Top Machine Learning Jobs in Belfast

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

As a Senior Software Engineer on the Global Compliance team, you'll develop systems for monitoring and reporting driver compliance, collaborating with team members across firmware, back-end, and mobile technologies.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As an AI Trust Consultant, you will deliver Responsible AI solutions, collaborate with various teams, advise customers on ethics, governance, and human-centric practices, and foster innovation in AI implementations.

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.

Lead the model strategy and deployment for Transaction Monitoring ensuring compliance with governance standards and quality in data analytics and model development.

Lead the development and deployment of transaction monitoring models, manage cross-functional teams, and ensure adherence to governance standards.

The role is part of a graduate programme focusing on engineering, providing mentorship and opportunities to work on various projects while developing skills in different engineering areas.

This graduate program is designed to develop aspiring engineering experts through mentorship and diverse project experiences over three years, rotating through different business units.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

The role involves designing and testing AI solutions, managing full research projects, implementing ML applications, and collaborating with cross-functional teams to advance products.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

The Director of AI will drive AI strategy across the company, manage R&D efforts, lead adoption of AI workflows, and establish success metrics.

Lead the design and implementation of AI systems at A1, shaping engineering standards and mentoring engineers while building robust ML pipelines.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Staff/Senior Backend Engineer will bridge Quant Analysts and engineering teams, implement production-grade models, and enhance architecture and best practices.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The Technical Product Manager leads product discovery, collaborates with stakeholders, and manages the product lifecycle focusing on AI-driven solutions and digital products.

The Partnerships Manager will drive partner strategy and revenue growth in EMEA, build executive relationships, and manage partner performance metrics and governance using BI tools.

Lead the design and development of telematics data products, influence the roadmap, and deliver full-stack features while collaborating with teams to ensure product success.

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.