National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Ultralytics
Slough
6 days ago
Create job alert

🔥 Who We Are

At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of AI.


🌎 Location and Legalities

This full-time Data Scientist position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.


🚀 What You'll Do

As a Data Scientist at Ultralytics, you will analyze vast datasets to drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include:

  • Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement.
  • Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization.
  • Analyzing user and model telemetry from sources like Google Analytics and MongoDB to understand user behavior and guide product development.
  • Collaborating with the engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity.
  • Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders.
  • Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions.
  • Staying current with the latest research in deep learning and statistical analysis to drive innovation.

Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone.


🛠️ Skills and Experience

  • 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry.
  • Expert-level proficiency inPythonand extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn.
  • Deep hands-on experience with deep learning frameworks, particularlyPyTorch.
  • Proven experience withstatistical analysis, hypothesis testing, and data visualization techniques.
  • Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus.
  • Experience with large-scale data processing and database technologies such asMongoDBor other NoSQL databases.
  • Practical knowledge of MLOps principles, including CI/CD pipelines usingGitHub Actions.
  • Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI.
  • Knowledge of GPU-accelerated computing withCUDAis highly desirable.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity startup environment.


🌟 Cultural Fit - Intensity Required

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.


đź’¶ Compensation and Benefits

  • Competitive Salary:Highly competitive based on experience.
  • Startup Equity:Participate directly in our company's growth and success.
  • Hybrid Flexibility:3 days per week in our brand-new office - 2 days remote
  • Generous Time Off:24 days vacation, your birthday off, plus local holidays.
  • Flexible Hours:Tailor your working hours to suit your productivity.
  • Tech: Engage with cutting-edge AI projects.
  • Gear:Brand-new Apple MacBook and Apple Display provided.
  • Team: Become part of a supportive and passionate team environment.


If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

Related Jobs

View all jobs

Data Scientist

Data Scientist - Inside IR35 contract

Data Scientist - Graduate

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

National AI Awards 2025

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.