Top Engineering Jobs in Belfast

Leads a distributed team of Site Reliability and Backend Engineers responsible for GitLab.com's asynchronous processing and caching platforms. Owns reliability, service-level objectives, capacity planning, incident response, on-call operations, Redis upgrades, operating system patching, deployment architecture, and migration to a durable workflow engine. Manages hiring, development, quarterly planning, roadmap execution, and coordination across globally distributed teams.

Manage a team of machine learning engineers developing credit and lending models for international markets. Set technical strategy, guide advanced ML solutions, partner with product, engineering, analytics, design, and risk teams, and ensure scalable underwriting capabilities. Provide hands-on technical leadership, clarify complex problems, manage trade-offs, and mentor engineers while contributing to Affirm’s long-term machine learning strategy.

Supports the planning, development, and improvement of aerospace manufacturing processes, tools, technologies, and production systems. Responsibilities include continuous improvement, waste reduction, automation and digital manufacturing initiatives, industrialisation of new products, production problem-solving, data analysis, and cross-functional collaboration with engineering, quality, operations, supply chain, and production teams.

Graduate engineers will contribute to aerospace projects at Short Brothers in Belfast across design, research and technology, materials and processes, stress analysis, and test and technical systems engineering. The role involves collaboration with experienced engineers, development of aerospace technologies, and professional growth through coaching and mentoring. Applicants need a relevant accredited engineering degree, a strong interest in aerospace, communication skills, and the ability to work full-time on-site in Belfast.

A 12-month aerospace engineering internship at Short Brothers, a Boeing company, based in Belfast. Interns will support live projects across design engineering, research and technology, materials and processes, stress analysis, powerplant and systems engineering, and experimental and ground testing. Candidates will gain practical engineering experience, collaborate across teams, and develop professionally while contributing to aircraft component innovation and sustainable aviation.

Supports aerospace quality assurance, regulatory compliance, new product development, supplier quality, continuous improvement, and quality testing. The graduate will use APQP and specialized technologies such as digital metrology, CMM programming, NDT, calibration, and laboratory testing while collaborating with engineers, suppliers, customers, and regulators.

Manage a distributed team of senior and staff engineers developing and scaling Gitaly, GitLab’s Git storage tier. Drive complex infrastructure, performance, scalability, architecture, and maintainability initiatives while balancing roadmap and platform priorities. Provide mentoring, career development, technical guidance, and accountability. Collaborate asynchronously with Git and cross-functional teams, represent Gitaly’s technical direction, and ensure long-term platform viability through sound architectural judgment.

Leads the engineering organization responsible for GitLab Dedicated, a single-tenant enterprise SaaS platform. Owns strategy, roadmap, reliability, compliance, infrastructure investments, customer migrations, and enterprise-grade SLAs. Oversees distributed engineering managers and teams across orchestration, resilience, control-plane APIs, public-sector platforms, FedRAMP readiness, AWS GovCloud, and migration tooling. Partners with executives, Product, Security, and Support while scaling the organization, improving operational efficiency, and incorporating AI-enabled engineering workflows.

Leads development and optimization of complex Ab Initio ETL applications supporting Citi’s Oracle General Ledger. Collaborates with finance users and technology teams, manages the SDLC in Agile environments, investigates data issues using SQL and Oracle, develops automation utilities, performs testing, supports implementations, and resolves production defects. The role requires technical leadership, strong financial technology experience, and expertise in data engineering, RDBMS, UNIX, shell scripting, and Jira.

Leads and develops software engineers across autonomous pods, owning performance, career growth, wellbeing, hiring, and delivery quality. Drives governed adoption of AI-assisted engineering tools, establishes specification, review, security, and testing standards, and evaluates productivity through delivery metrics. Partners with Product and Architecture, removes blockers, supports technical decisions, and promotes Lean continuous improvement in a regulated payments environment.

Perform aerodynamic and CFD analyses, build meshes and solver-ready cases, define simulation settings, automate workflows with Python, and validate numerical and physical results. Responsibilities include calculating lift and drag, evaluating convergence and mesh quality, diagnosing unstable or invalid simulations, selecting modeling assumptions, and documenting technical methodologies. The role supports an AI training project and requires strong fluid mechanics, aerodynamics, computational analysis, and programming expertise.

Design and evaluate rigorous hardware engineering problems for AI training projects. Develop reference solutions using calculations, simulations, Python scripts, and experimental reasoning. Model and validate hardware systems against physical test data, create verification methodologies, investigate failures, and document reproducible technical solutions. The role requires substantial hardware engineering ownership, strong programming ability, quantitative reasoning, and mandatory hands-on experience with AI Coding Agents.

