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 model, competitive salary, and opportunities for real ownership.
- Other info: Collaborate closely with leadership and engineers in a high-growth setting.
- Why this job: Make a tangible impact with your AI skills in a dynamic 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.
- 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.
Data Scientist (AI/ML) in Belfast employer: Ocho
Join a fast-growing technology company in Belfast that is at the forefront of automating complex workflows through innovative AI solutions. With a strong emphasis on collaboration and ownership, you'll have the opportunity to work closely with senior leadership and engineering teams, driving impactful projects that shape the future of the platform. Enjoy a dynamic work culture that fosters professional growth and encourages you to make a real difference in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (AI/ML) 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 knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨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 our team!
We think you need these skills to ace Data Scientist (AI/ML) in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI/ML models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of AI solutions you've designed, built, or deployed. We love seeing real-world impact, so share metrics or outcomes that demonstrate your contributions. This helps us understand your hands-on experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're excited about this role and how you can contribute to our platform. We appreciate a personal touch, so let your personality come through while keeping it professional.
Apply Through Our Website:We encourage you to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves. Plus, it’s super easy – just a few clicks and you’re done!
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 like PyTorch and TensorFlow. Be ready to discuss your hands-on experience with LLMs and prompt engineering, as these are key to the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific projects where you've designed, built, and deployed AI/ML models. Highlight how you tackled challenges and delivered real-world impact, as this will resonate with their focus on practical solutions.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your strong communication skills and ability to collaborate effectively.
✨Demonstrate Ownership and Autonomy
Be ready to share examples of how you've taken ownership of projects from start to finish. Emphasise your ability to work independently while still collaborating with engineers and leadership to drive results.
