Role Summary

As a Data & Machine Learning Engineer, you'll bridge the gap between raw data, machine learning systems, and actionable insights. You will build and maintain data pipelines, refine ML workflows, and drive the production-readiness of our AI-powered products.

You'll also play a key role in integrating Human+AI collaboration into day-to-day workflows - using AI agents to enhance productivity, automate repetitive tasks, and unlock scalable intelligence delivery.

This role supports both internal teams and external partners through data reliability, smart automation, and insight-ready systems; with the long-term goal of enabling agentic AI systems that can reason, act, and adapt autonomously to deliver business value at scale.

Key Responsibilities

Data, Product & Research (70%)

Data Engineering & Infrastructure

• Design, build, and maintain ETL/ELT pipelines to support analytics and machine learning workflows.
• Manage and optimise data infrastructure across cloud platforms (AWS, GCP, Azure) and on-premise servers.
• Ensure data integrity, reliability, and governance across internal and partner-facing datasets.
• Monitor and improve performance of production data systems and ingestion pipelines.
• Develop and maintain JobTech's labour demand data acquisition pipelines and framework, ensuring high-quality, timely, and scalable data collection across job portals and other sources.

Machine Learning Engineering & MLOps

• Implement and maintain pipelines to refresh ML models automatically with new data.
• Transition legacy rule-based models to machine learning driven systems for skill extraction and clustering.
• Develop workflows for model deployment, versioning, monitoring, and scaling (MLOps readiness).
• Support model evaluation through automated testing, A/B experiments, and performance tracking.

Data Infrastructure & Quality

• Build and maintain data ingestion and transformation workflows, ensuring data is processed, documented, and delivered accurately across internal systems and use cases.
• Maintain high-quality pipelines for (JobTech Labour Market Information (LMI), partner uploads, campaign metrics) and integrity.

Research Collaboration & IP Development

• Collaborate with academic and research partners to co-develop data models, insight frameworks, and new intellectual property (IP) that can power future JobTech products or publications.

Customer (20%)

Insights, Reporting & Customer Enablement

• Work closely with Sales, Marketing, and Customer Success teams to generate insight decks, campaign data summaries, and customer-facing reports.
• Translate unstructured textual data into structured insights (e.g., job descriptions, CVs, skills frameworks) and manage JobTech's public analytics dashboards.
• Run A/B tests on platform usage or behavioural data to inform product or UX decisions.
• Address internal and client queries related to JobTech's data, analytics, and model outputs.

People & AI - Hybrid Collaboration (10%)

Cross-functional Support

• Collaborate with implementation teams to deliver integrated data solutions for customer campaigns.
• Participate in end-to-end project cycles including requirements gathering, validation, UAT, and production cutover.
• Work with engineering and product teams to embed AI and insights into platform features and workflows

AI Agents & Collaboration

• Use AI agents to accelerate coding, documentation, and data validation workflows
• Collaborate with team members to embed prompt engineering into analytics, insight generation, and automation tasks
• Help shape best practices for day-to-day AI tool usage to increase team productivity and scale high-impact work

Requirements

Experience

• At least 5 years of hands-on experience in data engineering, ML engineering, or applied data science roles in fast-paced environments.
• Experience working with unstructured textual data and NLP-based systems is preferred.
• Proven ability to build, maintain, and optimise data pipelines and analytical workflows.

Skills

• Proficient in Python for data analytics and pipeline development.
• Solid knowledge of SQL and NoSQL databases, with experience in both relational (e.g. MariaDB, Postgres), cloud-based data warehouses (e.g. BigQuery, Redshift), and document-based systems.
• Familiar with text mining and natural language processing (NLP) techniques; hands-on implementation experience is a plus.
• Experienced in using AI agents (e.g. ChatGPT, Claude) to augment daily development tasks such as code generation, testing, documentation, and insight drafting.
• Comfortable working with interactive visualisation libraries or frameworks (e.g. Plotly, Dash, D3.js); experience building dashboards is an advantage.
• Programming experience in Next.js is a bonus, especially for embedding insights into product UI.
• Working knowledge of microservices architecture, cloud infrastructure platforms (AWS, GCP, Azure), and CI/CD deployment processes.
• Strong documentation and code review habits for collaborative development and production readiness.

Soft Skills

• Self-starter with a proactive mindset and the ability to work independently and in cross-functional teams.
• Strong analytical thinking, with an eye for detail and a pragmatic approach to solving real-world data problems.
• Effective communicator who can explain technical work clearly to non-technical stakeholders.
• Curious, adaptable, and committed to building resilient, production-grade solutions.

Information Security & Compliance Responsibilities

• Policy Adherence: Follow JobTech's information security policies, procedures, and best practices consistently.
• Risk Management: Identify, assess, and mitigate security risks to safeguard sensitive and confidential information.
• Incident Response: Support the detection, reporting, analysis, and response to security incidents or breaches.
• Security Awareness: Participate in regular information security training and uphold best practices across all activities.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data and information assets.
• Regulatory and Legal Compliance: Adhere to all relevant legal, regulatory, and contractual obligations related to information security.
• Team Collaboration: Work closely with internal cross-functional teams to ensure integrated and consistent security measures.
• Confidentiality and Data Handling: Protect sensitive information and maintain strict confidentiality in line with JobTech's data protection standards.
• Continuous Improvement: Stay current with evolving security threats and technologies, and contribute to strengthening JobTech's overall security posture.

Bonus Traits

• Experience with skills taxonomies, embeddings, or large language models.
• Familiarity with SOC2, ISO 27001, or data security principles.
• Prior experience deploying ML systems in real-time or near-real-time settings.
• Contributor to internal AI knowledge bases or MLOps frameworks.
• Experience collaborating with researchers, universities, or think tanks to produce applied data research or co-develop commercialisable IP.
• Interest in designing toward agentic AI systems that combine data, reasoning, and task orchestration for autonomous value delivery.