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- Tasks: Lead a high-performing team in applied science to drive innovation and excellence.
- Company: Join UiPath, a leader in automation technology with a vibrant culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of automation while working with cutting-edge technologies.
- Qualifications: 10+ years in applied ML with leadership experience and strong technical skills.
- Other info: Dynamic environment with a focus on collaboration and impactful projects.
The predicted salary is between 72000 - 108000 £ per year.
The people at UiPath believe in the transformative power of automation to change how the world works. We are committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care about each other, about UiPath, and about our larger purpose.
Your mission is to lead and scale a high-performing Applied Science organisation at the intersection of research and product-setting strategy, raising the bar on scientific excellence, and shipping reliable, cost-efficient ML systems that power UiPath while diving into models when it matters and shaping roadmaps, talent, and cross-functional execution.
What You'll Do At UiPath:
- Org Scope: Build and lead a multi-disciplinary team of applied scientists across core product lines (document understanding, UI automation, agents).
- Launch and scale: UiPath's new London site.
- Stack: Python, PyTorch, numpy, scikit, Langgraph, and various agentic frameworks.
- Outcomes: Deliver quantifiable improvements in model quality, latency, cost efficiency, safety, and reliability through rapid research-to-production cycles.
Requirements include 10+ years in applied ML, including 4+ years leading multi-team organisations delivering production ML systems. Deep ML expertise, with strong foundations in math, statistics, and computer science. Proficiency in modern ML frameworks (PyTorch/TensorFlow/JAX) and distributed systems. Exceptional communication skills – able to simplify complex topics for executives and provide precise technical guidance to teams. Values: Kind, motivated, self-starting, and responsible.
Nice to Have:
- Experience in enterprise SaaS, automation, or developer platforms.
- Experience running large-scale evaluation and optimizing models.
- State of the art knowledge in one of the following: LLMs, NLP or Computer Vision, with publications, patents or OSS contributions in this space.
Director of Maths and Science in City of Westminster employer: UiPath
Contact Detail:
UiPath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Maths and Science in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at UiPath. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work in applied ML and related projects. Make sure it’s easy to access and visually appealing. This is your chance to shine and demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by diving deep into UiPath’s products and values. Understand their mission and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to their vision of transforming automation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the UiPath team. Let’s get you that dream job!
We think you need these skills to ace Director of Maths and Science in City of Westminster
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through. We want to see that you’re genuinely excited about leading a high-performing team and making an impact in the world of applied science.
Tailor Your CV: Make sure your CV is tailored to highlight your experience in applied ML and leadership. We love seeing how your background aligns with our mission at UiPath, so don’t be shy about showcasing relevant projects and achievements.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, especially when it comes to complex topics. Use simple language to explain your experience and skills, making it easy for us to understand your fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and ready to take the next step with us!
How to prepare for a job interview at UiPath
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with them, especially in relation to building production ML systems. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Leadership Skills
Since this role involves leading a multi-disciplinary team, be prepared to share examples of how you've successfully managed teams in the past. Highlight your ability to motivate and guide others, and how you’ve driven projects from research to production.
✨Communicate Clearly
Exceptional communication skills are key for this position. Practice explaining complex ML concepts in simple terms, as you’ll need to convey ideas to both technical teams and executives. This will demonstrate your ability to bridge the gap between different stakeholders.
✨Align with Their Values
UiPath values kindness, motivation, and responsibility. During the interview, reflect these values in your responses. Share stories that illustrate your genuine care for team success and your proactive approach to challenges, showing that you’re a great cultural fit.
