Siena Partnership

www.thesienapartnership.com

3 Jobs

22 Employees

About the Company

Siena Partnership is a boutique consultancy providing executive search, interim management, delivery teams and advisory services.

We connect high-performing professionals from technology, change, finance and operations across multiple sectors.

For further insight into the business please visit our website.

http://www.thesienapartnership.com

Listed Jobs

Company Name: Siena Partnership
Job Title: Senior Application Security Engineer
Job Description: Job Title: Senior Application Security Engineer Role Summary: Drive the integration of application security into the product development lifecycle and CI/CD pipelines for a high‑volume fintech platform. Lead security assessments, remediation planning, and continuous improvement of AppSec controls while collaborating closely with engineering, SRE, and product teams. Expactations: - Individual contributor with strong software engineering foundation. - Influence security strategy and road‑mapping, ensuring security is embedded from inception. - Provide actionable risk visibility and progress metrics to leadership. Key Responsibilities: - Conduct structured reviews of web applications and APIs, mapping current AppSec controls. - Identify critical vulnerabilities, system weaknesses, and quick‑win remediation opportunities. - Triage and prioritize issues based on risk and business impact. - Embed SAST, DAST, SCA, and secrets scanning into CI/CD pipelines. - Partner with SRE and engineering on secure architectures and coding standards. - Drive threat modeling for key products and high‑risk changes. - Support and oversee application penetration testing activities. - Mentor engineers on secure design, coding, and review practices. - Develop lightweight security guidelines, playbooks, and training materials. - Contribute to AppSec roadmap and recommend security tools/services. Required Skills: - Deep knowledge of web application and API security. - Expertise in threat modeling, secure coding, and code review. - Hands‑on experience with SAST, DAST, SCA, and secrets scanning tools. - Practical understanding of CI/CD pipelines, cloud‑native architectures, microservices, and APIs. - Ability to integrate security into SDLC and change management processes. - Strong communication skills for coaching and influencing cross‑functional teams. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Security, or related field. - Industry certifications preferred: CISSP, OSCP, CISM, or equivalent.

London, United kingdom

On site

Senior

01-12-2025

Company Name: Siena Partnership
Job Title: Senior AI Engineer
Job Description: Job title: Senior AI Engineer Role Summary: Senior Full Stack AI/ML Engineer responsible for converting third‑party AI models into production‑grade systems, establishing an internal ML engineering capability, and ensuring long‑term model reliability and observability. Expactations: - Deliver robust, scalable AI/ML solutions on a 6‑month contract - Lead technical design, deployment, and continuous improvement of model pipelines - Mentor internal teams and disseminate best practices across engineering units Key Responsibilities: - Deploy and operationalise AI/ML models in live production environments - Build observability, monitoring, and continuous evaluation frameworks for model performance and drift - Design, implement, and maintain CI/CD pipelines for scalable, reproducible model delivery - Optimize performance, reliability, and efficiency of existing AI solutions - Set up tooling for model serving, versioning, and lifecycle management - Lead documentation, knowledge transfer, and up‑skill internal stakeholders Required Skills: - Proficient in Python and ML frameworks (PyTorch, TensorFlow) - Experience with MLOps tooling (MLflow, Kubeflow, or equivalent) - Strong knowledge of Docker, Kubernetes, and CI/CD pipelines - Cloud platform expertise (AWS, Azure, or GCP) with Terraform preferred - Familiarity with financial services domain a strong advantage Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field - Certifications in cloud platforms (AWS Certified Solutions Architect, Azure AI Engineer Associate, or GCP Professional Data Engineer) are desirable.

London, United kingdom

Hybrid

Senior

15-12-2025

Company Name: Siena Partnership
Job Title: Data Scientist
Job Description: **Job Title** Data Scientist **Role Summary** 6‑month contract within the central Data & Analytics function. Responsible for evaluating, optimising, and enhancing AI/ML and agentic AI models supplied by third‑party vendors. Ensure model robustness, scalability, documentation, and regulatory compliance while facilitating knowledge transfer to build a permanent in‑house data science capability. **Expectations** - Deliver high‑quality model assessment and optimisation within contract timelines. - Maintain strict adherence to data protection and regulatory standards. - Communicate insights and recommendations clearly to non‑technical stakeholders. - Provide actionable guidance for future in‑house model development. **Key Responsibilities** - Evaluate existing AI/ML and agentic AI models for performance, bias, and maintainability. - Optimise model pipelines, retraining strategies, and deployment workflows. - Validate models against regulatory requirements and industry best practices. - Document model assumptions, performance metrics, and operational procedures. - Conduct knowledge‑transfer sessions and provide training to internal teams. - Collaborate with technology, data engineering, and business units to align solutions with strategic goals. **Required Skills** - Proficient in Python and ML frameworks (PyTorch, TensorFlow, scikit‑learn). - Hands‑on experience with large language models, prompt engineering, and agentic AI frameworks. - Strong understanding of data pipelines, cloud platforms (e.g., AWS, Azure, GCP), and model governance practices. - Familiarity with financial services or asset‑management data and regulatory environment. - Excellent communication skills, able to explain complex technical concepts to non‑technical audiences. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. - Relevant certifications in AI/ML or cloud platforms are an advantage but not mandatory.

London, United kingdom

Hybrid

15-12-2025