Top Machine Learning Jobs in Belfast

Lead a team focused on backend infrastructure, coding in Java and Python, while ensuring effective collaboration and communication. Manage project lifecycles, solve technical problems, and mentor engineers.

The Senior MLOps Engineer will design ML pipelines, manage AWS infrastructure, develop CI/CD pipelines, monitor ML system health, and mentor junior staff.

Lead a team to develop platform services for transportation products, ensuring high-quality coding practices, mentoring, and ownership throughout the SDLC while integrating innovative technologies.

Lead the technical work on machine learning models for improving financial health, deploying them in production while collaborating across teams.

Lead the development of digital co-processors for AI accelerators, optimizing hardware architecture for performance and power efficiency through cross-functional collaboration.

Develop and maintain AI and machine learning algorithms, create data pipelines, collaborate with cross-functional teams, and deliver robust product features.

Develop and monitor AI/ML models for analyzing blockchain data, collaborating with teams to enhance Nansen's platform and user experience. Mentor junior engineers and align AI initiatives with business goals.

As a Senior/Staff ML Engineer, you will experiment with training large language models, improve agentic task infrastructure, and utilize data mining techniques.

As a Senior Software Engineer, you will develop scalable data pipelines, process large datasets, and collaborate on ML-powered product features with a global team.

The Staff ML Engineer / ML Team Lead at Zencoder will lead the development of AI-driven solutions, focusing on AI pipelines and models for code generation and refinement. Responsibilities include creating embedded AI agents, collaborating with teams, testing solutions, and staying updated on industry trends.

Join the ElevenLabs research team as a Machine Learning Researcher, focusing on creating data management systems and developing text-to-speech models, while exploring innovative machine learning approaches.

The AI Engineer will develop and deploy LLM services for a SaaS platform, optimizing risk assessment and improving customer workflows in the insurance industry.

The Senior Backend Engineer will develop scalable applications and infrastructure for ML models, collaborating with data scientists and helping shape ML platforms.

The Senior Solutions Engineer will engage with clients to provide AI solutions, conduct technical demonstrations, and collaborate with product teams to meet customer needs.

Lead Data Strategist will engage with customers, driving Data & AI transformation, developing technical assets, and strengthening relationships with C-suite leaders.

The Senior ML Engineer will lead content understanding projects, develop NLP models, build data pipelines, and ensure system reliability while collaborating with teams to translate business needs into technical solutions.

Develop and implement AI/ML models to solve business problems, ensuring production deployment, reliability, and data analysis. Collaborate with teams and manage project blockers.