Lead Data & AI Platform Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Lead the design and advancement of scalable data, analytics, and AI platforms that enhance customer operations, automation, and operational intelligence across global markets.

• Architect and refine Databricks-based data pipelines and enterprise data platforms that unify customer, operational, workforce, and AI datasets.

• Propel machine learning, NLP, Generative AI, and operational intelligence capabilities to enhance customer experiences, operational efficiency, and automation performance.

• Provide actionable insights and executive-level reporting to support strategic decision-making and operational enhancements.

• Establish engineering standards, governance frameworks, and best practices to ensure data quality, platform reliability, CI/CD, and AI lifecycle management.

• Collaborate with Product, Operations, Engineering, Workforce Management, and AI teams to synchronize technology investments with business goals.

• Offer technical leadership, coaching, and daily guidance to engineers and data scientists.

⛳️ Requirements

• Extensive experience in designing scalable data platforms, enterprise data architectures, and Databricks-based operational intelligence solutions.

• Demonstrated experience in roles such as Data Engineer, Analytics Engineer, Data Scientist, Machine Learning Engineer, AI Engineer, or a similar technical leadership position.

• Strong proficiency with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines.

• Experience in developing AI/ML solutions utilizing Python and contemporary data science frameworks.

• Solid background in statistics, machine learning, NLP, forecasting, and operational analytics.

• Comprehensive understanding of conversational AI ecosystems, intent modeling, NLU analytics, and AI performance evaluation.

• Experience in implementing CI/CD frameworks, version control, automated testing, and DevOps best practices.

• Proficient in creating scalable dashboards and reporting solutions using BI tools and modern visualization frameworks.

• Capability to independently manage complex initiatives with competing priorities and organizational visibility.

• Excellent communication, stakeholder management, and problem-solving abilities.

• Familiarity with Generative AI, LLM orchestration, prompt engineering, or AI-assisted automation workflows.

• Knowledge of Kubernetes, Docker, GitLab CI/CD, and modern ML deployment frameworks.

• Experience in supporting global or enterprise-scale customer operations environments.

• Understanding of contact center platforms such as Zendesk, Five9, Amelia, or conversational AI tooling ecosystems.

🏝️ Benefits

• Inclusive work environment.

• Support for balancing work and home life.

• Opportunities for professional and personal development.

• New experiences and learning from talented colleagues.

• Equal opportunities regardless of gender, race, sexual orientation, religion, age, disability status, or caring responsibilities.