At a Glance
- Tasks: Design, build, and deploy impactful AI/ML models for a cutting-edge platform.
- Company: Fast-growing tech company revolutionising data workflows.
- Benefits: Hybrid work, competitive salary, and opportunities for real ownership.
- Other info: Collaborate closely with leadership and engineers in a dynamic setting.
- Why this job: Make a tangible impact with your AI skills in a high-growth environment.
- Qualifications: Experience in AI/ML model deployment and strong Python skills required.
The predicted salary is between 50000 - 70000 € per year.
Location: Belfast (Hybrid)
Eligibility: UK work authorisation required (no sponsorship available)
I'm working with a fast-growing technology company building a platform that automates complex, data heavy workflows. Following significant growth, they're now looking for a Data Scientist to help embed intelligent capabilities directly into their core product. This is a hands on, product focused role where you'll design, build, and deploy AI solutions that deliver real world impact, not just experimentation. You'll work closely with engineering and leadership to shape how AI drives the next phase of the platform.
Why join?
- Work on production AI systems with real customer impact
- High-growth environment with strong momentum
- Close collaboration with senior leadership and engineering
- Real ownership across the full model lifecycle
What you'll be doing:
- Design, build, and deploy AI/ML models powering core product features
- Work across use cases such as document processing, anomaly detection, and intelligent automation
- Own the end to end model lifecycle from problem definition to production and iteration
- Collaborate closely with engineers to integrate models into live systems
- Help shape the AI roadmap, identifying high-impact opportunities
- Continuously evaluate and apply relevant advancements in AI/ML
What you'll bring:
- Proven experience building and deploying AI/ML models in production
- Strong Python skills and experience with modern ML frameworks (e.g. PyTorch, TensorFlow)
- Hands-on experience with LLMs, prompt engineering, RAG, or similar approaches
- Ability to operate with high autonomy and take ownership of solutions
- Strong communication skills with both technical and non-technical stakeholders
- Commercial mindset focused on delivering real product value
Interested? If you enjoy building production ready AI solutions and want to see your work directly influence a product, get in touch with Justin Donaldson for a confidential chat.
Skills: Python, AI, ML, LLM, RAG, data science
Data Scientist - AI JBLE1_NI in Belfast employer: Ocho
Join a dynamic technology company in Belfast that is at the forefront of AI innovation, where you'll have the opportunity to work on impactful production systems and collaborate closely with senior leadership. With a strong focus on employee growth and a culture that values autonomy and ownership, this role offers a unique chance to shape the future of AI within a high-growth environment. Enjoy the benefits of a hybrid work model while contributing to meaningful projects that drive real-world change.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - AI JBLE1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company's products. Be ready to discuss how your experience aligns with their needs, especially around building and deploying AI solutions.
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Scientist - AI JBLE1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI/ML models and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
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 mission. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We’re looking for someone who can own the end-to-end model lifecycle, so highlight any relevant experiences that demonstrate your ability to deliver real-world impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Ocho
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML frameworks, especially Python, PyTorch, and TensorFlow. Be ready to discuss your past projects and how you've built and deployed models in production. This is your chance to show off your hands-on experience!
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific use cases you've tackled, like document processing or anomaly detection. Think of examples where you identified high-impact opportunities and how you shaped the AI roadmap. This will demonstrate your ability to take ownership and drive real product value.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. You want to show that you can bridge the gap between engineering and leadership effectively. A clear communicator is always a plus!
✨Be Ready for Collaboration
This role involves close collaboration with engineers, so think about how you've worked in teams before. Prepare to discuss how you integrate models into live systems and how you handle feedback. Highlighting your teamwork skills will show you're a great fit for their high-growth environment.
