151 to 175 of 384 AI Jobs in Glasgow

drive improvements to coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverage 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 standardsApply 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 skillsFormal training or certification on software engineering concepts and proficient ...

build solutions or breakdown technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsLeverages 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 creation … standards; 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 design ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … present experienced professionals can earn salaries of upwards of £66,000. In todays digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Newto ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

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 ...

Title: AI & Automation Lead (SC Cleared) Location: Canary Wharf About the Role/Job Summary: Our client is seeking an experienced AI & Automation Lead to drive the design and implementation of AI solutions that deliver significant organisational value. This role is pivotal in ensuring the ethical and responsible … AI technologies within a complex governmental environment. The successful candidate will lead initiatives that operationalise AI and data products, fostering stakeholder relationships and building organisational capability in AI. Key Responsibilities: Design and develop AI solutions that align with organisational goals. Lead the operationalisation of AI/data products using appropriate ...

methods and industry-standard practicesAdvise cross-functional teams on technological matters within your domainApply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automationEnhance automation at scale to improve value and efficiencyLead architectural decisions and engineering practices across multiple teamsCollaborate with stakeholders to deliver impactful … stability at enterprise scaleExpertise in Python and/or PySparkKnowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … capabilities, and skillsExperience with data, AWS and AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with ...

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 ...

requirementsApply SQL expertise — including complex joins and aggregations — and leverage working knowledge of NoSQL databases to support diverse data access patternsApply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency … security expectationsUses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline design and documentation, validating outputs and handling data according to sensitivity and security requirementsRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and expanding applied experienceGood working knowledge of cloud-based data services ...

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 ...

world's most influential companies.As an AI Research Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will lead applied research that positions the team for capabilities we will need over the coming years. You will evaluate … recruiting and thought-leadership magnetChampions the firm's culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating ...

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 ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at the heart of this journey. Together , we are driving a customer-centric transformation that values … proactive and responsible approach toward risk management. The Data & AI Domain at Santander is responsible for setting the strategic direction for data, analytics, and artificial intelligence across the organisation. It ensures that data is managed as a trusted enterprise asset and that advanced technologies are applied responsibly, securely, and effectively ...

build alignment with senior stakeholders and maintain cohesive working partnershipsAbility to facilitate collaboration across multiple teams and manage competing prioritiesFamiliarity with artificial intelligence (AI) enabled product or software delivery, and implications for metadata usabilityPreferred qualifications, capabilities, and skillsHands-on experience in engineering or development within data management platformsIndustry-recognized certifications ...

drive awareness and use of new and leading-edge technologiesAdd to team culture of diversity, opportunity, inclusion, and respectDrive 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 … automated testing) and promoting reuse of effective patterns across the teamApply 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 automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced ...

user experience across both on premise and public cloud environments. You will not only be a software engineer, but also an innovator - leveraging AI tooling and continuous improvement practices to drive quality and efficiency. Your deep knowledge of software engineering, experience with DevOps and Site Reliability Engineering principles, and passion … including continuous integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with DevOps and Site Reliability Engineering principles Hands-on experience using enterprise-authorized AI-assisted software development tools within ...

solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersDrives 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 … automated 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.Leads communities of practice across Software Engineering to drive awareness ...

platforms, and reviews and mentors other engineersCreates durable, reusable software frameworks and patterns that are leveraged across teams and functionsDesigns and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environmentsEstablishes engineering standards for LLM-based applications … development methodologiesServes as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systemsAdvises cross-functional teams on technological matters within your domain of expertiseInfluences leaders and senior stakeholders across business, product, and technology teams on technical strategy ...

reviews and mentors other engineers Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions Designs and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments Establishes engineering standards for LLM-based … methodologies Serves as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems Advises cross-functional teams on technological matters within your domain of expertise Influences leaders and senior stakeholders across business, product, and technology teams ...

rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products … operational excellence.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and 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 creation ...

This is a senior leadership role combining enterprise IT, modern DevOps practice,andcloud transformation. As with all technology leadership roles,it’sessential to incorporateemerging AI capabilitiesinto the team’s work. You will define and deliver technology strategy, modernise infrastructure and platforms, mature DevOps practices, and embed AI as a core … critical part in transitioning IES away from traditional on-premises infrastructure,establishinga fully cloud-based,secureand scalable environment. You willsupportour ambition to become an AI-first organisationand will lead the effort to achieve that ambition within your own team What You’ll Do Define and deliver an integrated ...

rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products … excellence. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and 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 ...