Top Machine Learning Jobs in the Philippines

Deploys and manages DLP solutions, monitors security alerts across DLP, UEBA, CASB, SIEM, and endpoint systems, and investigates insider threats and data leakage. The role correlates telemetry, preserves digital evidence, tunes detection policies, conducts threat hunting, prepares reports and dashboards, supports audits, and partners with Cybersecurity, Legal, HR, Compliance, Privacy, and IT teams. It also evaluates automation and AI tools to improve security operations.

Build and deliver production-grade automation solutions for banking operations using full-stack development, cloud platforms, low-code tools, RPA, AI, and workflow automation. Gather requirements, design and implement solutions, establish CI/CD pipelines, testing, monitoring, and governance, and measure operational benefits. Partner with stakeholders and technology teams, support adoption and training, maintain documentation for audit readiness, and mentor junior engineers.

Lead expense-management tooling enhancements from requirements through implementation and post-launch support. Translate business needs into user stories, acceptance criteria, and process improvements while coordinating stakeholders, dependencies, risks, timelines, testing, training, and adoption. Develop KPIs and dashboards to monitor operational effectiveness, controls, data quality, and compliance. Identify automation opportunities, support governance, and improve workflow efficiency, reporting, user experience, and operational risk management.

Lead payment lifecycle operations, including daily processing, reconciliations, investigations, exception management, and performance tracking. Resolve control and production breaks, manage operational risk, support fraud prevention, and escalate threats or delays. Partner with stakeholders on automation, process improvements, and client experience enhancements while translating business priorities into execution plans and measurable outcomes.

Analyze and improve AI-powered transaction monitoring systems for money laundering, fraud, sanctions, and terrorist financing detection. Review high-risk transactions, identify behavioral patterns, test and refine machine learning models, develop metrics and dashboards, conduct experiments and ad hoc analyses, and provide clear recommendations. Collaborate with compliance, legal, Identity & Trust, and operations teams while ensuring AML and sanctions regulatory adherence and a positive customer experience.

Lead and facilitate Six Sigma improvement projects across multiple business units, apply data-driven statistical problem solving, define performance metrics, present findings to senior leadership, deploy process trainings, manage idea programs, and support operational excellence for 200-400 FTEs.

Execute and reconcile daily trading activities from order entry through settlement, resolve discrepancies, prepare management reports, and ensure regulatory and policy compliance. The role drives automation, continuous improvement, stakeholder communication, and operational efficiency across trading services. It also supports strategic discussions, manages projects, and mentors junior team members while maintaining knowledge of financial markets and trading systems.

Design, prototype, and deploy production-ready machine learning and generative AI solutions and agentic workflows. Own end-to-end model delivery, data and feature engineering, evaluation, deployment, monitoring, retraining, and governance. Collaborate with product, engineering, and risk stakeholders and contribute reusable patterns and services to accelerate adoption and ensure responsible AI practices.

Leads the strategy, development, and delivery of AI, machine learning, and generative AI solutions across healthcare domains. Responsibilities include designing scalable software, integrating LLMs and agentic AI, maintaining code quality and production operations, collaborating with stakeholders, mentoring engineers, and leading AI/ML teams. The role requires expertise in modern ML frameworks, cloud platforms, DevOps, CI/CD, NLP, model evaluation, prompt engineering, and production-grade AI applications.

Supports APAC middle-office operations for hedge fund clients, including trade capture, affirmations, pricing, settlement, corporate actions, loan lifecycle events, PnL checks, reporting, issue resolution, and vendor coordination. Reviews portfolio pricing against Bloomberg and Reuters, troubleshoots trade and pricing queries, manages escalations, and collaborates with global teams across a follow-the-sun operating model.

Leads global software engineering, quality assurance, DevOps, and deployment teams delivering Guardian software and distributed control system solutions. Defines technology strategy, architecture, roadmaps, and priorities while improving organizational effectiveness, software quality, cybersecurity, automation, and delivery reliability. Partners across functions and geographies, develops engineering talent, guides Agile Release Trains, and drives innovation and continuous improvement for scalable industrial technology products.

