126 to 150 of 333 AI Jobs in Glasgow

range of initiatives, including: Digital transformation and organisational change programmes Microsoft 365, SharePoint and Power Platform adoption Digital skills and capability development Artificial Intelligence (AI) and innovation projects Business case development and investment proposals Benefits realisation and digital improvement initiatives Supplier management and digital procurement activity Executive and Board-level ...

systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE listed on Euronext …/Portfolio Lead. This role is 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. The R&D Engineering Lead works collaboratively with Portfolio Directors and Value Engineering Directors ...

person technology services company backed by Hg Capital. Following our $1bn valuation in 2024, we’re scaling rapidly and investing in AI (artificial intelligence) to transform how we operate and how we serve our 30,000 SME (small and medium-sized enterprise) customers. As we continue to expand our portfolio ...

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 ...

Software Engineer, AI Data - Glasgow, United Kingdom Remote Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into … product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national ...

Title: Transformation Data & AI Architect Division: IS&T Location: UK/India Onsite/Hybrid/Remote/Shift Purpose of Role: Weir’s global SAP S/4HANA (S4+) transformation represents a once-in-a-generation opportunity to build the core business platforms that will support operational excellence … growth for the next decade. As we modernise our enterprise applications across SAP and complementary systems such as Salesforce, Workday and Coupa, data and AI are fundamental to unlocking the full value of this transformation. The Transformation Data & AI Architect is a senior leadership role within the S4+ Programme, responsible ...

technical audiences Demonstrated ability to take ownership of complex technical deliverables from design through to implementation Experience with Databricks or comparable cloud analytics and AI platforms Experience developing anomaly detection, process optimisation, automated insights or decision‐support products Experience in financial services, another regulated industry or a large, complex organisation … 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. We’re not just guided by data, we’re driven by the real experiences of our people. ...

transform how they develop, manufacture and deliver products in increasingly complex, regulated and competitive markets. Combining deep industry expertise with strategy, operations, 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 … technologies, transforming end-to-end AI-enabled operations, we deliver change at scale. Our rare blend of strategy, transformation, engineering and cloud expertise sets us apart. Joining our team means working at the forefront of manufacturing innovation, shaping mission-critical programmes, and helping clients build the compliant, resilient and intelligent ...

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 technologies … agility.* Develop compelling transformation roadmaps, operating models and business cases that secure executive sponsorship and investment.* Lead multidisciplinary teams across strategy, manufacturing, engineering, data, AI, cloud and technology disciplines to deliver business outcomes at scale.* Shape and oversee the deployment of Industry 4.0 solutions, including MES, Industrial IoT, AI-powered ...

value.**Team and ecosystem leadership**: Leading and coaching cross-functional teams across client, Capgemini, hyperscaler and third-party vendor organisations, and managing supplier relationships.**AI-enabled delivery:** Applying AI and GenAI tooling to accelerate programme delivery, and leading programmes that increasingly include AI and data workload migration and modernisationKey expectations … finance, procurement, engineering, security and operations, with the ability to enlist support and commitment from peers in a matrixed organisation.* Experience of programmes involving AI or data workloads, and/or using AI tools to accelerate programme delivery, is highly desirable.* Certifications in one or more of MSP, PMP, SAFe ...

integration tools, including JIRA, Maven, Git, Jenkins, GitHub, and BitBucket. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning). Preferred Qualifications, Capabilities, and Skills: Experience working across the entire software development life cycle in a large corporate environment. Completed … systems. Experience with observability and production management tools (e.g., Splunk, Dynatrace, Grafana). Interest in modern development trends and emerging technologies such as AI and machine learning. #J-18808-Ljbffr ...

Chemify is pioneering “Chemputation”, a digital chemistry platform that combines software, artificial intelligence and robotics to automate the design, synthesis and discovery of new molecules. Spun out of research led by Professor Lee Cronin and headquartered in Glasgow, Chemify is scaling its platform to accelerate chemical discovery for partners across … pharmaceuticals, agrochemicals and materials science. As the company grows, software is central to how Chemify's chemistry, robotics and AI capabilities come together, and this role will help shape it. The Role Chemify is looking for an experienced Senior Product Owner to join our Operations & Fulfilment team and lead product ...

Cybersecurity advisory and transformation consulting in areas such as security strategy, risk management, human risk management, data and identity security, secure intelligent industry, Gen-AI risk, and security operations modernisation.##Our security specialists and innovators enable our clients to evaluate cyber risks, redesign Cybersecurity operating models, modernise digital identity capabilities, lead … implementation of effective and secure architectural patterns that align with industry standards (e.g. CIS L1/2, NIST, ISO27001, COBIT, etc.).* **Generative AI** – Enabling the secure design and adoption of Gen AI for business, IT and/or security functions in alignment with the evolving regulatory landscape (e.g. ...

shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes … cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares’ data platform for AI by providing the foundation for reliable, high-quality data. What You Will Do: Design and maintain enterprise data architecture frameworks, standards, and best practices. Develop ...

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. ...

grow toward senior-level responsibilities, gain exposure to architectural thinking, and work with cutting-edge technologies, including Microsoft Foundry as part of emerging AI-driven capabilities. Candidates should apply if they’re looking for a role that blends hands-on engineering, problem-solving, continuous learning, and meaningful contribution to client … outcomes within a high-performing Data & AI business unit. A Data Engineer is responsible for several key activities: Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake ...

senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up — where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers … will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly ...

Summary: As a Lead Software Engineer – Python or Java with AI at JPMorgan Chase you will help design and build the core systems for our source code intelligence platform. You will work on distributed indexing and search infrastructure, multi-language semantic and AST analysis, and interfaces that enable AI agents … Java Build and enhance distributed indexing and search infrastructure for source code intelligence Develop multi-language semantic and AST analysis capabilities Create interfaces for AI agents to query and validate code Apply AI techniques to enable large-scale code search, vulnerability discovery, and SDLC automation Streamline engineering processes to improve ...

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 ...

Life Cycle Influence peers and project decision-makers to consider the use and application of 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 … 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 Foster a team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities ...

J.P. Morgan is seeking an Applied AI/ML Lead Engineer to design and productionize Generative AI and Agentic AI solutions. You will work across GenAI, RAG, and tool-using agents, delivering production-grade services on AWS and cloud-native platforms. The role emphasizes modern AI engineering workflows, strong software … engineering fundamentals, and collaboration with cross-functional teams to turn complex AI concepts into reliable business applications. #J-18808-Ljbffr ...

communities of practice and events that explore new and emerging technologies Foster a team culture of diversity, opportunity, inclusion, and respect 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 … integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.) Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

data and communicate conclusions clearly. Audit or accounting knowledge, including an understanding of audit risks and the audit process. Experience using data, technology and AI to solve problems, improve processes and generate insights, while applying appropriate judgement and protecting sensitive information. Strong organisational skills, with the ability to manage competing … interpersonal skills, with the confidence to work effectively with audit teams and clients. Ideally, you’ll also Have exposure to analytics, automation, cloud or AI technologies, with experience in tools such as Microsoft Azure, Databricks, Power BI, Microsoft Copilot, Python or SQL beneficial. Have experience working with financial or operational ...