CUBE

About the Company

CUBE is an established leader in Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM). We deliver next-generation solutions that keep customers ahead of every-changing regulatory demands, enable them to reduce the risk of regulatory breaches or the propensity to miss regulations. The CUBE RegPlatform product portfolio is powered by a purpose-built regulatory AI engine (RegBrain). They track, analyse, and monitor laws, rules, and regulations in every country and in every published language to create an always up-to-date regulatory view.

With over 700 employees, a global footprint across six main hubs, we can support customer needs across all time zones and territories. CUBE has c.1000 customers in banking, insurance, asset and investment management, payments and associated industries.

Listed Jobs

Company Name

CUBE

Job Title

AI Engineer

Job Description

Job title: AI Engineer Role Summary: Design, develop, and production‑grade deploy AI/ML solutions—recommender systems, NLP pipelines, and LLM‑driven features—for regulatory compliance SaaS products. Lead end‑to‑end engineering from research to cloud deployment, primarily on Azure, ensuring scalability, model interpretability, and operational reliability. Expactations: - Minimum 2 years of professional experience in machine learning, preferably in NLP. - Proven ability to select, implement, and tune statistical/ML models for complex, high‑dimensional data. - Experience writing clean, testable Python code and working with SQL, NoSQL, or graph databases. - Strong grasp of data structures, data modeling, and software architecture, especially in cloud settings. - Ability to communicate technical concepts effectively to cross‑functional teams. Key Responsibilities: - Build, enhance, and productionise ML and LLM features for internal and customer platforms. - Solve problems such as hierarchical classification, personalized legal document filtering, and heterogenous text data networking at scale. - Develop agent‑ready tools that leverage knowledge graph insights. - Deploy interpretable ML/DL models on Azure, ensuring efficient scaling and operational robustness. - Collaborate with subject‑matter experts to translate research into product‑ready solutions. - Continuously explore and integrate the latest research to improve products and services. Required Skills: - Machine learning & NLP expertise (classification, recommendation, LLMs). - Python programming (Pandas, Scikit‑learn, PyTorch/TensorFlow). - SQL and NoSQL/graph database proficiency. - Cloud architecture knowledge (Azure ML, Synapse, Kubernetes, CI/CD). - Data modeling, software architecture, and scalable system design. - Strong analytical, problem‑solving, and communication skills. - Optional: LLM deployment, recommender system theory, neurosymbolic AI, portfolio evidence (GitHub, Kaggle). Required Education & Certifications: Not specified.

London, United kingdom

Hybrid

Junior

27-01-2026

Company Name

CUBE

Job Title

Head of Infrastructure and Cloud Operations

Job Description

Job Title: Head of Infrastructure and Cloud Operations Role Summary: Lead global infrastructure and operations, overseeing on‑premise, hybrid, and cloud environments, plus 24/7 production support, to deliver scalable, secure, and reliable services. Expactations: Deliver end‑to‑end infrastructure strategy, ensure uptime and cost efficiency, drive automation and IaC maturity, manage change governance, and lead a distributed team across time zones. Key Responsibilities: - Manage global 24/7 production support and on‑prem infrastructure teams. - Define and execute infrastructure strategy across Azure, AWS/GCP, VMWare, and legacy systems. - Build integrated practices for performance, security, and operational health. - Establish incident response, monitoring, playbooks, capacity planning, and SLO metrics. - Govern change management: CAB oversight, rollback plans, risk assessments. - Advance automation (Terraform, Ansible) and CI/CD pipeline maturity. - Partner with Help Desk, Security, Architecture, and SRE to align infrastructure with business goals. - Own cost optimization, alert fatigue reduction, and KPI tracking. - Hire, mentor, and scale the international infrastructure team. Required Skills: - 10+ years in infrastructure, SRE, or operations leadership. - Proven experience with production support, engineering, and change delivery. - Deep knowledge of ITIL, DevOps, incident, and change governance frameworks. - Technical expertise in Azure (preferred), AWS/GCP, VMWare, Terraform, Ansible, CI/CD, and monitoring tools. - Strong organizational, cross‑functional leadership, and stakeholder management skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related field. - Relevant certifications: Azure/AWS/GCP, Terraform, ITIL, or SRE are highly desirable.

London, United kingdom

Hybrid

Senior

11-03-2026