Top AI & Machine Learning Jobs

Turn product and business data into decisions through metric design, experimentation, causal analysis, data modeling, dashboards, and actionable recommendations. Partner with Product, Finance, Growth, GTM, and Engineering leaders; build reliable analytical models in dbt; analyze user behavior, adoption, funnels, forecasting, pricing, and retention; and help establish scalable data-team standards and tooling.

Build and own internal AI agents, tools, and platforms from architecture through production adoption. Design knowledge architecture, permissions, evaluations, monitoring, and risk-based guardrails. Translate broad goals into prioritized work, collaborate directly with business users, and ensure reliable, high-quality systems. The role requires strong production engineering, deep LLM systems expertise, TypeScript, infrastructure experience with Terraform and cloud providers, comfort with ambiguity, and daily use of code agents.

Evaluates and quality-controls legal AI skills, workflows, and use cases; researches prompting and applied AI methods; develops best-practice exemplars; tests new product capabilities; trains Legal Engineers; supports executive demonstrations; coordinates global skills libraries; and contributes approximately 30% of time to live client work.

Turn data into product and business decisions through metric definition, experimentation, causal analysis, deep-dive research, and clear recommendations. Model reliable analytical data in dbt, build scalable dashboards and reporting, partner with data engineering, and influence leaders across Product, Finance, Growth, GTM, and Customer Success. The role also helps establish data-team standards, tooling, and operating practices in an AI-first environment.

Turn data into product and business decisions through metric design, experimentation, causal analysis, data modeling, deep-dive analysis, dashboards, and data storytelling. Partner with Product, Finance, GTM, Growth, and Engineering leaders to measure impact, influence priorities, and improve company-wide data practices. Model analytical data in dbt, collaborate with data engineering, and help shape an AI-first data team.

Lead AI enablement across build, enable, and govern streams: coordinate agent and internal tool builds with engineers, run trainings and an AI champions program, provide day-to-day support, and draft/operationalize guidelines and guardrails to ensure safe, fast AI adoption across the organisation.

Serve as the final technical authority for platform behavior: investigate deep escalations, validate pre-release behavior, detect systemic incidents, drive root-cause analysis during Sev1/Sev2 events, advise Product and Engineering, build diagnostic tooling and test frameworks, mentor specialists, and support global follow-the-sun coverage.

The role involves architecting and implementing AI and LLM features for a legal tech web platform, using modern technologies while ensuring code quality and ownership.

Review and evaluate AI-generated legal outputs for accuracy, completeness, reasoning, jurisdictional correctness, usability, and legal risk. Develop evaluation datasets, benchmark cases, gold-standard answers, scoring rubrics, and guidelines. Analyze recurring errors, edge cases, and failure patterns, then translate legal feedback into actionable guidance for product managers, engineers, and legal engineers. The role applies legal judgment at scale without production coding, client advice, or traditional billable work.