Applied AI, Forward Deployed Machine Learning Engineer - London

London, UK

About the role

About Mistral

Mistral 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 skills, 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-source codebases our open source codebases for tasks such as inference and fine-tuning.

- You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.

- Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

 

How We Work in Applied AI

 

- We care about people and outputs.

- What matters is what you ship, not the time you spend on it

- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.

- Always ask why. The best solutions come from deep understanding, not from copying what worked before

- We say what we mean. Feedback is direct, timely, and given because we care.

- No politics. Low ego, high standards.

- We embrace an unstructured environment and find joy in it.

 

About you

 

- You are fluent in English

- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products

- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases

- You have deep understanding of concepts and algorithms underlying machine learning and LLMs

- You have strong technical coding skills in Python

- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

 

Ideally you have:

- Contributed to open-source projects in particular in the space of LLMs

- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager

- You have experience with deep learning with Pytorch

Why join us?

 

You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

About Mistral AI

Mistral AI presents a suite of configurable large language models and AI services tailored for diverse enterprise applications. It offers both open-weight and commercially licensed models that support tasks such as advanced reasoning, code generation, multitasking across modalities, and chatbot interactions. The company delivers full-stack AI capabilities, spanning model customization, deployment via APIs, agent-based automation, and scalable infrastructure, enabling integration into existing enterprise systems. Responses draw on publicly available technical information and aim for clarity and neutrality.

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Job details

Location

London, UK

Company

NameMistral AI
IndustryAgentic AI
Team Size4

Funding

Total raised

$1.9B

Last stage

Series A

Investors

Andreessen Horowitz
Lightspeed Venture Partners
General Catalyst
AASML
DST Global

Founders

Timothée Lacroix

Timothée Lacroix

Co-founder

LinkedIn
Arthur Mensch

Arthur Mensch

CEO

LinkedIn
GL

Guillaume Lample

Co-founder

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.