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- Tasks: Lead the development of computer vision models and design data pipelines for real-world applications.
- Company: Ocho, a forward-thinking tech company in Belfast, focused on next-gen manufacturing.
- Benefits: Competitive salary, flexible pay, and opportunities for professional growth.
- Why this job: Make a tangible impact by leading AI capabilities and seeing your work in action.
- Qualifications: Strong background in computer vision, deep learning, and Python programming.
- Other info: Join a small, collaborative team that values experimentation and innovation.
The predicted salary is between 55000 - 65000 £ per year.
My client is building the intelligence layer behind a next-gen manufacturing platform and are looking for a Lead Data Scientist to take ownership of everything computer vision. This isn’t a research-only role. You’ll be working with real images, real data, and real production systems, helping machines understand whether parts can be built, printed, or improved. If you like getting your hands dirty with models and shaping how things are built end to end, you’ll feel right at home.
Why this role is interesting:
- You’ll lead a core AI capability, not just contribute to it
- Your models will ship and be used, not sit in notebooks
- You’ll influence architecture, tooling, and technical direction
- Small, collaborative team with space to experiment and move fast
Salary: £65,000 - £75,000 with some flexibility for the right candidate.
What you’ll spend your time on:
- Building and improving computer vision models for real-world imagery
- Designing data pipelines that support training, inference, and monitoring
- Working across ML, data, and engineering to turn ideas into products
- Keeping models healthy in production
- Coaching others and raising the technical bar across the team
What we’re looking for:
- Strong experience in applied computer vision and deep learning
- Confident Python engineer with production ML experience
- Comfortable working with cloud ML platforms and MLOps tooling
- Someone who enjoys solving messy, real problems with clean thinking
- Able to explain complex ideas without overcomplicating things
Nice to have (not a deal-breaker):
- Experience in manufacturing, inspection, or industrial AI
- Exposure to large-scale data processing or multimodal models
- Curiosity around agent-based or orchestration-style AI
If you want to lead, build, and actually see your work used in the real world, let’s talk. Reach out to Justin Donaldson for a confidential chat or more details.
Lead Data Scientist in Belfast employer: Ocho
Contact Detail:
Ocho Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ocho or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects. Real-world examples of your work can make you stand out and show you mean business.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and explain your thought process clearly—keep it simple!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Lead Data Scientist in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Scientist role. Highlight your experience with computer vision and deep learning, and don’t forget to mention any production ML projects you've worked on. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. Share specific examples of your work that relate to building and improving models, as well as your experience in collaborative environments.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse into how you tackle messy, real-world problems. We love candidates who can think cleanly and creatively, so share some stories or examples that demonstrate your approach to problem-solving in data science.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly. Plus, it shows us you’re serious about joining our team at Ocho!
How to prepare for a job interview at Ocho
✨Know Your Stuff
Make sure you brush up on your applied computer vision and deep learning knowledge. Be ready to discuss specific projects you've worked on, especially those involving real-world imagery. This will show that you can not only talk the talk but also walk the walk.
✨Showcase Your Python Skills
As a confident Python engineer, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain how you've used Python in production ML. Practising common algorithms and data structures can really help you shine.
✨Talk About Collaboration
This role involves working across ML, data, and engineering teams. Share examples of how you've successfully collaborated with others in the past. Highlight your ability to communicate complex ideas simply, as this is key in a small, collaborative team.
✨Be Curious and Ask Questions
Show your enthusiasm for the role by asking insightful questions about the company's AI capabilities and future projects. This not only demonstrates your interest but also gives you a chance to assess if the company aligns with your career goals.
