Top AI & Machine Learning Jobs

Lead end-to-end data science roadmaps for a product domain: define metrics, drive experimentation, productionise decision models, shape AI-driven analytics, build reusable assets, mentor data scientists, and advise senior stakeholders.

Lead end-to-end data science projects for Payroll: frame problems, build experiments, productionise ML models, measure AI product outcomes, and mentor junior scientists. Work cross-functionally with product, engineering and design to improve conversion, retention and product outcomes using modern data stacks and AI automation.

Develop and deploy machine learning products and services by translating complex business problems into applied research programs. Build robust data pipelines and reusable code in Python or Scala, develop and evaluate applications involving NLP, computer vision, and LLMs, and monitor algorithms at scale. The role also involves managing research risks, collaborating cross-functionally, mentoring colleagues, communicating complex findings, and raising scientific and engineering standards.

Leads ML and platform engineering teams building scalable, production-grade machine learning infrastructure. Responsibilities include coaching engineers, guiding architecture and engineering trade-offs, improving MLOps maturity and observability, translating business goals into delivery plans, managing roadmaps, maintaining system health, and supporting production incidents through code review, debugging, or hands-on development. The role supports AI products including conversational GenAI, automated bank reconciliation, document capture, and cash-flow forecasting.

Lead the design, delivery, and operationalisation of agentic AI workflows and agents from discovery to production. Build integrations with enterprise systems, reusable automation patterns, and monitoring frameworks while partnering with stakeholders and evangelising safe, auditable AI automation across the business.

As a Senior Engineer, you will develop AI workflows, integrate AI systems with enterprise platforms, and craft automation patterns while collaborating with business teams.

As a Senior Engineer, you'll develop AI workflows, lead delivery of AI agents, and integrate systems while collaborating with business teams to automate processes.

Design, build, and deploy production-grade backend generative AI solutions. Convert ambiguous R&D into scalable, secure production software, own deployed code, optimize ML architecture and infrastructure, and collaborate with product and R&D teams to elevate technical capabilities.

Lead design and implementation of AI research and production infrastructure. Mentor junior engineers, and collaborate to enhance data usability, solving complex technical challenges.

Design, build, and operate an internal AI skills marketplace and distribution platform. Own end-to-end delivery from experimentation to production, create runbooks, monitoring, rollback plans, and provide guidance on authoring agent skills while collaborating with vendors and engineering teams.