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Applied AI, Forward Deployed Machine Learning Engineer - London

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EMP:Technology
London
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MistralMistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute

We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Our teams are distributed between Europe, North America, Asia and the Middle East.

We are creative, low-ego and team-spirited.

About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

 The Applied AI team is Mistral's customer-facing technical organization.

We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.

 Our team combines deep ML expertise with strong customer engagement.

Habilidades

, operating like startup CTOs who own end-to-end project execution

By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.

 What you will do - You’ll individually help deploy into production use cases with a considerable business impact across various industries.

- You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

- You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-so.

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