Negotiable
Inside
Undetermined
Glasgow, Scotland, UK
Summary: The AI ML Architect role in Glasgow involves leading a team in financial services, focusing on the design and implementation of scalable AI solutions. The position requires expertise in Machine Learning, GenAI, Agentic AI, and NLP, along with strong architectural and consulting skills. The architect will work on various AI projects tailored to Banking and Capital Markets, ensuring compliance with regulatory standards. This role is PAYE through an umbrella company and emphasizes collaboration with stakeholders to drive AI strategy.
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): undetermined
City: Glasgow
Country: UK
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Role Title: AI ML Architect
Location: Glasgow
Duration: 31/12/2026
MUST BE PAYE THROUGH UMBRELLA
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. You'll drive scalable AI solutions tailored to Banking and Capital Markets, working at the intersection of data, automation, and domain strategy.
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
Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.