Top Machine Learning Jobs in Belfast

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Software engineering intern supporting the Platform Engines group and Policy Engine for SailPoint’s cloud identity security platform. Responsibilities include developing software, procedures, and test solutions; collaborating with software and QA engineers, technical writers, and product managers; and working in Agile teams. The intern will gain exposure to cloud and software technologies including Golang, Angular, AWS, Docker, Kafka, Kubernetes, REST, SQL, and Temporal.

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Supports enterprise sales by discovering customer requirements, mapping them to SailPoint solutions, and delivering foundational implementations and proof-of-value engagements. Acts as a technical lead and consultative advisor, educating customers on architecture and best practices. Collaborates with sales, product, professional services, partners, and customer success teams while developing AI-driven and agentic solutions for demonstrations and customer outcomes.

Leads a small AI engineering team while designing, coding, testing, and deploying AI-driven features for financial crime detection. The role combines hands-on Go or Python development with technical leadership, architecture, model integration, distributed systems, cloud infrastructure, and scalability improvements. Responsibilities include mentoring engineers, shaping engineering standards, collaborating with Product, Architecture, and Data teams, supporting recruitment, and helping build a new AI-focused capability.

Engineering Interns contribute to software features across the full development lifecycle, including design, development, testing, deployment, monitoring, and improvement. They work with APIs, databases, streams, and queues while participating in stand-ups and peer-led teams. The role provides mentoring and hands-on experience with Signifyd’s technology stack. Candidates should be pursuing a bachelor’s degree in computer science or software engineering, show interest in software development and machine learning, and be curious, collaborative, and willing to learn.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Three-year graduate systems engineering programme developing engineering solutions for defence, aerospace, space, and digital security products. Participants receive structured training, work with experienced engineers, contribute to new and existing products, and may rotate across business units or complete an external secondment in Year 3. The role requires a STEM degree, permanent UK work rights, and successful completion of BPSS and SC security checks.

Assist with developing and deploying AI tools, optimizing LLM-powered solutions, preparing data for machine learning, and collaborating with stakeholders on AI applications. The role covers the full project lifecycle from ideation through deployment, including internal insights tools, process automation, and client-facing financial-market applications.

Lead global stability governance for Citi’s production management organization. Establish executive reporting, KPI and SLO frameworks, analyze systemic technology risks, oversee application improvement programs, and drive corrective initiatives. Govern stability artifacts, automate reporting with AI and intelligent automation, manage high-priority initiatives, and provide operational leadership. The role requires executive influence, advanced quantitative analysis, data governance, production support or IT governance experience, and senior leadership within banking or financial services.

Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.

Build and deploy end-to-end data science and AI solutions, including scalable data pipelines, machine learning and generative AI workflows. Translate product and business questions into measurable analytics use cases, analyze product data, establish evaluation and monitoring practices, and collaborate with product, engineering, and analytics teams to deliver business impact.

Design and lead architecture for agentic AI, knowledge graph, semantic, and enterprise data platforms supporting supply chain systems. Build reusable data models, ingestion pipelines, integrations, entity resolution, schema alignment, validation, and graph capabilities. Evaluate emerging technologies, define scalable architecture and governance patterns, establish quality controls and evaluators for agentic systems, and mentor technical teams while influencing product and engineering direction.

Leads product growth for 1Password’s AI opportunities by defining target markets, validating customer outcomes, running design-customer deployments, developing ecosystem partnerships, and scaling successful motions through sales, channels, and developer communities. The role owns strategy, customer adoption, integrations, commercialization, and cross-functional execution while working with enterprise customers, engineering, product, design, business development, and go-to-market teams.

Lead the transformation of legacy products into a unified enterprise platform. Translate strategy into roadmaps, manage backlogs, prioritize cross-functional initiatives, and coordinate Engineering, UX, AI, Data Science, Commercial, and Operations teams. Drive platform discovery, delivery, launch, adoption, and measurable business outcomes. Integrate trustworthy AI and data capabilities into customer-facing workflows while influencing senior stakeholders and balancing customer value, commercial goals, technical feasibility, risk, and resources.

Own strategic post-sales engagement for BioCatch’s largest customers across EMEA. Serve as the primary customer contact, coordinate technology delivery projects, manage risks and escalations, lead business reviews, advocate for customer needs internally, and identify expansion opportunities with account managers. Translate technical requirements for business stakeholders, oversee project plans and milestones, support solution adoption, and coach project teams while maintaining trusted-advisor relationships.

The Senior PreSales Consultant partners with sales and technical teams to discover customer needs, deliver tailored demonstrations, lead solution and architecture workshops, answer RFPs, and articulate platform value. The role develops decisioning and AI/ML solution strategies, maintains demonstration environments, supports webinars and thought leadership, documents solution requirements, enables internal teams, and feeds customer insights into product roadmaps. Expertise in fraud, financial crime, enterprise software, and financial services is central to the position.

Leads transformation-focused product strategy for Tekion’s automotive retail platform. Serves as the dealer operations subject matter expert, shaping roadmap priorities across sales administration, vehicle stock management, accounting integration, and enterprise workflows. Defines operational standards, transformation frameworks, and change-readiness tools; engages dealer groups and finance stakeholders throughout sales, onboarding, and post-launch. Owns UK and Canadian market considerations, including regulatory, tax, franchise, and OEM requirements, while feeding customer and implementation insights back into product development.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Executive leader responsible for globally scaling Customer Success across delivery, support, engineering, education, and project management. The role focuses on reducing churn, increasing adoption and expansion, optimizing the customer lifecycle, proving customer value, incorporating customer feedback, improving operational efficiency, and building talent. The VP partners closely with Sales, Product, Marketing, Finance, and Legal while serving on the executive leadership team and reporting to the CEO.

The Data Analyst will analyse complex datasets, develop dashboards and reports, translate stakeholder requirements into data-driven solutions, and support analytical models and AI-enabled capabilities. The role involves collaborating with engineers, architects, and business analysts; ensuring data quality and governance; participating in Agile delivery; presenting insights; and supporting UX/UI for digital tooling within a secure Defence programme.

Develop and maintain Elasticsearch’s Inference API and plugin framework, integrating internal and external AI providers. Responsibilities include API and protocol design, streaming, asynchronous execution, rate limiting, configuration, billing integration, error handling, open-source contribution reviews, incident response, and comprehensive unit, REST, and rolling-upgrade testing. The role requires advanced Java expertise, concurrency and parallelism knowledge, API design skills, cross-functional collaboration, and autonomous work in a distributed team.

Leads the end-to-end design of data solutions, including ingestion, transformation, data modeling, and cloud data platform architecture. Defines target-state solutions using Databricks, Azure, and AWS across data warehouses, lakes, and lakehouses. Designs data product architectures, ownership frameworks, and solutions supporting AI and analytics. Collaborates with architects, engineers, platform owners, and analysts while documenting and presenting complex solutions to senior and non-technical stakeholders in regulated environments.

Own Quince’s international forecasting and replenishment architecture, combining classical forecasting, machine learning, and AI agents. Build prototypes and analytical tools in Python, SQL, and Streamlit; partner with data and engineering teams to productionize successful solutions. Improve forecast accuracy, reduce stockouts, automate planning workflows, support new-market launches, and translate between planners, engineers, and leadership. Establish trusted human-machine decision processes and continuously improve planning systems across international markets.