Ardanis

Data Scientist

• - Design, develop, and deploy end-to-end AI/ML solutions, taking full ownership of projects.
• - Lead the implementation of RAG-oriented architectures, integrating language models with external data sources for accurate and up-to-date results.
• - Build production-level ML/AI systems following best software engineering and MLOps practices.
• - Implement automated deployment, monitoring, scaling, and optimization of AI models and infrastructure.
• - Perform advanced data analysis, including cleaning, variable transformation, and feature engineering.
• - Develop, train, optimize, tune, parallelize, test, and deploy ML/AI models in production environments.

Data Scientist – AI/ML

Frontend Engineer

• Design and implement responsive, maintainable, and reusable front-end components using React.js and TypeScript.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the technical feasibility of UI/UX designs and maintain a consistent design system.
• Optimize applications for maximum speed and scalability.
• Implement state management solutions (e.g., Redux, Zustand, or Recoil).
• Write clean, well-documented, and testable code following best practices and coding standards.
• Participate in code reviews, provide mentorship to junior developers, and contribute to architectural decisions.
• Integrate frontend applications with RESTful APIs or GraphQL services.
• Stay up to date with the latest frontend technologies, trends, and tools.

Senior React Developer

Security Engineer

• Define and implement enterprise-wide security strategies and frameworks aligned with ISO 27001, SOC 2, NIST CSF, PCI DSS, GDPR, and CIS Controls.
• Lead ISO 27001 and other regulatory compliance projects end-to-end, including audits, gap analysis, and remediation.
• Conduct threat modeling (STRIDE, DREAD) and risk assessments for systems, processes, and cloud environments.
• Oversee incident response, vulnerability management, penetration testing, and red/blue/purple team exercises.
• Design and implement security architecture for multi-cloud and hybrid environments (AWS, Azure, GCP).
• Integrate security into CI/CD pipelines, including SAST/DAST, IaC hardening, container and Kubernetes security.
• Implement automated compliance and security testing at scale.
• Develop and maintain information assurance policies, standards, and control frameworks.
• Mentor and guide security teams and cross-functional stakeholders, fostering a proactive security culture.
• Advise on adoption of emerging technologies and secure operational practices.
• Communicate complex security concepts to technical and executive audiences.
• Hands-on leadership role accountable for driving ISO 27001 and equivalent compliance programs and ensuring resilience against advanced threats.
• Lead complex security initiatives across engineering, DevOps, and product teams; provide technical guidance, threat intelligence, and strategic advice.

Lead Cybersecurity Engineer

Data Engineer

• Ardanis is currently looking for a Data Engineer to support a client in the hospitality sector in the UK. The role involves collaborating with a small, non-technical internal team to build and refactor a data warehouse, streamline reporting, and improve insights through Power BI. The engagement will begin with on-site presence in the UK for the first few weeks to work directly with the client team. After this initial phase, you can work both hybrid or remote!
• Key Responsibilities
• Design, build, and refactor a scalable data warehouse solution.
• Develop and optimize ETL/ELT pipelines for data integration and reliability.
• Support the enhancement of Power BI dashboards and reports.
• Train and upskill a small internal team to ensure knowledge transfer.
• Introduce best practices in data governance, documentation, and reporting.