Applied AI, Forward Deployed Machine Learning Engineer - EMEA

Mistral AI
City of London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science and Innovation Manager

Data Science and Innovation Manager

Data Scientist Internship - 12-month Placement

Data Scientist

Senior Data Scientist

Data Scientist II - QuantumBlack Labs

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, Forward Deployed Machine Learning Engineer will be an integral part of our Applied AI team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use‑cases. They will work hand‑in‑hand with customers from the pre‑sale stage to post‑implementation, ensuring our solutions meet and exceed client expectations.


In this role, you’ll manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.


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

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!


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.