Top Tech Jobs & Startup Jobs

Design, train, evaluate, and deploy machine learning and NLP/LLM models. Prepare and analyze large datasets, implement generative AI techniques, perform prompt engineering and RAG tuning, create visualizations, collaborate with cross-functional teams, document work, and support model productionization.

Define and deliver UK & Ireland quality strategy for statutory and regulatory content. Build quality frameworks, conduct audits, measure performance, and drive improvements. Partner with Product and Technology to embed AI-enabled editorial workflows, provide training, and report on risks and progress to global stakeholders.

Manage production and delivery of print and electronic legal publications: perform desktop editing, quality checks, XML tagging and eBook conversion, post timely news/updates, handle Webstar tickets, coordinate with editors, vendors, and stakeholders, and follow production standards and process improvements.

Perform routine record-to-report accounting tasks including ledger reconciliations, revenue and cash accounting, journal entries, management reporting, statutory and tax support, SOX and internal controls compliance, and support system implementations and audits within the Manila R2R team.

Manage post-sale relationships for a portfolio across SEA & ANZ to drive adoption, retention and measurable outcomes. Lead onboarding, develop success plans, monitor customer health, deliver business reviews, surface growth opportunities and coordinate with Account, Product and Marketing teams to improve customer experience and renewals.

Lead complex software design and development tasks, translate product requirements into designs, write and review specifications, implement best practices and code reviews, resolve complex bugs, design data models, and collaborate with stakeholders to deliver product solutions.

Lead and grow a high-performance sales team to exceed financial targets. Develop and execute commercial strategies, coach sellers using Insight Selling, manage C-level negotiations, deepen customer relationships, deploy resources to execute market strategy, and drive customer and employee satisfaction.

Perform moderate data management and analysis within a defined data domain: run and modify queries, produce statistics and coverage metrics, profile and validate data, investigate and report data issues, support onboarding and production data tasks, and provide technical problem-solving and ad-hoc data counts for stakeholders.

Lead quality engineering efforts by designing, developing, and executing automated and performance tests, building/maintaining automation frameworks (Playwright), collaborating across teams, investigating defects and root causes, improving testing processes and tools, and monitoring test progress and risks.

Lead design and productionization of scalable ML/LLM systems for legal products. Build LLM applications (RAG, agents), hybrid search, model serving, data pipelines, APIs, and cloud-native infrastructure. Optimize for latency, reliability, and cost; establish deployment/observability best practices; partner with data scientists and provide technical leadership and coaching.