Leads the M&S Cloud Platform engineering team building AI engineering platforms, reusable pipelines, tooling, plugins, frameworks, and developer self-service capabilities. Responsibilities include technical strategy, platform ownership, architecture, DevOps, reliability, vendor management, recruitment, talent development, and line management of senior engineers. The role contributes code while driving engineering excellence, operational reliability, strategic alignment, and improved developer experience across more than 200 engineers and 30 applications.

Leads the team building the SRE function and owns its technical vision, platform capabilities, reusable tooling, pipelines, frameworks, and developer experience. Manages senior engineering staff, drives recruitment and retention, aligns technical strategy, oversees reliability and operational excellence, partners with vendors, and contributes hands-on code. The role requires strong SRE, cloud, software architecture, DevOps, testing, reliability engineering, and people leadership experience.

Act as the bridge between Axis and consultant/specifier communities across the Midlands and South West UK. Build and manage A&E programme relationships, advise on product specifications, train on Axis design tools, create thought leadership, align activities with sales to generate pipeline, and collaborate with global A&E peers to share best practices.

Lead and develop a team of 5–6 analytics engineers while contributing hands-on to data warehouse architecture, pipeline development, technical reviews, and governance. Prioritize and deliver central analytics engineering projects, establish data best practices, support hiring, partner with business collectives, and provide occasional out-of-hours pipeline support.

Leads and grows a machine learning engineering team responsible for production ML infrastructure, automated training, model evaluation, MLOps pipelines, observability, and low-latency model serving. Provides technical architecture guidance, partners with product and data teams on roadmaps, promotes engineering best practices, and supports technical hiring. The role focuses on reliable ML systems processing large, real-time datasets, with potential emphasis on streaming, time-series, and spatial-temporal applications.

Lead and mentor a full-stack engineering team while remaining at least 50% hands-on. Responsibilities include software architecture, development, testing, deployment, code reviews, troubleshooting, Agile delivery, hiring, performance management, and collaboration with Product and Design. The role helps shape technical direction, improve engineering practices, and build scalable, reliable software using Ruby on Rails, React, PostgreSQL, and AWS.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Leads specialized AI training projects focused on realistic mechanical engineering workflows. Designs multidisciplinary projects, translates objectives into technical requirements and acceptance criteria, structures tasks and dependencies, coordinates engineering contributions, and evaluates design feasibility. Applies expertise in mechanical design, engineering analysis, manufacturing, testing, verification, DFMA, and root-cause analysis to ensure project scenarios reflect professional engineering standards.

Owkin accepts spontaneous applications from engineers across AI and LLM engineering, backend and platform engineering, data engineering, and infrastructure. Successful candidates build reliable, scalable systems involving LLMs, agents, or data pipelines; collaborate with scientists; use AI engineering tools; and demonstrate curiosity about biology. Applicants may be considered for current or future opportunities supporting biomedical research tools.

Leads the Editing Experience software engineering team, overseeing people development, hiring, technical quality, delivery, reliability, and AI-native engineering practices. Partners with Product and Design on customer-focused strategy, connects technical decisions to business outcomes, manages engineering flow and metrics, coordinates complex initiatives, and supports incident response. The role requires a hands-on engineering background and recent Engineering Manager experience.

Leads Ashby’s Platform and Infrastructure organization, owning reliability, performance, observability, incident management, infrastructure strategy, vendor relationships, and team growth. Builds long-term roadmaps, hires engineers and managers, collaborates with Product Engineering, and may establish a Developer Experience team. The role requires strong technical depth in Kubernetes, networking, cloud infrastructure, and hardware, alongside experience managing managers, scaling engineering organizations, and communicating effectively across distributed teams.

Designs and leads scalable revenue enablement programs for Sales Engineers. Responsibilities include needs analysis, onboarding, workshops, technical labs, coaching, readiness certifications, content development, program management, impact measurement, and cross-functional alignment with Sales, Product Marketing, and Account Executives.

Lead and grow an engineering team responsible for Affirm’s international identity platform, including KYC, user lifecycle management, and identity decisioning. Own technical strategy, multi-quarter roadmaps, architecture, reliability, availability, incident response, and operational improvements. Drive major consumer-facing initiatives, cross-functional alignment, and technical execution across Product, Design, Analytics, and Engineering teams while developing engineers and maintaining a high-trust culture.