Senior Machine Learning Engineer

Data Idols; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

Data Idols in London is seeking a Senior Machine Learning Engineer to design, build and deploy production-grade AI solutions. You will work across the full ML lifecycle, from experimentation to deployment, monitoring and optimisation, with a focus on performance and scalable MLOps.

You will collaborate with engineering and AI teams to bridge ML development and production, applying Generative AI techniques and optimizing Python workloads in a hybrid, London-based environment.

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 Machine Learning solutions.
• Work across the full ML lifecycle from experimentation to deployment, monitoring and optimisation.
• Collaborate with engineering and AI teams to bridge ML development and production engineering.

Skills

Python

Production ML

Generative AI

MLOps

CI/CD

APIs

Tools

APIs

CI/CD pipelines

Job description

Senior Machine Learning Engineer

Salary: £80,000 - £110,000

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.

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.