Top Machine Learning Jobs in Belfast

Manage customer accounts for Anduril's defense technology, overseeing deployment of products, nurturing client relationships, and collaborating with teams to meet operational needs.

As a Senior Software Engineer II, you will lead design and development of telematics products, drive technical discussions, and collaborate on design decisions to enhance the customer experience.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

As an Infrastructure Engineer, you will design AWS infrastructure solutions, troubleshoot issues, and automate processes while leading best practices.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

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.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

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

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

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

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

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.

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

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

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

Responsible for leading ML engineering projects, developing and maintaining ML pipelines, collaborating with teams, and mentoring junior engineers.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The Senior Cloud Architect will lead cloud-based AI/ML solution development, engage with clients, enhance technical skills, and mentor team members while working with advanced AWS technologies.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.