Learning models in production.
• Experience working with Generative AI and modern Machine Learning technologies.
• Strong understanding of MLOps, CI/CD and model deployment.
• Experience building APIs for Machine Learning.

Responsibilities

• Design, build and deploy high-performance ML solutions across the full ML lifecycle.
• Deploy and monitor ML models in production with scalable, robust MLOps practices.
• Improve Python workloads and model performance in production environments.
• Collaborate with engineering and AI teams to bridge ML development and production engineering.

Skills

Python

MLOps

Generative AI

APIs for ML

CI/CD

Production deployment

Tools

CI/CD tools

APIs

Job description

Senior Machine Learning Engineer

Salary: £80,000 – £90,000

Location: London|Hybrid

Data Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help build, deploy and scale production-grade AI solutions.

This is an exciting opportunity to work at the intersection of Machine Learning and software engineering, taking sophisticated AI models from development through to scalable, real-world production environments.

The Opportunity

As a Senior Machine Learning Engineer, you’ll design, build and deploy high-performance Machine Learning solutions, working across modern AI and Generative AI technologies.

You’ll work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production. You’ll help establish robust MLOps practices and ensure Machine Learning services are scalable, reliable and performant. There will also be a strong focus on performance and optimisation, including improving Python workloads, infrastructure efficiency and the performance of models in production environments.

You’ll collaborate closely with engineering and AI teams to bridge the gap between Machine Learning development and production engineering.

Skills and Experience

• Excellent Python skills and experience with frameworks
• Experience building and deploying Machine Learning models in production
• Experience working with Generative AI and modern Machine Learning technologies
• Strong understanding of MLOps, CI/CD and model deployment
• Experience building APIs for Machine Learning

If you’re a Senior Machine Learning Engineer who enjoys taking sophisticated Machine Learning technology and turning it into scalable, production-ready solutions, we’d love to hear from you.

Senior Machine Learning Engineer