Rodeo
Get started

Mistral

Applied AI, Forward Deployed Machine Learning Engineer - London

London
Posted about 19 hours ago
Sign up to applySee more jobs like this
Get notified of more jobs like this · No spam, ever

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job 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 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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 a 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.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

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.
  • 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.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Location

London, England, United Kingdom

Sign up to applySee more jobs like this