26 to 50 of 59 AI Jobs in Glasgow

codebase Rust-C++ interoperability using tools such as cxx or bindgen Python bindings with PyO3 and maturin, plus Python testing with pytest Experience of AI-assisted development, such as using Claude Code and directing coding agents on architectural decisions Implementing algorithms from specifications, and reasoning about their efficiency and complexity ...

Subject in one of the following subject areas: Aeronautical or Aerospace Engineering Electrical and/or Electronic Engineering Information Technology Mathematics Physics Systems Engineering AI, Machine Learning and Cybernetics All applicable technical or related degrees will be considered Benefits Competitive salary of £34,000 per annum Performance-related pay uplifts ...

Role: We're looking for hands-on Python Developers at Senior level who have experience building software and a practical understanding of Generative AI, LLMs and RAG. This is a coding-focused role for engineers who enjoy building real solutions. You'll use Python as your primary development language, developing … APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search. You'll work across the development lifecycle, helping take GenAI ideas and POC's through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using ...

technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: 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 … 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. ...

client is a leading British bank. We are seeking a skilled AI Engineer at our client to develop and implement machine learning and AI solutions that strengthen our ability to detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists, engineers, and senior technical colleagues … will contribute to scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring solutions. You will support delivery across the AI/ML lifecyclefrom data exploration and model development through to deployment and monitoringwhile working within established governance, documentation, and regulatory standards. To be successful ...

will design and deliver a firmwide metrics and analytics platform that brings visibility to engineering performance, delivery health, and the measurable impact of AI-assisted development. You will work end-to-end from data pipelines and backend services to modern web dashboards partnering with engineering leaders and teams across … deliver production-grade, maintainable software Deploy and operate services on cloud and container platforms, ensuring reliability, scalability, and operational excellence Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating ...

start-up team, strong adaptability, and the capacity to flex during peak delivery periods to meet critical deadlines Skilled in leveraging firm-approved AI-assisted productivity and engineering tools (e.g., GitHub Copilot and LLM models/assistants) to accelerate product delivery (requirements, analysis, documentation) while adhering to data handling, risk … working in a fast-paced, dynamic environment working across digital groups and time zones. Advanced degree and technical background preferred Experience implementing team-wide AI-assisted delivery practices (templates, workflows, and quality checks) to improve speed while maintaining quality and controls ABOUT US Our client is a global leader ...

recognised certifications (exam voucher and exam resit support included): Microsoft Power BI Data Analyst (PL-300) Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated ...

team and products Engage with communities of practice across Software Engineering to learn about and adopt new and emerging technologies Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities ...

improve CI/CD for UI delivery (linting, automated tests, quality gates, build optimization, release automation) and reduce flaky tests. Use our client-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate refactoring, feature changes, test generation, and documentation with rigorous human validation. Leverages enterprise-authorized AI … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring ...

maintain a delivery-ready backlog. Lead backlog refinement, sprint planning, reviews, and UAT, ensuring delivered functionality meets agreed requirements and user outcomes. Use AI-enabled tools to create prototypes and demonstrations that make ideas tangible, test assumptions, and accelerate decisions. Data Product & Domain Expertise Define capabilities that make data … lifecycle of data across systems. Understanding of APIs, data models, integrations, and the requirements needed to build reliable data services. Comfort using AI-enabled tools to develop prototypes or demonstrations that support discovery and stakeholder decisions. Strong analytical, communication, and stakeholder management skills, with a collaborative and customer-focused approach. ...

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000 £75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees … back. Location: UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access ...

estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygiene Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according … production environment Familiarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systems Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI ...

leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause … methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Demonstrated experience leading effective ...

leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause … methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience in developing, debugging ...

stakeholders to translate business and technical requirements into scalable platform designs, and document standards, patterns, and runbooks for team-wide use Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

modern API patterns. Develops secure and high-quality production code, and reviews and debugs code written by others Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

DevOps to lead technology operations, cloud transformation and security within an established international software business. A key feature of this role will be an AI-driven mindset. This is an opportunity to play a central role in the organisation's evolution towards a cloud-native SaaS model, modernising infrastructure, strengthening … teams, encouraging collaboration, accountability and continuous improvement. Managing technology budgets, supplier relationships and commercial negotiations, ensuring investment supports business priorities. Championing the adoption of AI and Agentic AI capabilities across technology teams, identifying opportunities to automate workflows, enhance engineering efficiency and improve productivity through intelligent tooling and AI-driven processes. ...

solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Produces architecture and design artifacts for complex applications while being accountable for ensuring ...

across cloud infrastructure, CI/CD pipelines, virtualised environments and Infrastructure as Code. Help identify and mitigate emerging security risks, including those associated with AI and modern cloud technologies. Technical Skills & Experience The successful Cyber Security Engineer is likely to bring experience across several of the following areas: Strong understanding … PowerShell. Understanding of IDS/IPS, vulnerability management and endpoint security. Experience working within or alongside Security Operations Centre (SOC) teams. Knowledge of AI security and AI hardening techniques. Experience with Infrastructure as Code technologies such as: Terraform CloudFormation Bicep Reference: AMC/RHU/CSE #ryhu ...

will help strengthen engineering standards, improve development practices, and ensure our technology platforms are ready to support future growth, including the adoption of emerging AI-enabled capabilities. What You'll Do As Lead Solution Architect, you'll provide architectural leadership across a broad portfolio of software products and services. Working … product-led technology organisations, or cloud-native software environments would be particularly valuable. Exposure to technologies such as .NET, C#, Python, microservices, and modern AI-enabled software development approaches would also be beneficial. Experience within the AEC sector or with platforms such as Autodesk or Bentley Systems would ...

Our client is a leading British bank. Join our team as a Lead Data Analyst, where you will play a key role in enabling data-driven transformation across the bank. The ideal candidate will have ...

with advancements in cloud technologies and provide recommendations for the adoption and implementation of new tools and approaches Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Contribute to a team culture that champions diversity, opportunity, inclusion, and respect Required ...

explore new technologies where appropriate Apply familiarity with availability, reliability, and scalability principles to iteratively improve outcomes in collaboration with partners Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security … requirements Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to service level objective outcomes Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering concepts and proficient applied ...

looking for an experienced Engineering Manager (Data) to lead the design, build, and evolution of a modern enterprise data platform that underpins advanced analytics, AI, and data-driven decision making. This is a highly technical, hands-on leadership role. You'll combine deep data engineering expertise with team leadership, helping … platform. You'll work across data ingestion, transformation, storage, governance, and consumption layers, ensuring the platform is secure, scalable, and capable of supporting future AI and automation initiatives. This role offers a unique opportunity to influence both technical strategy and hands-on delivery while building a high-performing engineering capability. ...