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

Nominate & Attend

Data Scientist

AssetCool
Leeds
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Science Placement Programme

Data Science Placement Programme

Data Scientist – Vision & Machine Learning for Robotics

Location:Leeds (Full-Time, On-Site)

Salary:Competitive, Depending on Experience

About AssetCool

At AssetCool, we develop breakthrough robotic systems to modernise energy infrastructure and accelerate the energy transition. Our robots operate on live power lines, applying advanced coatings to reduce losses and improve reliability—helping utilities upgrade their networks without shutdowns.

We are building the future of intelligent, autonomous field robotics. Join us to work on real-world challenges with real-world impact.

Role Overview

We’re hiring aData Scientistto lead the development of vision and data-processing pipelines for our next-gen robotic systems. You’ll design and prototype image-processing algorithms and machine-learning models, with direct influence over product performance and autonomy.

This is a hands-on, applied role where you will bridge data science, AI, and robotics—taking ideas from prototype to field-tested implementation.

Key Responsibilities

  • Develop image-processing & image analysis pipelines: registration, segmentation, classification, object tracking
  • Build, train, and evaluate deep learning models (e.g. CNNs, YOLO)
  • Design data-driven solutions to robotic vision and inspection problems
  • Prototype solutions inPython and/or MATLAB, moving quickly from idea to evaluation
  • Collaborate closely with hardware, software, and deployment teams to ensure field viability
  • Perform statistical and numerical analysis to evaluate system performance and sensor data

Required Skills & Experience

  • Proficiency inPythonand/orMATLAB
  • Minimum of 3 years hands-on experience in developing image processing algorithms: segmentation, classification, object detection and other image analysis applications
  • Familiarity withmachine learning and neural networks(YOLO, CNNs, etc.)
  • Experience usingTensorFlow, PyTorch, or similar frameworks
  • Understanding ofimage-processing pipeline design,numerical methods, andstatistics
  • Strong problem-solving ability, able to move from analysis to prototype quickly

Desirable Experience

  • Experience withTensorRT,Nvidia Deepstream, or other deployment frameworks
  • Background inneural network designor edge inference
  • Programming inC/C++andCUDA
  • Realtime or embedded vision applications

Why Join AssetCool?

  • Tackle some of the toughest challenges in robotics, vision, and infrastructure tech
  • Join a growing team with global ambitions and a collaborative, mission-driven culture
  • See your work in action on deployed robotic platforms across the world
  • Shape technology that directly contributes to climate resilience and smarter infrastructure

We are an equal opportunities employer and welcome applications from all backgrounds. We are committed to creating an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marriage or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.


If you have a disability or any specific requirements that require adjustments at any stage of the recruitment process, please let us know and we’ll do our best to accommodate your needs.


Please note that we may review and close applications ahead of the closing date. We encourage you to submit your application as soon as possible.


We are not looking for agency support currently.

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.