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

Nominate & Attend

Data Scientist

Ultralytics
London
2 weeks ago
Create job alert

🔥 Who We Are

AtUltralytics, we relentlessly drive innovation in AI, building the world's leadingYOLO 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. Joinour teamand help shape the future of AI.


🌎 Location and Legalities

This full-time Data Scientist position is based onsite in our brand-newUltralytics officein 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-artUltralytics YOLOmodels andUltralytics HUB. Key responsibilities include:

  • Performing deep statistical analysis on model performance across variousbenchmarksanddatasetsto identify areas for improvement.
  • Designing and implementing advanceddata augmentationstrategies to enhance model robustness and generalization.
  • Analyzing user and model telemetry from sources likeGoogle AnalyticsandMongoDBto understand user behavior and guide product development.
  • Collaborating with the engineering team to refinemodel trainingandevaluation pipelines, ensuring data quality and integrity.
  • Developing and maintaining dashboards and reports to communicate keyperformance metricsto stakeholders.
  • Automating data analysis and reporting workflows usingPythonscripting andCI/CDtools likeGitHub Actions.
  • Staying current with the latest research indeep learningand 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 withdeep learningframeworks, particularlyPyTorch.
  • Proven experience withstatistical analysis, hypothesis testing, and data visualization techniques.
  • Familiarity withcomputer visiontasks and concepts, with direct experience working withYOLO modelsbeing a major plus.
  • Experience with large-scale data processing and database technologies such asMongoDBor other NoSQL databases.
  • Practical knowledge of MLOps principles, includingCI/CD pipelinesusingGitHub Actions.
  • Experience with analytics platforms likeGoogle Analyticsand business intelligence tools likeTableauorPower 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 ourmission, vision, and values. Ourteamthrives 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-edgeAI projects.
  • Gear:Brand-new Apple MacBook and Apple Display provided.
  • Team: Become part of a supportive and passionateteam environment.


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

Related Jobs

View all jobs

Data Scientist

Data Science Placement Programme

Data Science Placement Programme

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 Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.