Top Machine Learning Jobs in Belfast

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 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.

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

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.

Join the Kannon Franchise Pricing Strat team to develop trading systems, improve processes via Machine Learning, and support analytics platform migration.

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

The role involves innovating in quantitative trading through signal and model research, developing electronic trading strategies, and collaborating with sales and technology teams.

Join the credit quant team to develop risk and PNL systems, provide trading support, and implement analytics solutions using programming and data curation.

The AI Governance & Test Engineer ensures compliant AI deployment, oversees performance testing, and enhances AI systems via data analysis and stakeholder collaboration.

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

Join the quantitative credit strategists team to develop analytics solutions for credit trading, collaborating closely with trading desks to enhance decision-making.

Lead transformation projects within the Chief Risk Office by leveraging Cloud and AI technologies to improve credit risk processes, driving measurable efficiency.

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.

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

The Cytobank Application Scientist provides application support for a cloud-based flow cytometry platform, conducting trainings, pre-sale and post-sale support, and collaboration with sales and R&D teams.

The AI Data Specialist will perform data-related tasks like data collection, evaluation, and annotation to improve AI-generated content.

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

As a Senior Product Manager, you will analyze complex datasets in life sciences, translating insights into actionable strategies, collaborating with teams, and applying data science techniques to enhance product offerings.

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 Customer Success Manager will ensure customer satisfaction, manage relationships with high-value clients, and drive revenue growth through account expansion and reduced churn.

As a Data Scientist at Wave, you'll lead high-impact projects, improve user rewards, design experiments, analyze user behavior, and implement machine learning solutions.

As a Machine Learning Engineer, you'll develop production-ready data solutions, enhance financial data, optimize algorithms, and collaborate with product teams to deliver robust code.

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

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

The Machine Learning Engineer will design and implement models to analyze user behavior and improve algorithm performance, collaborating with engineering teams and business stakeholders.