Forward Deployment Engineer

Workday

Forward Deployment Engineer developing and improving software for Barclays using AI/ML methodologies. Collaborating with cross-functional teams to deliver high-quality solutions while adhering to secure coding practices.

Posted 4/16/2026full-timeGlasgow • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptPythonReact

About the role

Key responsibilities & impact

Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.

Requirements

What you’ll need

Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).
Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver production systems.
Experience in delivering in financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices.
Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications.
Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/CD pipelines with delivering AI solutions from concept to production.
Excellent communication and consulting skills with ability to build trust, manage stakeholder expectations, and drive AI capabilities across diverse business units.
Experience with vector databases, prompt engineering, fine-tuning, understanding of when to apply different AI approaches to business problems.
Knowledge of data engineering, analytics, and visualisation tools to support end-to-end solution delivery including data pipelines and user interfaces.
Experience with React/JS Frameworks

Benefits

Comp & perks

Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

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Hard Skills & Tools

AIMLLLMsRAG architecturesPythonAPIsfull-stack developmentMLOpsReactJS Frameworks

Soft Skills

communicationconsultingstakeholder managementtrust building