£537 Per day
Inside
Onsite
Glasgow, Scotland, UK
Summary: The AI ML Architect role involves leading a team in financial services, focusing on AI solution design, machine learning engineering, and stakeholder engagement. The position requires hands-on expertise in various AI technologies and a strong architectural background. The successful candidate will be responsible for developing scalable AI systems and ensuring compliance with regulatory standards. This is a contract position based in Glasgow with a pay rate of £537 per day.
Key Responsibilities:
- AI Solution Design & Architecture
- Own the full Agentic AI pipeline from concept to deployment
- Architect scalable infrastructure for financial intelligence and decision automation
- Translate complex technical and business requirements into actionable design patterns
- AI & ML Engineering
- Design, train, and optimize ML models for fraud detection, risk scoring, predictive analytics, and regulatory compliance
- Build AI systems using Python, AWS SageMaker, Bedrock, pgvector, Redis, and other OSS tools
- Agentic Framework Development
- Implement multi-agent systems using LangGraph, Crew AI, and Strands SDK
- Integrate agents into Kubernetes-native environments with CI/CD pipelines and GitLab
- Consulting & Stakeholder Engagement
- Experience in AI/ML solutions within financial services
- Partner with financial SMEs, IT teams, and executives to identify high-impact opportunities
- Drive workshops, technical discovery sessions, and AI strategy formulation
- Model Operations & MLOps
- Build robust pipelines for model training, validation, and deployment
- Establish automated processes for scalability, reproducibility, and continual learning
- Advanced Capabilities
- Design Real Time analytics solutions
- Ensure compliance with regulatory and ethical considerations in financial AI systems
Key Skills:
- Proven track record as an AI Architect or Senior ML Engineer in financial domains
- Hands-on experience with Generative AI, Agentic AI, and NLP-based applications
- Strong proficiency with Python, AWS (SageMaker, Bedrock), and open-source toolkits
- Experience with vector DBs, caching systems, and agent orchestration frameworks
- Experience with Kubernetes, CI/CD, and version control workflows
- Consulting background with ability to translate business needs into technical deliverables
- Excellent communication and stakeholder management
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
Salary (Rate): £537 per day
City: Glasgow
Country: UK
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: AI ML Architect
Location: Glasgow- 2-3 days
Duration: 31/12/2026
Pay Rate: £537 per day
Role Description:
Looking for a seasoned AI Architect to lead an established team in financial services. This role requires hands-on expertise in Machine Learning, GenAI, Agentic AI, and NLP, paired with deep architectural insight and a consulting mindset.
Key Responsibilities:
AI Solution Design & Architecture
o Own the full Agentic AI pipeline from concept to deployment
o Architect scalable infrastructure for financial intelligence and decision automation
o Translate complex technical and business requirements into actionable design patterns
AI & ML Engineering
o Design, train, and optimize ML models for fraud detection, risk scoring, predictive analytics, and regulatory compliance
o Build AI systems using Python, AWS SageMaker, Bedrock, pgvector, Redis, and other OSS tools
Agentic Framework Development
o Implement multi-agent systems using LangGraph, Crew AI, and Strands SDK
o Integrate agents into Kubernetes-native environments with CI/CD pipelines and GitLab
Consulting & Stakeholder Engagement
o Experience in AI/ML solutions within financial services
o Partner with financial SMEs, IT teams, and executives to identify high-impact opportunities
o Drive workshops, technical discovery sessions, and AI strategy formulation
Model Operations & MLOps
o Build robust pipelines for model training, validation, and deployment
o Establish automated processes for scalability, reproducibility, and continual learning
Advanced Capabilities
o Design Real Time analytics solutions
o Ensure compliance with regulatory and ethical considerations in financial AI systems
Qualifications & Skills:
Proven track record as an AI Architect or Senior ML Engineer in financial domains
Hands-on experience with Generative AI, Agentic AI, and NLP-based applications
Strong proficiency with Python, AWS (SageMaker, Bedrock), and open-source toolkits
Experience with vector DBs, caching systems, and agent orchestration frameworks
Experience with Kubernetes, CI/CD, and version control workflows
Consulting background with ability to translate business needs into technical deliverables
Excellent communication and stakeholder management
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.