Data Scientist - Remote

Hermiston
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Optimisation

Data Scientist (Predictive Modelling) – NHS

Lead Data Scientist

Senior Data Scientist

Our client is building the most advanced AI platform in their market. They help their clients service customers with unmatched speed and accuracy.

The Opportunity:
There're looking for a Senior Data Scientist with deep experience in computer vision to join a high-performance team. You’ll help push the boundaries of visual defect detection and predictive automation — solving real-world challenges.

You’ll work on:
• Training and deploying CV models for damage detection
• Improving classification, segmentation, and bounding box performance at scale
• Leveraging expert-labelled datasets to build high-accuracy visual models
• Building and optimising workflows in Azure Machine Learning (AML) for both dev and prod
• Develop and execute best practices for experimentation enabling the team to make data informed decisions
• Contributing to the end-to-end AI pipeline from data ingestion to production deployment

We’re looking for:
• 4+ years in applied data science with a proven record of delivering value
• Hands-on experience with Azure, yolo, and OpenCV
• Proven track record training custom image models on real-world datasets
• Experience deploying to Azure ML production pipelines

• Experience with LLMs in production settings

• Strong understanding of model evaluation, data quality, and performance tuning
• Bonus: Experience in insurance, housing, construction, or related sectors

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK
Exposed Solutions is acting as an employment agency to this client.
Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role

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.

Careers

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

Jobs

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

Education

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.