Top Machine Learning Jobs in Belfast

This role involves developing and deploying machine learning models for fraud detection, collaborating with teams to ensure customer safety and business impact.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The Staff ML Engineer will develop and maintain ML tools for game development, collaborating across teams to integrate machine learning into games and enhancing production workflows.

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

As a Senior Machine Learning Engineer, you'll design and implement ML models, develop data pipelines, and collaborate on AI features at Mural.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

The role involves fine-tuning models, designing architectures, building evaluation pipelines, and collaborating on AI product features for a global audience.

The role focuses on transforming language models into impactful products, involving fine-tuning models, designing datasets, and evaluating performance, while collaborating with various teams.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.

As a Senior AI/ML Software Engineer at BJAK, you will help design and implement machine learning systems that enhance user experience and improve financial services. Your responsibilities include defining ML goals, managing the ML lifecycle, and integrating outputs into products.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Research and develop machine learning models for cybersecurity applications, integrating outcomes into products and collaborating with engineers.

The Senior AI/ML Technology Advisor will provide expert guidance on AI technologies, lead research projects, evaluate AI systems, and communicate findings to diverse stakeholders, ensuring alignment with online safety objectives.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

As a Senior Machine Learning Engineer, you'll develop and maintain APIs and pipelines for AI evaluation, ensuring reliability and scalability for product teams.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Lead Machine Learning initiatives focusing on fraud prevention and customer personalization, fostering collaboration across teams to enhance banking experiences through advanced ML models.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.