76 to 100 of 232 AI Jobs in Lanarkshire

work directly influences the stability of services relied upon by millions.As a Lead Software Engineer - Site Reliability Engineer, Operations Excellence at JPMorganChase within the AI/ML & Data Platforms area, you will serve as a technical leader at the intersection of software engineering and reliability engineering — owning the incident management … including operations reviews, incident review boards, and reliability councils to drive accountability, share learnings, and align stakeholders on priorities.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 ...

world's most influential companies.As a Lead DevOps/SRE Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will own the automation, reliability, and production operations of our agentic AI and machine learning products. As the team … across international markets.This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech.Job responsibilitiesOwns and evolves the team's CI/CD pipelines, release automation, and deployment toolingEstablishes reliability practices (SLOs, error budgets, runbooks) and leads ...

enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration.Apply AI tools and techniques to improve Solution Architecture practices — including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation.Ensure full conformance with firm-wide … quality.Evangelize the benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums.Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling ...

insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As a Senior Manager - SRE at JPMorgan Chase … within the AIML Data Platforms and Chief Data and Analytics Team, you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake ...

generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Manager - SRE at JPMorgan … within the AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake ...

automate remediation of recurring issues to improve operational stability, acting as both Production Support and SRE function for data pipelines and platform services.Utilise AI tools to accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code).Required qualifications, capabilities, and skillsProven experience in data management, ETL/… financial data aggregation techniques.Experience with data orchestration tools (Airflow, Step Functions, etc.).Databricks or AWS certifications.Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning).Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats.J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

platformsMentor and review work of other engineers to promote best practicesCreate durable, reusable software frameworks and patterns leveraged across teamsDesign and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controlsEstablish engineering standards for LLM-based applications, ensuring safety and reproducibilityDrive adoption of advanced technical methods … continuous improvementRequired qualifications, capabilities, and skillsPractical experience delivering system design, application development, testing, and operational stability at enterprise scaleExperience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environmentsProficiency in one or more programming languages, particularly Python and/or PySparkAdvanced knowledge ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

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 … enterprise scaleExpertise in Python and/or PySparkAdvanced knowledge 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, Temporal ...

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 … scale Expertise in Python and/or PySpark Advanced 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 ...

solutions that support regulatory obligations across multiple jurisdictions. You will help modernize our reporting ecosystem, improve operational efficiency, and drive the responsible adoption of AI and emerging technologies. Your contributions will directly impact the accuracy, scalability, and control of our regulatory reporting processes.Job Responsibilities:Design, develop, and maintain enterprise-grade … streaming technologies.Experience with observability, monitoring, and production support practices.Experience using AI-assisted software engineering tools to improve development productivity and software quality.Familiarity with artificial intelligence, large language models, intelligent automation, or agentic workflow concepts.Experience applying automation and AI technologies to operational processes, investigation workflows, or decision-support capabilities.Interest in shaping ...

technology capabilities for our customers and colleagues.To be successful as a Forward Deployment Engineer, you should have experience with:Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices.Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications.Experience with ...

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 ...

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 ...

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 ...

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 … knowledge of the Atlassian ecosystemDemonstrable expertise in Atlassian RovoExperience designing, delivering and demonstrating Atlassian-based solutions to senior business and technology stakeholdersStrong 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 ...

recurring issues, improving platform stability and efficiencyDevelop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasetsDesign and build AI-enabled applications, including AI Agents and agentic workflowsWork across hybrid data ecosystems (AWS, Databricks, Kubernetes)Ensure code quality through unit testing, integration testing, and continuous … Infrastructure as CodeExpertise in API design (REST, GraphQL) and integration patternsHands-on experience building applications on AWS or other public cloud platformsExperience with Generative AI systems, including: RAG (Retrieval-Augmented Generation) architectureAI orchestration frameworks (LangChain, LlamaIndex, etc.)LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)Preferred Qualifications, Capabilities ...

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 ...

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 ...

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 ...

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 ...

offer an exciting opportunity to contribute to impactful transformation projects while developing deep Capital Markets expertise. You will also be encouraged to leverage approved AI tools, automation, and AI-enabled workflows to enhance analysis, delivery quality, and productivity, while applying appropriate human judgement and governance in regulated environments.What … DoLead workshops and gather requirements to inform functional specifications and user stories, using appropriate AI-enabled tools and techniques where they improve efficiency, traceability, or insight.Map and analyse business processes and customer journeys to identify opportunities for optimisation,including through automation and AI-enabled process improvements where appropriate.Deliver change initiatives ...

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 ...