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Data Scientist (AI & ML) - NEW
Adepta Partners LimitedBelfast, Northern Ireland🇬🇧United KingdomPosted 22 Jul 2026
Why This Role Stands Out
Unlock your potential as a Data Scientist by shaping AI strategy and deploying cutting-edge solutions in a greenfield environment, with a hybrid work model offering flexibility. This role is perfect for a mid-senior professional eager to leverage NLP, LLMs, and ML expertise to drive significant business impact within a reputable firm.
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Data Scientist Role: Our client is looking for a Data Scientist with strong experience in Natural Language Processing (NLP), Large Language Models (LLMs) and Machine Learning to build-out their Data Science Platform. They have a strong, diverse team in Belfast. The Data Scientist will play a key role in helping them achieve strategic goals. This is an opportunity to join a greenfield environment where you'll design and deploy production-grade machine learning models, generative AI solutions and intelligent business applications that enhance customer experience, improve operational efficiency and deliver measurable business value. Working across Data Science, AI Engineering and MLOps, you'll develop scalable AI solutions, collaborate with business stakeholders and play a key role in shaping their AI strategy. Data Scientist Responsibilities: Design, develop and deploy machine learning models and AI solutions to solve complex business challenges. Build production-ready AI applications including intelligent assistants, chatbots, copilots and workflow automation tools. Develop and optimise NLP, Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions. Build scalable data pipelines and collaborate with engineering teams to prepare data for AI and machine learning initiatives. Deploy, monitor and maintain models using modern MLOps practices, ensuring reliability, scalability and continuous improvement. Integrate AI services with enterprise applications through APIs and cloud-native architectures. Partner with technical and business stakeholders to identify opportunities where AI can improve customer outcomes and business performance. Lead proof-of-concept initiatives, evaluate emerging AI technologies and promote innovation across the organisation. Experience 3+ years' commercial experience in Data Science, Machine Learning or AI Engineering (with demonstrated expertise across entire ML lifecycle) E.G preprocessing to production deployment and monitoring. Proven experience developing and deploying machine learning models into production. Experience delivering Generative AI applications, LLM-based solutions or intelligent automation platforms. Hands-on experience with AWS cloud services, MLOps and modern software development practices. Experience in highly-regulated environment (Fintech/Insurtech/Prof Services) is advantageous but not essential. Technical Skills Python SQL AWS Machine Learning Deep Learning NLP Large Language Models (LLMs) Generative AI Retrieval-Augmented Generation (RAG) LangChain / LangGraph / LlamaIndex / Semantic Kernel OpenAI / Anthropic / Amazon Bedrock / Azure OpenAI Scikit-learn TensorFlow PyTorch Pandas FastAPI / Flask REST APIs Vector Databases Docker Kubernetes Git CI/CD MLOps Data Pipelines ETL Model Deployment & Monitoring AI Governance & Observability What They're Looking For Passion for AI, Machine Learning and emerging technologies. Strong analytical and problem-solving skills with a pragmatic, delivery-focused mindset. Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Collaborative team player who enjoys working across engineering, product and business functions. Curious, innovative and motivated to continually learn and apply new AI technologies. Why Join Them as a Data Scientist? This is an opportunity to shape an enterprise AI capability from the ground up, working with cutting-edge technologies to solve real business problems. They offer the chance to work on new AI initiatives with the autonomy to experiment, influence technical direction and make a tangible business impact, all within a flexible and collaborative working environment. Location: Belfast Hybrid / Flexible If you have strong commercial experience in Data Science / ML, click APPLY to send your application to Dan. Skills: Data Science Machine Learning NLP LLM Benefits: Health Insurance Bonus Enhanced Pension Hybrid
ADZN1_NI
Skills
Docker
FastAPI
Flask
SQL
AWS
ETL
MLOps
Machine Learning
NLP
Scikit-learn
Azure
Deep Learning
Generative AI
Git
Kubernetes
LLM
Pandas
PyTorch
Python
REST
TensorFlow
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