151 to 175 of 333 AI Jobs in Glasgow

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 ...

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 ...

RoleWe help leading aerospace and defence manufacturers transform how they design, build and deliver complex products. Combining deep sector expertise with strategy, engineering, data, AI and cloud capabilities, we turn ambitious manufacturing visions into measurable business outcomes.From defining smart factory strategies and accelerating production ramp-up, to deploying Industry 4.0 … Manufacturing, Engineering, , quality and supply chain to define requirements and future operating models.Support the deployment of Industry 4.0 technologies, including MES, Industrial IoT, AI, digital work instructions and connected worker solutions.Deliver high-impact transformation programmes that improve productivity, quality, delivery performance and manufacturing agility across aerospace and defence operations.Collaborate with ...

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 … services in your area: scoping, architecture, development, deployment, and monitoring production. Design data models and workflows covering a wide range of use cases across AI chemistry, synthesis, and manufacturing. Build and maintain robust, observable pipelines for internal, client-specific, and literature data. Work directly with chemists and operations staff ...

beyond dashboard development and help shape the future of customer reporting at Royal London. You’ll join a product team within our Group Data & AI Office delivering customer reporting data products across the organisation. Consumer Duty reporting remains an important focus, while the team continues to build a trusted, consistent … Code and YAML-based deployment capabilities. Champion Data DevOps practices and help the team establish effective, sustainable ways of working. Explore opportunities for AI-enabled reporting and Agentic BI. Research emerging technologies and introduce practical new tools and approaches. Influence technical direction while working collaboratively in an Agile, Kanban-based ...

more about how we use and process your data, please read our Privacy policy . If you want to find out more about using AI in our recruitment process, please read more here . Disability Confident We're not just guided by data, we're driven by the real experiences … reliable, efficient and scalable. Alongside this, you will create technical documentation, reference implementations and reusable assets, sharing knowledge and best practice across the AI, analytics and engineering communities to support capability growth and continuous improvement. A key aspect of the role will be challenging existing approaches and identifying opportunities ...

standards, accessibility, and development best practice## **Bonus:*** Building microservices in C#* Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc.* Using the GOV.UK Design System and using Nunjucks## **WHAT YOU'LL LOVE ABOUT WORKING HERE?**We are delighted to have received the **“Glassdoor Best … delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. #J-18808-Ljbffr ...

provide the best of full stack software engineering, cloud and platform engineering. This includes fluency in Cloud Native, Data, Mobile, Internet of Things, Gen-AI, Frontend, Platform Engineering and Creative Design. If you’re looking for an exciting career working in a vibrant environment with access to training … join our vibrant Product practice, based at our London offices on a full-time, permanent basis. Within our team, you will learn to leverage artificial intelligence alongside other cutting-edge technologies and innovative methodologies. You will gain hands-on experience with a variety of tools and techniques that will help ...

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 ...

Senior Software Engineer (AI Native), Glasgow, Hybrid/Remote Salary: £65,000 to £80,000 Award winning and growing fast We've had a big year. Simple Online Healthcare was featured in the Financial Times 1000 Fastest-Growing Companies in Europe 2026, the Sunday Times 100 (the UK's fastest … doing Join a lean, senior engineering squad and own services end to end, from design through to production. Work spec first. AI generates the code, tests and documentation, and you architect, review, integrate and assure the quality of what ships. Build the core components of Simple's healthcare platform, with ...

time with strong ownership and accountability Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate Leverage enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, 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 Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Hands-on experience in system design, Python ...

what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments Technology , you are an integral part of an AI-first team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical … evolves our flagship public repositories, including the agent skills and MCP server that let external developers drive JPMorgan Payments capabilities from their own AI tooling Builds the paved road for external SDK and library publication under Open Source Governance, taking pilot products from internal repository to public package manager ...

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 ...

Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies 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 … experience delivering system design, application development, testing, and operational stability 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 its technology systems Practical cloud-native experience Experience with Java, Spring ...

modern, cloud-native microservices platform. You will partner across engineering, site reliability, product, and controls teams to deliver resilient, scalable systems — including a new AI-powered monitoring tool that brings intelligent event enrichment, correlation, and root cause analysis to the firm. This is a brilliant role for an engineer with … throughput. Collaborate cross‐LOB with product, application teams, SRE/operations, and controls to ensure reliable adoption and effective incident response. Explore and evaluate AI for Ops approaches with partners across SRE and observability. Drive POCs and data‐driven adoption where appropriate. Lead evaluation and architecture discussions with internal teams ...

Support the migration of consumers onto the new provisioning capability, including building and maintaining the automation that makes that migration repeatable 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 Contribute to the engineering community as an advocate of firmwide frameworks, tools ...

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 ...

improve CI/CD for UI delivery (linting, automated tests, quality gates, build optimization, release automation) and reduce flaky tests. Use JPMorganChase-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 coding … 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 ...

Build the platforms that make advanced AI practical at scale. In this role, you’ll shape standards, tooling, and reliable inference foundations that help engineering teams move faster with confidence. You’ll work hands‐on with modern large language model serving stacks and performance tuning, while partnering closely with platform … others through great developer experience, you’ll find meaningful impact and growth here. Job Summary: As a Senior Lead Software Engineer in Corporate Technology – AI, Machine Learning and Data Platform, you will lead the design and delivery of secure, stable, and scalable platform capabilities that simplify adoption ...

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 ...

tackling model start‐up latency and warm/pooled compute, evaluating instance pools, serverless, and warm‐executor patterns Drives adoption and governance of approved AI‐assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test acceleration, release readiness … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‐assisted development and automation capabilities, Set engineering standards for testing strategy, CI/CD, secure‐by‐default practices, observability, and backwards‐compatible versioning across shared libraries ...

solve complex problems. Develop secure, high-quality production code, and review and debug code written by others. Drive 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 … testing) and promoting reuse of effective patterns across the team. 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. Identify opportunities to eliminate or automate remediation of recurring issues to improve overall ...

appropriate discipline expertise to identify and recommend platforms and technologies that maximise client value, project outcomes and long-term sustainability. Working with the AI Champions, explore and responsibly adopt AI-enabled and agentic workflows, automation and emerging development practices, fostering experimentation, continuous learning and innovation. Build stronger connectivity across regional … digital teams, increasing visibility, knowledge sharing and collaboration to ensure capabilities, expertise and opportunities are leveraged globally. Encourage modern delivery approaches, including rapid prototyping, AI-assisted development (e.g. Copilot, Cursor and similar tooling), agentic workflows and "vibe coding" techniques, while maintaining appropriate quality, security and governance standards. Manage delivery risks ...

Manager, Software Development - Risk R&D, AI, Architecture & Innovation - Hybrid, Glasgow, Scotland, UK We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you’re looking for a dynamic, fulfilling career … department where technology innovation, strategic architecture, and domain expertise come together to deliver industry-leading Risk solutions. As a Software Development Manager on the AI, Architecture, and Innovation team, your primary focus will be hands‐on software development and technical leadership. This role combines active participation in the design, development ...