176 to 200 of 232 AI Jobs in Lanarkshire

time visibility.If you are analytical, self-directed and energised by building things from scratch and you have an interest in how modern tooling and AI can make programme delivery smarter, this role is for you.What You'll Do: Maintain programme schedules across the portfolio, including baseline management, critical path analysis … engineering, finance and programme teams and communicate clearly with technical and non-technical stakeholders alikeGenuine curiosity about how project management platforms, data tools and AI can make delivery smarter, with a willingness to learn and experimentPreferred Skills: Exposure to AI tools and/or data platforms such as Databricks ...

software engineers on daily tasks and activitiesSets the overall guidance and expectations for team output, practices, and collaborationLeads 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 of inputs …/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 and applications ...

solve issues quickly to avoid financial losses Documents and shares knowledge within your organization via internal forums and communities of practice Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity … security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering ...

impactApply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the teamDrive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controlsUse enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirementsRequired qualifications, capabilities, and skillsFormal training or certification on site reliability engineering concepts ...

deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controls Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements Required qualifications, capabilities, and skills Formal training or certification on site ...

innovate, this is your chance to thrive.Job Summary:As a Lead Software Engineer in Prime Finance Services, you will architect and deliver cutting-edge, AI-driven workflows and solutions that add value to our business. You’ll work as part of a global team, enhancing and building trusted technology products … culture of creativity and inclusion while tackling large-scale engineering challenges.Job Responsibilities:Execute creative software solutions, design, development, and technical troubleshootingLead with an AI-driven approach in daily tasksSpearhead the design and development of real-time, mission-critical trading platforms using JavaTackle large-scale engineering challenges with technologies like KafkaInnovate ...

will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.Join us as an AI Product Manager at Barclays where you'll be primarily responsible for planning, delivering, and managing AI-driven products or features, with a great focus … roadmaps, prioritisation, and execution. You will translate business needs into product requirements, leveraging your understanding of AI fundamentals, data analytics, and market insights to support product development. Working closely with stakeholders, you’ll coordinate delivery using tools like Jira while building robust relationships and ensuring clear communication. You’ll play ...

minimal supervision.The successful candidate will contribute to the continuous improvement of quality engineering practices, test automation capabilities, and the adoption of innovative technologies, including AI-assisted testing approaches.Role accountabilities:· Collaborate with project teams and stakeholders to understand requirements, identify risks and define appropriate test approaches.· Produce test estimates and contribute … automated test suites and supporting frameworks using Playwright and TypeScript.· Identify opportunities to improve quality, efficiency and coverage through automation, tooling, process improvements and AI-assisted solutions.Qualifications & Experience:· Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.· 5+ years of experience in software quality assurance.· Strong communication ...

have experience with geospatial applications such as ArcGIS Pro, QGIS, ArcGIS Online or ArcGIS Enterprise.You can apply spatial analysis, modelling or AI-enabled workflows, including machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks … reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs into robust spatial, analytical and AI-enabled workflows.You have a relevant degree, such as GIS, Remote Sensing/Earth Observation, Geography, Geoinformatics, Computer Science, Data Science or Environmental Science, or equivalent industry ...

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 that … agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated 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 systemsPractical cloud native experienceFamiliarity with modern front-end technologiesDemonstrated ...

participate in events exploring new and emerging technologiesFoster a team culture of diversity, equity, inclusion, and respect through active collaboration and engagementLeverages 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 … user interface frameworksExposure to cloud technologies and cloud-native development patternsKnowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobileAbility to work effectively within large, collaborative teams to achieve shared organizational goalsPassion for building an innovative, inclusive engineering cultureJ.P. Morgan ...

