126 to 150 of 232 AI Jobs in Lanarkshire

breakdown technical problems 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 ...

frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellenceMastery of application, data, infrastructure, and Agentic AI disciplinesKeen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams to achieve … common goalsUses 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.Provide support to develop & improve the quality of technical engineering documentationProvide technical supervision, oversight and problem resolution for engineering ...

frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellence Mastery of application, data, infrastructure, and Agentic AI disciplines Keen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams … achieve common goals 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 and security requirements. Provide support to develop & improve the quality of technical engineering documentation Provide technical supervision, oversight ...

through advanced analytics, and artificial intelligence. Atlassian is a global leader in these tools, linking real data on teams’ work to practical, in-context AI solutions. Our practice works with clients across all industries to assess, design, implement, optimise and operate world-class Atlassian-based work management systems, helping them … successful in this role:Strong knowledge of the Atlassian ecosystemDemonstrable expertise in Atlassian RovoExperience designing, delivering and demonstrating Atlassian-based solutionsStrong understanding of Artificial Intelligence concepts, trends and enterprise adoption considerationsExperience translating technical requirements into tangible roadmaps and plans Strong understanding of Software Development Lifecycle (SDLC), Agile delivery methodologies ...

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 ...

Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help ...

this alliance, establishing a dedicated, end-to-end Google Growth Platform business. This strategic initiative incorporates market-leading Google Cloud technologies, including advanced AI capabilities like Gemini Enterprise, to power industry and sector transformation for our clients. Join a team that is not only recognised for its leadership … collaborative team environment and supporting the development of those around you.Drive the adoption of Google Cloud services, including Compute Engine, GKE, BigQuery, Vertex AI, and Gemini Enterprise, recommending the right solutions for the right problems and articulating their business value clearly to client audiences.Contribute to technical pre-sales activity, including ...

this alliance, establishing a dedicated, end-to-end Google Growth Platform business. This strategic initiative incorporates market-leading Google Cloud technologies, including advanced AI capabilities like Gemini Enterprise, to power industry and sector transformation for our clients. Join a team that is not only recognised for its leadership … limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.Demonstrable experience with AI/ML services on Google Cloud, with an excellent understanding of how platforms like Gemini Enterprise can drive business value.Substantial understanding of cloud security best ...

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 to translate ...

Deloitte Global Brand guidelines.Bring an inside view of where tech is heading: Maintain a strong network and deep technical fluency inside the tech and AI ecosystem to translate market trends in AI, platforms, and emerging technologies into clear, defensible points of view. Design repeatable launch programs: Build repeatable launch playbooks … asset frameworks, and enablement tools for new platforms, AI capabilities, signature programs, and transformation offerings. Help the organization move the firm from one-off launch campaigns to a repeatable process with measurable adoption across geographies.Build the process and infrastructure needed for credibility: Turn platform deployments, transformation outcomes, and engagement patterns ...

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 … 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)In-depth knowledge of the financial services industry and their IT systemsPractical cloud-native experienceHands-on experience using enterprise-authorized AI ...

leading-edge technologies Add to team culture of diversity, opportunity, inclusion, and respect 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, 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) In-depth knowledge of the financial services industry and their IT systems Practical cloud-native experience Hands-on experience using enterprise ...

inspiring Deloitte clients and prospective clients on the business issues that matter most to their strategic agendas. From leadership and workforce evolution, to AI and emerging technologies, to energy resilience and decarbonization, and beyond, Deloitte Insights (DI) publishes data-driven thought leadership for global C-suite and board-level executives … across industries.As a global senior editor and content strategist covering technology and AI for Deloitte Insights, you’ll work with AI and tech subject matter specialists, researchers, data science and visualization professionals, designers, video strategists, and production specialists to develop research and insights projects ranging from reports and articles ...

routine approaches to 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 … automated 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 operational ...

published03-Sep-2026Req #24948Job descriptionConnect to your IndustryJoin our high-growth SAP+ Design & Innovation team at the forefront of how organisations harness cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration … team, you'll shape solutions that reach well beyond the SAP ecosystem, positioning you at the centre of the firm's broader AI innovation agenda. If you are an experienced technology leader with deep hands-on expertise in AI engineering - someone who enjoys building high-performing teams, shaping client relationships ...

agile methodologies such as CI/CD, application resiliency, and securityKnowledge 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 MongoDBFamiliarity with reliability engineering concepts, including monitoring, alerting, and automated ...

conventional approaches to 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 … automated 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 enhance operational stability.Lead ...

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 ...

Title: Transformation Data & AI ArchitectDivision: IS&TLocation:UK/IndiaOnsite/Hybrid/Remote/ShiftPurpose 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 and 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 for defining, governing ...

best practices for the development of secure, stable code and systemsContribute to a team culture of diversity, opportunity, inclusion, and respectLeverages 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 … continuous integration/continuous delivery, application resiliency, and security practicesEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, 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 ...

standardising operating cadence (RAID, action/decision logs, dependency tracking), improving transparency, and mentoring other project/program managers where applicable. Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs … handling data according to sensitivity requirements.Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.Required Qualifications, Capabilities, and Skills Applied experience in technical program/project management, leading complex technology projects and programmes in a large organisation. Proactive, self-accountable, works ...

analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI … escalating when uncertain and following data handling expectations. Preferred qualifications, capabilities, and skills Experience with dashboarding/analytics tools (e.g., Tableau, Alteryx or AI prompt based systems) to support program reporting, metrics, and executive insights. Prior experience working in or working closely with a governance, risk, controls, audit, or regulatory ...

this alliance, establishing a dedicated, end-to-end Google Growth Platform business. This strategic initiative incorporates market-leading Google Cloud technologies, including advanced AI capabilities like Gemini Enterprise, to power industry and sector transformation for our clients. Join a team that is not only recognised for its leadership … repeatable, version-controlled, and auditable provisioning practices.Familiarity with hybrid and multi-cloud architectures, including experience integrating on-premises environments with GCP.Working knowledge of AI and ML services on Google Cloud, with a clear understanding of how platforms such as Vertex AI and Gemini Enterprise can be positioned to drive measurable ...

estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygieneUses 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 to sensitivity … near-production environmentFamiliarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systemsWorking knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivityAbility to review and validate AI-assisted code ...

technical knowledge across complex platform domains.Knowledge of site reliability engineering (SRE) principles and practices.Relevant AWS certifications (e.g., AWS Certified Cloud Practitioner, AWS Certified AI Practitioner, AWS Certified DevOps Engineer – Professional, or AWS Certified Security – Specialty) are a plus.Hands on experience with infrastructure-as-code tooling, particularly Terraform, AWS CloudFormation … repeatable, version-controlled, and auditable provisioning practices.Familiarity with hybrid and multi-cloud architecture, including experience integrating on-premises environments with AWS.Working knowledge of AI and ML services on AWS, with a clear understanding of how platforms such as Amazon SageMaker, Amazon Bedrock, and Amazon Q Business can be positioned ...