176 to 200 of 333 AI Jobs in Glasgow

Glasgow, where your ideas and expertise will help shape market-leading products. You’ll have the opportunity to drive innovation using the latest AI toolsets, contribute to business advancement, and grow your career in a supportive, agile environment. We value diversity, creativity, and a commitment to excellence—come help … agile methodologies, including CI/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills ...

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 ...

agile methodologies such as CI/CD, application resiliency, and security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with AI and full understanding of the SDLC process, and MongoDB Familiarity with reliability engineering concepts, including monitoring, alerting ...

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 ...

Software Developers using Agile/Scrum to deliver customer-facing services. You’ll continuously improve how we build—championing modern practices such as AI-assisted delivery, continuous integration, test-driven development, and systematic problem solving.You’ll partner across global business and technology teams to align priorities, manage delivery risk … keep teams engaged, and create the environment to consistently deliver on-time, high-quality outcomes.**Additionally, you will have the opportunity to:*** Scale methodical AI-enabled development workflows and guardrails (secure-by-design, privacy/IP protections) to improve throughput and quality* Own portfolio planning and delivery (scope, schedule, cost ...

elsewhere in the data function. Build the gold-layer data products and the interfaces that serve them, for downstream integrations and for MCP-based AI and agent consumption. Standards & Technical Leadership Translate the target architecture into working technical standards and hold the team to them in code. Provide hands … Azure or GCP) and streaming/real-time data. Wider data product experience across platforms such as Apache Spark, Databricks and Snowflake. Exposure to AI/ML data pipelines and emerging agent interfaces such as MCP. Hands-on master data management delivery experience. Relevant cloud or data engineering certifications. #J ...

learning Scala will also be considered, as most of the codebase is written in Scala. Enterprise-level Scala development experience is preferred. Experience using AI tools such as Claude, Amp, Deep Search, or similar to accelerate the software development lifecycle while maintaining strong technical judgment and oversight. Understanding of message … essential: Understanding of global regulatory reporting requirements Knowledge of the Equity Derivatives Knowledge of Agile software development practices Database performance tuning Experience integrating AI-assisted development tools into a real engineering workflow #GLTECH #HYBRID #LI-LM1 WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage ...

National Infrastructure, energy, public sector and enterprise markets, we combine deep industry expertise with leading technology services spanning managed services, cyber security, cloud, data, AI and digital transformation. Join Sword and you'll be part of a team solving complex challenges, delivering real-world impact and working alongside talented colleagues … increasingly complex solutions for our customers. Sword was recently named Splunk 2026 EMEA Services Partner of the Year for Outstanding Regional Partnership in the AI-Driven Era , recognising the strength of our technical expertise, customer partnerships and the work being delivered across our practice. It’s a great opportunity ...

reporting directly to the CTO/Portfolio Lead. Responsible for driving engineering-led innovation, building next-generation accelerators, architecting cutting‐edge GenAI and Agentic AI capabilities, and supporting the creation of differentiated IP for Atos’ global ServiceNow business. Strategic Impact Drive the technical innovation engine for the global ServiceNow business … aligned to portfolio strategy. Build reusable frameworks, accelerators, AI‐powered components, and IP that enhance competitive differentiation. Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging ServiceNow capabilities. Strengthen Atos’ positioning with ServiceNow through technical excellence, joint innovation, and prototype delivery. Enable faster time‐to‐market ...

perfect software engineering opportunity for you. If you thrive in collaborative environments, champion continuous learning, and are excited about the evolving possibilities of AI, we'd love to hear from you. As a Lead Software Engineer at JPMorganChase within Corporate Technology, you are an integral part of an agile team … 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 Familiarity with modern front ...

distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools. Job responsibilities Design and deliver robust full-stack solutions using Java/Spring Boot and React/TypeScript, applying strong engineering judgment … leading incident response and root cause analysis, reducing repeat incidents via preventative controls and automation, and enhancing observability 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 ...

Foster a culture of diversity, equity, inclusion, and respect, creating an environment where every team member can thrive 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 Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts ...

