At a Glance
- Tasks: Drive AI adoption in science projects, collaborating with customers from vision to deployment.
- 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: Opportunity for travel and collaboration across global teams.
- Why this job: Shape the future of AI in high-stakes industries and make a real-world impact.
- Qualifications: 2+ years in a technical role with strong AI science background and problem-solving skills.
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 such as 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.
The Role
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral's AI solutions for science-heavy projects, working closely with customers from strategic vision to production implementation in domains such as computer vision, robotics, and embodied AI.
This role sits at the intersection of deep technical expertise, business strategy, and hands‑on deployment, ensuring our customers achieve transformative outcomes in specialized AI applications.
You will partner with senior executives to design AI roadmaps for science-driven use cases, collaborate with the Applied AI and Research teams to deliver solutions in production, and ensure seamless transitions from presales to postsales.
Your work will directly contribute to expanding Mistral's capabilities in cutting‑edge AI domains.
This role is ideal for those who thrive in a fast‑paced environment, enjoy solving complex technical challenges in specialized domains, and are passionate about turning AI science into real‑world impact.
What You Will Do
- Strategic Discovery & Vision Setting
- Lead executive-level workshops to identify science-specific business challenges and opportunities where Mistral's AI can drive step-change improvements in vision, robotics, embodied AI, and other specialized domains.
- Co-create AI adoption roadmaps with customers, articulating the "art of the possible" in science applications and a clear path to value.
- Collaborate with Account Executives to develop business cases for technically complex, science-driven solutions, quantify ROI, and align with customer objectives.
- AI Solution Design & Deployment (Science Focus)
- Architect end-to-end AI solutions for specialized domains, integrating Mistral's models and platform into science-specific workflows and technical infrastructure.
- Partner with the Applied AI and Research teams to design, prototype, and deploy science-focused AI solutions in production, ensuring scalability and impact.
- Own the execution of science-heavy pilot projects and proofs-of-value, demonstrating the potential of our technology in specialized domains and paving the way for full‑scale deployment.
- Value Realization & Customer Success
- Serve as a trusted advisor to customers on science-driven AI strategies, ensuring they maximize the value of their investment in Mistral's specialized capabilities.
- Monitor key performance indicators (KPIs) tied to technical and business outcomes in science domains, and communicate progress to executive sponsors.
- Proactively identify expansion opportunities within accounts for science applications, building on initial successes to drive long-term partnerships.
- Cross-Functional Collaboration
- Act as the bridge between customers and Mistral's Research and Applied AI teams, synthesizing feedback to influence science-focused product and research roadmaps.
- Develop reusable assets, best practices, and playbooks for science domain deployments to scale go‑to‑market efforts.
- Travel (~30-60%) to foster deep client relationships and support on-site deployment of specialized solutions.
What We're Looking For
- 2+ years in a client-facing technical role (e. g., data science consulting, research engineering, or technical sales) with a strong background in AI science domains (computer vision, robotics, embodied AI, etc.).
- Hold a degree in a scientific field (e. g., Computer Science, Robotics, Physics, Mathematics) – Ph D is a plus.
- Deep technical knowledge of AI/ML/Data Science with specialization in science domains, and the credibility to advise highly technical audiences.
- Hands‑on experience building and deploying science-focused AI applications (Python, C++, or similar) to demonstrate value in specialized domains.
- Strong business acumen and problem‑solving skills, with the ability to translate complex technical concepts into business value.
- Executive presence and communication skills to influence senior stakeholders (VP, C-level) on technically advanced solutions.
- Hands‑on experience building and deploying AI applications (Python) in science domains.
- Resilient, results‑driven, and comfortable leading through influence in a highly technical, collaborative environment.
- Experience with research-to-production transitions and working with research teams is a plus.
- Why This Role Matters
You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact.
By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
Benefits
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.
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AI Deployment Strategist, Science - EMEA in London employer: mistral
Mistral is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, equity options, comprehensive health insurance, and visa sponsorship, alongside ample opportunities for professional growth within the rapidly evolving field of AI. Joining Mistral means being part of a forward-thinking team dedicated to making a meaningful impact through strategic partnerships with leading publishers and academic institutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Strategist, Science - EMEA in London
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We think you need these skills to ace AI Deployment Strategist, Science - EMEA in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at mistral, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at mistral. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at mistral
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at mistral!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