Design, develop, deploy, and maintain AI/ML models and LLM-powered conversational agents for pharmacy and benefits experiences. Build multi-tool workflows, APIs, cloud infrastructure, conversation memory, personalization, evaluation systems, and reusable AI platforms. Support production reliability through CI/CD, observability, debugging, governance, and secure practices for regulated healthcare environments.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Own product initiative delivery from kickoff through release, coordinating Product, Engineering, Data, and Solutions. Track dependencies, risks, blockers, scope changes, timelines, testing, handoffs, and launch readiness. Maintain accurate project status and documentation while ensuring execution remains aligned with product intent. This hands-on role requires technical fluency, cross-functional communication, strong ownership, and daily overlap with an Asia-based technology team.

Analyzes structured and unstructured data, develops and deploys predictive and machine learning models, designs experiments, creates dashboards, ensures data quality, and communicates insights to technical and business stakeholders. Senior-level candidates may lead analytical initiatives, mentor junior staff, and influence strategic decisions.

Design, deploy, configure, and support analytics platform solutions for electronic trading clients on Linux. Responsibilities include infrastructure implementation, application integration, Python scripting, deployment automation, client onboarding, troubleshooting, training, dashboard development with Grafana, and operational data analysis using relational and time-series systems. The engineer also collaborates with software and ML engineering teams on product enhancements, model deployment, bug fixes, and new customer use cases.

Own the vision, strategy, and roadmap for a shared lending platform supporting multiple products and markets. Lead platform architecture decisions, real-time credit decisioning, API and configuration design, vendor evaluations, regulatory reporting, data aggregation, and ML-assisted credit capabilities. Translate risk and compliance needs into engineering-ready specifications while coordinating Credit, Risk, Engineering, Design, and country teams. Manage dependencies, delivery sequencing, and the full product lifecycle from research through launch and ongoing iteration.

Analyze catastrophe risk for reinsurance contracts using third-party catastrophe models, validate model outputs, price submissions, and create exposure reports. Apply machine-learning methods to clean and align large datasets and generate decision-ready insights. Develop concise reports, dashboards, and reproducible Python or R notebooks for nontechnical stakeholders. The role requires strong analytical, communication, organizational, and attention-to-detail skills, with flexibility for extended hours during peak periods.

Support SOX testing and risk-based audits across Manulife’s global financial services operations. Perform control walkthroughs, design and operating effectiveness testing, identify root causes, communicate findings, validate issue closures, and apply data analytics to improve audit efficiency. The role requires collaboration across multicultural teams and adherence to internal audit methodology and IIA Standards, with opportunities to use GRC tools, machine learning, and Python.

Own an AI-native stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, limits, privacy, licensing, regulatory approvals, and third-party financial rails. Apply AI with appropriate evaluation, safeguards, human oversight, and reliability controls while aligning engineering, design, compliance, operations, treasury, and finance.

Manage employee relations and HR operations for the Manila office, including performance improvement plans, disciplinary and grievance processes, absence management, labor-law compliance, exit interviews, manager support, training, onboarding, offboarding, benefits administration, and HR projects. Partner with managers and senior leaders as a trusted people advisor while supporting a fast-paced, hybrid global organization and working European hours.

Recruit, onboard, activate, and grow managed service provider partners across assigned markets. Own recurring revenue growth, product adoption, cross-sell, partner tier progression, and consumption-based sales. Deliver partner onboarding, business reviews, certifications, and sales enablement while managing high-volume pipelines, forecasting, deal registration, distributor alignment, and presales collaboration in Salesforce.

Leads finance transformation by owning core financial processes, modernizing ERP and planning systems, deploying AI and automation, partnering with engineering and data teams, redesigning workflows, establishing controls, and driving organizational adoption. The role requires senior finance leadership, strong systems expertise, hands-on AI transformation experience, process governance, and the ability to translate between finance and technology.

Develop and deploy AI and machine learning solutions that improve internal efficiency and create customer value. Responsibilities include integrating data from diverse sources, transitioning prototypes into production, integrating models with existing systems, optimizing performance, maintaining code quality, improving business processes, and supporting organizational adoption through training and change management.

Develops data-driven business insights through statistical analysis, SQL querying, dashboards, reporting strategy, and executive storytelling. Translates analytical findings into actionable recommendations, oversees reporting roadmaps, partners with visualization and engineering teams, and identifies business risks and opportunities. The role is fully onsite on a night shift in Imus, Cavite or Ortigas.