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 ...

experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing custom skills, building subagents, configuring MCP servers, and integrating AI tooling into development workflows Demonstrable experience with AI-native development practices: prompt-first development, AI pair programming, agent-assisted code review Solid understanding … tooling) skills and subagent architectures tailored to the squad’s domain — automating repetitive tasks, code generation, and review workflows Coach squad engineers on AI-native delivery habits: prompt-first PRs, agent-assisted reviews, effective use of Claude Code (or equivalent agentic CLI tooling) in daily development Feed learnings, patterns ...

Barclays seeks an AI Engineer in Glasgow to design, develop and deploy ML/AI solutions for financial crime detection, fraud prevention, and customer safeguards. You will collaborate with data scientists, engineers, and senior tech colleagues to build scalable ML pipelines and production-grade model code within governance standards. … role requires strong Python, ML lifecycle, and cloud experience, with exposure to Generative AI, NLP, and responsible AI practices. #J-18808-Ljbffr ...

# Service Designer (SC Eligible) - Consultant - AI & Digital FactoryManchester, Bristol, Glasgow, LondonApply for this job* Permanent* Experienced Professionals* Strategy & Transformation* ID 517382-en\\_GB##At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting … will champion inclusive and accessible design practices, ensuring services meet the needs of diverse user groups.You will be joining the growing and exciting AI & Digital Factory community who are continually sharing knowledge and expertise. You will bring a curious mindset and a passion for designing and improving digital services ...

team's technology strategy, evaluating emerging tools and frameworks to bring value to the technology stack 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 … 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 Required qualifications, capabilities, and skills Proven end-to-end autonomous ownership of complex ...

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 ...

engineers on daily tasks and activities Sets the overall guidance and expectations for team output, practices, and collaboration Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling …/outputs, and consistent use of reusable patterns across teams. 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 and support capacity unlock initiatives. Anticipates dependencies with other teams to deliver products ...

grow their business. So, it might not always be easy, but making the world a better place rarely is.## **About Capgemini**Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology ...

shaping the future of HR. At Capgemini Invent, we’re reimagining the future of HR through next-generation Shared Services, powered by Agentic AI and intelligent automation.Our approach integrates dynamic experience layers to deliver seamless, personalised employee journeys, transforming HR into a strategic enabler of business growth. Be part … role in guiding global organizations through the adoption, optimization, and innovation of Shared Services models, with a strong emphasis on ERP platform implementation and AI-driven process transformation. You will partner with clients to assess current capabilities, design future-state operating models, and deliver scalable, intelligent solutions that drive operational ...

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend … Chemify's commercial programmes and computational platform. You will sit within a cross-disciplinary team — computational chemists, in-house and partner medicinal chemists, AI researchers, data engineers, and automation scientists — and help translate structure, simulation, and machine learning into molecules we actually make. What sets this role apart ...

security vulnerabilities; support audit remediation efforts Operate with a dry-run-first, confirm-before-modify, audit-everything approach on production systems Design and maintain AI developer tooling, including prompt engineering and LLM-assisted code generation Required qualifications, skills, and capabilities Proficiency in Python, object oriented programming, context managers, generators … test-heavy development, including unit, integration, and regression testing Understanding of security best practices, including input validation and vulnerability remediation Experience with agentic AI and prompt engineering, including LLM-based code development Preferred Qualifications Background in financial services, derivatives pricing, market data, or valuation concepts Experience with distributed compute ...

stage Glasgow start-up built on the proposition that we can build AIagents you can actually trust with real work. Not satisfied with agentic AI that is stitched together fromscripts and hoped to behave, Kodamai uses formal methods (category theory, type theory, etc.) to createprecise specifications for what an agent … technical or quantitative field (e.g. Computer Science, Engineering, Mathematics). 7+ years in technology or applied science environments, with an emphasis on agentic AI or automated reasoning 3+ years directly managing applied science teams, with clear ownership of people management, software process, and delivery. Proven track record of managing teams ...

help in designing, developing and managing cloud platform provisioning solutions with a primary focus on GCP, while driving infrastructure automation, Kubernetes platform engineering, and AI‐assisted DevOps practices. Location: Glasgow. Hybrid Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Key Responsibilities Design, implement and maintain platform provisioning … using Python and Terraform to streamline infrastructure provisioning and operational processes. Implement and enhance automated deployment pipelines for cloud infrastructure and platform services. Leverage AI‐assisted coding tools such as GitHub Co‐Pilot and Claude Code to improve development efficiency and code quality. Drive automation initiatives to reduce manual intervention ...