Applied ML Engineer, EMEA - Build Real-World AI Solutions

Fireworks AI

Greater London

On-site

GBP 90,000 - 140,000

Full time

3 days ago
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Job summary

Fireworks AI is seeking an Applied Machine Learning Engineer to bridge cutting-edge AI research with real-world deployments. You will develop, fine-tune, and operationalize ML models that drive business value and enhance user experiences, while maintaining a strong customer focus.

You will collaborate with GTM teams, build PoCs, design end-to-end AI applications, and contribute to platform features and model enablement.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of software engineering experience, with customer-facing focus.
  • Strong Python skills demonstrated in production environments.
  • Proven ability to lead and deliver complex technical projects with customer focus.
  • Excellent interpersonal and communication skills in cross-functional teams.

Responsibilities

  • Collaborate with GTM team to ensure successful deployment of ML solutions.
  • Build and present PoCs showcasing AI capabilities.
  • Design, develop, and deploy end-to-end AI-powered applications.
  • Contribute to the ML platform with new features and bug fixes.
  • Integrate and enable new machine learning models in client environments.
  • Improve performance and scalability of deployed models and apps.
  • Work with partners to enable joint AI solutions.

Skills

Python
Software engineering
Customer facing
Leadership
Cross-functional teamwork

Education

Bachelor's degree in CS/Engineering
Master's degree (preferred)

Job description

Fireworks AI is seeking an Applied Machine Learning Engineer to bridge cutting-edge AI research with real-world deployments. You will develop, fine-tune, and operationalize ML models that drive business value and enhance user experiences, while maintaining a strong customer focus.

You will collaborate with GTM teams, build PoCs, design end-to-end AI applications, and contribute to platform features and model enablement.

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