Job Description

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. 

Accountabilities

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an AI Engineer for Barclays Private Bank and Wealth Management, where you will be part of a growing engineering function focused on delivering the bank’s strategic AI agenda. You will contribute to the development of Agentic AI solutions that enhance front-office productivity, improve client experiences, and support innovative business outcomes across the organisation.

This is an exciting opportunity for an early-career engineer with a passion for AI and emerging technologies and strong software engineering fundamentals and a willingness to learn. The role will include developing AI-powered applications and services using modern Python-based frameworks, supporting the implementation of Generative AI and Agentic AI solutions, and collaborating with engineering teams to build scalable, secure, and production-ready applications that deliver business value.

To be successful as an AI Engineer, you should have:

• Strong proficiency in Python with hands-on experience in AI/ML libraries (LangChain, LlamaIndex, or similar) and building production-grade applications.
• Proven ability to design, test, and optimise prompts for Anthropic models, including implementing RAG (Retrieval-Augmented Generation) patterns, MCP, and A2A protocols
• Familiarity with ML model deployment pipelines, monitoring, versioning, and automated testing frameworks for AI applications

Some other highly valued skills may include (3 desirable skills):

• Experience with vector stores (Pinecone, Weaviate, or AWS OpenSearch) and semantic search implementations for context-aware AI applications
• Experience building RESTful or GraphQL APIs and designing scalable, event-driven architectures for AI-powered services
• Experience deploying and managing applications on AWS, including Amazon Bedrock, Lambda, API Gateway, and related services for scalable GenAI solutions

You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology capabilities, as well as job‑specific technical skills.

This role will be based in Glasgow.