Top Machine Learning Jobs in Belfast

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Customer Experience Specialist, you'll deliver outstanding customer interaction through multiple channels, assist in debt resolution, negotiate repayment plans, and ensure compliance with laws and regulations.

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

As a Senior Data Discovery and Enrichment Expert, you will conduct legal research for AI solutions, create training data, and mentor colleagues.

The Chief Architect at CME Group leads architectural vision, manages teams, develops tech roadmaps, and ensures alignment between business strategies and technology decisions.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

As a Staff Software Engineer, you will build platform infrastructure for real-time data processing, solve optimization problems, and implement APIs and UI designs.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Account Executive will drive sales and manage client relationships, focusing on revenue generation in mobile app advertising.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Lead the development of AI/ML models for systems engineering. Involve in concepting, trials analysis, and mentoring team members.

The Operations Manager will lead and scale field service teams in Europe, ensuring safe and high-quality installations, managing logistics, and enforcing compliance with safety standards.

As the AI & Data Ethics Technical Lead, you will enhance Kainos' AI capabilities, develop demos of Responsible AI techniques, and support data & AI trust in customer projects.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

The Machine Learning Engineer will design, build, and deploy intelligent ML systems, managing the complete solution lifecycle, while collaborating with clients to address complex business problems.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Lead the design and deployment of ML systems, mentor teams, and manage projects for various industries while ensuring technical excellence in solutions.

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