McGregor Boyall

About the Company

McGregor Boyall is a woman-owned global recruitment consultancy that has been delivering top talent since 1987. With offices across the UK, Europe, the Middle East, and North America, we specialise in mid-senior recruitment for Financial Services, Commerce, Industry, and the Public Sector. Our specialisms span all technology verticals and core business functions, and our success is built on our consultants' professionalism, expertise in subject matter, and deep market knowledge. Clients trust us as a strategic partner, consistently delivering on their requirements with speed and quality.

Listed Jobs

Company Name

McGregor Boyall

Job Title

Software Engineer

Job Description

**Job Title** Mid‑Level Software Engineer – Technology & Innovation **Role Summary** Mid‑level engineer responsible for designing, building, and maintaining a cloud‑agnostic data and AI platform that powers client‑facing digital products. Works on AI/ML/GenAI deployments, cloud‑native infrastructure, and automation to enhance operational efficiency across real‑asset and sustainability data services. **Expectations** - Deliver scalable, secure cloud solutions on a mixed‑cloud strategy. - Deploy AI/ML and Generative AI models into production environments. - Collaborate with product, data, and security teams to meet regulatory standards. - Continuously improve infrastructure and automation to reduce manual effort. **Key Responsibilities** - Design, develop, and optimize cloud platforms (Azure, Kubernetes, serverless) and data pipelines (ETL/ELT). - Build and maintain API‑first, cloud‑native systems for internal and client use. - Deploy, monitor, and iterate on AI/ML and LLM solutions (e.g., GPT, Claude, Gemini). - Implement RPA and AI‑driven automation to streamline operations. - Create and maintain dashboards and analytics for stakeholders. - Ensure security, governance, and compliance across all deployments. **Required Skills** - Cloud engineering: Azure, Kubernetes, serverless, and DevOps practices. - Programming: Python, SQL, and relational database design. - Data engineering: data platform architecture, ETL/ELT, and analytics. - AI/ML: experience with AI tools and large‑language‑model integrations. - Security and governance: understanding of regulated environments and data protection standards. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or equivalent technical experience. - Optional certifications: Azure Solutions Architect, Kubernetes Administrator, or similar cloud/DevOps credentials.

London, United kingdom

Hybrid

09-03-2026