At a Glance
- Tasks: Deploy cutting-edge AI solutions and tackle complex technical challenges with enterprise clients.
- Company: Join Mistral, a dynamic team passionate about transforming society through AI.
- Benefits: Comprehensive benefits package including healthcare, wellness programs, and work-life balance support.
- Other info: Collaborative environment with opportunities for innovation and career growth.
- Why this job: Shape the future of AI in enterprises and contribute to impactful open-source projects.
- Qualifications: 2+ years in AI product implementation, strong Python skills, and excellent communication abilities.
The predicted salary is between 72000 - 88000 £ per year.
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 an 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 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.
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Applied AI, Forward Deployed Machine Learning Engineer - London employer: Mistral
Mistral is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and diverse teams come together to tackle complex challenges in AI. As a Recruiting Operations Manager, you will benefit from a comprehensive package of perks tailored to support your well-being and professional growth, all while working in a company that values creativity and continuous improvement. With opportunities for meaningful contributions and a commitment to employee development, Mistral stands out as a rewarding place to advance your career in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI, Forward Deployed Machine Learning Engineer - London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mistral or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mistral.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mistral.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mistral that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI, Forward Deployed Machine Learning Engineer - London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mistral.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mistral and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Mistral
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mistral uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
