Developer

Developer Contract - Glasgow - Inside IR35 - Hybrid

Day Rate - Up to £490

Duration - 12 months

Harvey Nash's Financial Service Client are looking to bring in a contract Python Developer, you will be required onsite 3 days per week, in their Glasgow office. You will join their architecture delivery team. This role focuses on build AI Architect empowering architects and developers in making informed, data-driven decisions, automating repetitive architecture tasks, and streamlining documentation workflows.

Key Responsibilities:

• Design, develop, and implement a scalable, AI-driven architecture platform.
• Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines.
• Drive the adoption of AI Architect and best practices across the development teams, ensuring consistency and alignment with enterprise standards.
• Participate in and lead architecture communities of practice to foster knowledge-sharing and innovation within the organization.
• Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems.

Skills / Qualifications:

• 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, or Python
• End-to-end Systems Development: Proven ability to architect and build complex systems with a long-term vision
• Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security.
• Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders.
• Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments.
• Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code
• Familiarity with AI-driven frameworks like knowledge graphs, natural language processing (NLP), or recommendation systems is a big plus.