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For Companies At a Glance
- Tasks: Join a high-performance team to develop cutting-edge AI solutions in visual defect detection.
- Company: Be part of a leading company revolutionising customer service with advanced AI technology.
- Benefits: Enjoy remote work flexibility and the chance to work on impactful projects.
- Why this job: Contribute to real-world challenges while pushing the boundaries of AI and machine learning.
- Qualifications: 4+ years in data science, hands-on experience with Azure, YOLO, and OpenCV required.
- Other info: Must be eligible to work in the UK; open to diverse applicants.
The predicted salary is between 43200 - 72000 £ per year.
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:
They are looking for a Senior Data Scientist with deep experience in computer vision to join a high-performance team. You will help push the boundaries of visual defect detection and predictive automation, solving real-world challenges.
You will 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
- Developing and executing 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 are 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.
Locations
Data Scientist - Remote in Newbridge, Midlothian employer: Exposed Solutions
Contact Detail:
Exposed Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Remote in Newbridge, Midlothian
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision, particularly in areas like YOLO and OpenCV. Being able to discuss recent developments or projects you've worked on can really impress during interviews.
✨Tip Number 2
Showcase your experience with Azure Machine Learning by preparing examples of how you've built and optimised workflows. Be ready to explain your thought process and the impact of your work on previous projects.
✨Tip Number 3
Network with professionals in the AI and data science community, especially those who have experience in sectors like insurance or construction. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your approach to model evaluation and performance tuning. Having a clear methodology will demonstrate your expertise and help you stand out as a candidate who can deliver real value.
We think you need these skills to ace Data Scientist - Remote in Newbridge, Midlothian
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly with computer vision. Include specific projects where you've trained and deployed models, especially using Azure, YOLO, and OpenCV.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience with visual defect detection and predictive automation.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or links to your work. Highlight any custom image models you've trained and the impact they had on previous projects.
Highlight Soft Skills: Don't forget to mention your soft skills, such as teamwork and communication. Since you'll be part of a high-performance team, demonstrating your ability to collaborate effectively is crucial.
How to prepare for a job interview at Exposed Solutions
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with Azure, YOLO, and OpenCV during the interview. Prepare specific examples of projects where you trained custom image models and discuss the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss real-world challenges you've solved using computer vision. Think about how you improved classification, segmentation, or bounding box performance in previous roles, and be prepared to explain your thought process.
✨Familiarise Yourself with the Company’s AI Platform
Research the client’s AI platform and understand its features and capabilities. This will allow you to ask informed questions and demonstrate your genuine interest in their work during the interview.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to contribute to the end-to-end AI pipeline. Practice articulating how you would approach data ingestion, model training, and production deployment in a structured manner.
