Discover ML job opportunities in Belfast

Spotlight

ML Runtime Engineer (Mid-Level and Senior)

Design and develop high-performance ML runtime systems for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom

Hybrid Permanent

Director in Applied AI (TMT)

Leads the development and execution of AI strategies for Telecoms, Media, and Technology clients, focusing on high-impact applications such as network optimisation, content operations, and AI-driven software engineering. Oversees end-to-end delivery of complex AI programmes, ensuring responsible deployment, governance, and measurable business outcomes. Works closely with C-suite stakeholders and engineering teams to scale generative AI solutions and build market-facing offerings.

Deloitte Aberdeen, Alba / Scotland, United Kingdom

Senior Application Development Lead - Generative AI GenAI, Vice President - Citi

As a Senior Application Development Lead in the Source to Pay Solutions Technology group, you will set the technical direction for Gen AI adoption, design and integrate Gen AI capabilities into business-critical applications, and ensure end-to-end delivery of Gen AI features. You will collaborate with global teams to deliver against regulatory, risk, and transformation priorities, applying agile engineering practices and providing technical leadership and mentorship.

eFinancialCareers Belfast, United Kingdom

On-site Permanent

Reconciliation and Proofing Senior Analyst - Citi

This role involves ensuring the accuracy and integrity of balance sheet exception reporting through advanced data analysis and control frameworks. The analyst will leverage AI, machine learning, and automation tools to modernize reconciliation processes and resolve complex financial exceptions. Collaboration with cross-functional teams is key to driving process improvements and risk mitigation within a global financial environment.