At a Glance
- Tasks: Build and deploy cutting-edge AI/ML models that transform consumer feedback into actionable insights.
- Company: Join a globally recognised Great Place to Work with a vibrant culture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with innovative teams and stay ahead in AI technology.
- Why this job: Work on real-world ML applications at scale, not just theory.
- Qualifications: 5+ years in ML, strong Python skills, and experience with NLP.
The predicted salary is between 63000 - 77000 £ per year.
Build the AI/ML models that turn billions of pieces of consumer feedback into trustworthy insight. Work directly on NLP, personalisation and content-quality models at genuine production scale using a Python/cloud stack, with real scope to bring in LLMs and generative AI.
About the Company: Since 2005, this business has grown from a single office into a global operation spanning North America, Europe, Asia and Australia, now connecting thousands of brands and retailers with billions of consumers through user-generated content at genuinely massive scale. That scale is exactly why AI and ML sit at the centre of the product, not on the sidelines.
The Role: You'll join a team using machine learning to make sense of an enormous, constantly growing volume of reviews, questions and user-generated content, from spotting low-quality or fraudulent content to powering personalisation and search relevance for shoppers. It's a role with real production exposure: your models won't sit in a notebook, they'll run against live consumer traffic, at a scale most engineers never get to work at.
Key Responsibilities:- Design, train and deploy ML models for content moderation, quality scoring and personalisation.
- Apply NLP techniques to extract insight and structure from unstructured consumer content.
- Evaluate and integrate LLMs and generative AI where they add genuine product value.
- Build and maintain robust MLOps pipelines for training, deployment and monitoring.
- Partner with data engineering to ensure models are fed clean, reliable data at scale.
- Monitor live model performance and iterate based on real production feedback.
- Collaborate with product and engineering teams to translate ML capability into shipped features.
- 5+ years building and deploying machine learning models in production environments.
- Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow.
- Practical experience with NLP techniques and unstructured text data.
- Experience with a public cloud provider (AWS, GCP or Azure) for ML workloads.
- Solid understanding of MLOps: model deployment, monitoring and retraining pipelines.
- Strong analytical thinking and the ability to communicate ML concepts to non-technical teams.
- Hands-on experience with LLMs or generative AI in a production setting.
- Experience with recommendation systems or personalisation at scale.
Why Apply? Hybrid working model based in Belfast. Genuine production-scale ML, not proof-of-concept work. Direct exposure to LLMs and generative AI applications. A culture that rewards curiosity and staying ahead of emerging AI techniques.
Senior AI/ML Engineer (Exclusive) in Belfast employer: Ocho
Join a dynamic and innovative digital consultancy that champions a remote-first work culture, offering exceptional benefits such as a competitive salary, generous annual leave, and a commitment to professional development. With a focus on quality and collaboration, you'll thrive in an environment that values your expertise and provides the autonomy to shape QA processes while working on complex, multi-component systems alongside a talented team in Northern Ireland.