Role AI Application consultant – Scottish Power Summary • Hybrid Role • Competitive rate umbrella or PAYE • Initial 12-month contract • Glasgow based The post holder is accountable for delivering rapid, practical AI solutions aligned to business needs, working closely with stakeholders and delivery partners to ensure solutions are implemented effectively and deliver … measurable value Expectations • Propose, plan, coordinate and deliver AI applications with full ownership of scope, timeline, cost and quality • Deliver rapid AI solutions from problem definition through to operational deployment • Design, develop and deploy practical AI solutions focused on real business challenges • Support knowledge sharing and capability building • Engage directly ...

teamFoster a culture of diversity, equity, inclusion, and respect, creating an environment where every team member can thriveDrives 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 … automated testing) and promoting reuse of effective patterns across the teamApplies 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 Skills:Formal training or certification on software engineering concepts ...

solutions or breakdown technical problemsDevelops secure and 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.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational ...

lifecycle through strong engineering practices and code standardsContribute to technical direction by setting and modeling high standards for design, development, and testingLeverages 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 standardsApplies 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 automations Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts ...

usable, accessible, and scalableContribute to shared standards, reusable templates, and common components that improve consistency and accelerate delivery across the teamLeverages 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 standardsApplies 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 proficient applied ...

commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said ...

commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said ...

Remote | UK (London commute as required by client) | Full-TimeAbout the RoleOur client is a fast-growing Microsoft Partner operating at the forefront of AI enablement and intelligent business transformation. They work with enterprise clients across the UK to deploy practical AI solutions, build internal capability, and drive measurable business … outcomes across the full Microsoft AI stack. As they continue to scale their delivery function, they are looking for a Senior Power Platform Consultant to take a lead role in shaping and delivering AI-enabled solutions for clients across a range of sectors, including financial services.This is a client-facing ...

Remote | UK (London commute as required by client) | Full-TimeAbout the RoleOur client is a fast-growing Microsoft Partner operating at the forefront of AI enablement and intelligent business transformation. They work with enterprise clients across the UK to deploy practical AI solutions, build internal capability, and drive measurable business … outcomes across the full Microsoft AI stack. As they continue to scale their delivery function, they are looking for a Lead Power Platform Consultant to own the technical direction of their Power Platform practice and act as the senior authority across delivery, architecture and client strategy, including within financial services ...

with industry trends in code intelligence and compliance automationPreferred qualifications, skills, and capabilities:Demonstrate proficiency in Java or Python and apply strong knowledge of AI concepts and experience in program analysis or structural code representationsBuild and deliver moderately complex features independentlyDevelop and maintain backend services and data pipelines and write ...

remediate security vulnerabilities; support audit remediation effortsOperate with a dry-run-first, confirm-before-modify, audit-everything approach on production systemsDesign and maintain AI developer tooling, including prompt engineering and LLM-assisted code generationRequired qualifications, skills, and capabilitiesProficiency in Python, including type annotations, context managers, generators, and functional programming patternsKnowledge … maintain multi-stage data processing pipelines (graph-based, batch, or streaming)Understanding of security best practices, including input validation and vulnerability remediationExperience with agentic AI and prompt engineering, including LLM-based developer agents and workflow orchestrationPreferred QualificationsBackground in financial services, derivatives pricing, market data, or valuation conceptsExperience with distributed compute ...

insights to improve coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverages 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 … including continuous integration and delivery, application resiliency, and security practicesDemonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobileHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

governance between Weir, Deloitte, SAP, hyperscaler and other technology partners.Help ensure the S4+ solution is designed and delivered for scalability, resilience, supportability and future AI/automation readiness. The Board Paper identifies scalable cloud infrastructure, AI readiness, harmonised data and real-time analytics as key elements of the S4+ scope ...

recruiting for a Chief Data Officer to lead our data driven initiatives. This is a business leadership role focused on leveraging data, AI and wider innovation to drive operational and business value to Police Scotland, foster a data-driven culture, and ensure the effective governance and utilisation of data across … organisations strategic objectives and policing strategies Provide strategic leadership and governance for the ethical, lawful and transparent use of advanced analytics, automation and artificial intelligence, ensuring appropriate safeguards, bias mitigation and human oversight are embedded Provide leadership and direction in transforming the way we use data to support evidence-based ...