Top Tech Jobs & Startup Jobs in Belfast

Lead end-to-end machine learning systems across data, training, fine-tuning, evaluation, inference, deployment, and monitoring. Build scalable GPU-based infrastructure and reliable production pipelines for large models, optimize performance and cost, and partner with research and application engineering to translate model capabilities into product improvements. Provide hands-on technical leadership, resolve production issues, and ensure measurable, safe, and maintainable ML iterations.

Own the end-to-end product direction and quality of AI-powered systems. Define requirements, evaluation frameworks, quality bars, and feedback loops while balancing model quality, latency, cost, reliability, safety, and user experience. Partner deeply with ML, backend, and client engineers on system design and iteration, identify failure modes, and drive execution in a fast-moving zero-to-one environment.

Leads application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Designs reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Builds APIs connecting AI capabilities to product experiences, makes architectural trade-offs, establishes observability and operational excellence, and leads a small senior engineering team through mentorship, design reviews, and code reviews. Partners with ML leadership to deliver scalable, reliable, and maintainable production systems.

Lead application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Build APIs connecting AI systems to product experiences, make architecture and scalability decisions, mentor senior engineers, and establish strong observability, monitoring, testing, security, and operational practices. Partner with ML leadership to ship fast, reliable, maintainable product experiences.

Own product areas for an AI neobank across financial services such as insurance, payments, savings, investing, and travel. Define product direction, user problems, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; and use research, feedback, experiments, and performance data to continuously improve products.

Own product areas within AI Stockbroking and broader financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use research and performance data to guide decisions, launch features quickly, and drive continuous post-launch iteration while balancing user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use research, feedback, experiments, and performance data to drive continuous improvements.

Leads technical direction and hands-on execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes code; drives architecture decisions; solves production issues; improves engineering quality, reliability, security, testing, and observability; and mentors engineers across teams.

Own technical direction and execution for major products and systems. Design scalable and reliable architectures, write production code, lead architecture decisions, solve complex engineering problems, and drive initiatives from concept through production. Improve engineering quality across testing, security, observability, and development practices while mentoring engineers and coordinating work across teams and products.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product strategy, roadmaps, metrics, launch plans, and customer journeys. Collaborate with engineering, design, data, operations, compliance, and business teams to ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights. Balance user experience, business impact, compliance, operational complexity, and delivery speed.