Senior Machine Learning Engineer

Data Idols; City Of London; Hybride; GBP 80 000 - 110 000; Plein temps

Résumé du poste

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 ML lifecycle, from experimentation to deployment, monitoring, and optimisation in real environments.

You will collaborate with software and AI teams to bridge ML development and production engineering, focusing on performance, scalable infrastructure, and efficient Python workloads.

Qualifications

• Strong Python expertise and ML framework experience.
• Production-grade ML model deployment experience.
• Experience with Generative AI and modern ML technologies.
• Solid MLOps, CI/CD and model deployment knowledge.
• API development for ML applications.

Responsabilités

• Design, build and deploy high-performance ML solutions.
• Work across full ML lifecycle from experimentation to deployment.
• Establish robust MLOps practices for scalable production services.
• Improve Python workloads and model performance in production.
• Collaborate with engineering and AI teams to bridge ML and production engineering.

Connaissances

Excellent Python skills

Production ML experience

Generative AI experience

MLOps/CI-CD

ML APIs

Description du poste

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.

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 LearningIf 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