76 to 100 of 194 Machine Learning Jobs in Glasgow

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 (Airflow, Temporal ...

qualifications, capabilities, and skills: Good understanding of operating systems such as Windows, Linux (Redhat/Ubuntu) Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

while meeting security measures Develop processing and analysis algorithms for the intended data complexity and volumes Collaborate with data scientists to build and deploy machine learning models Contribute to or set strategy, drive requirements, and recommend changes Plan resources, budgets, and policies Manage and maintain policies and processes ...

innovation and technical excellence. You will play a key role in shaping our technology roadmap and mentoring engineers as well as leveraging AI and machine learning to drive innovation and deliver smarter solutions. Together, we’ll build solutions that make a difference. Job Responsibilities: Lead the design, development ...

driven customer experiencesKnowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (cloud, artificial intelligence, machine learning, AI agents)Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplinesPractical cloud ...

customer experiences Knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (cloud, artificial intelligence, machine learning, AI agents) Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Practical ...

development, testing, and operational stability.Advanced knowledge of Java programming language.In-depth knowledge of software applications and technical processes in areas such as cloud, AI, machine learning, or mobile.Ability to tackle design and functionality problems independently with minimal oversight.Proficiency in application, data, and infrastructure architecture disciplines.Proficiency in cloud-native ...

organisation of similar scope and scale to SP Energy Networks, with previous Solutions Application Design experience Significant experience delivering AI, Data Analytics, Machine Learning, or Intelligent Automation solutions both internally and with external vendors Significant experience with Salesforce platform technologies including Agentforce, Einstein AI, Data Cloud, Service Cloud ...

architecture Exposure to relational database platforms and cloud data warehousing solutions Curiosity and foundational understanding of generative AI, large language models, and AI/ML solutions Skills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemas #J-18808-Ljbffr ...

application resiliency, and securityOverall knowledge of the Software Development Life CycleCuriosity and foundational understanding of Generative AI, large language models, and AI/ML solutionsHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability ...

Role Overview As a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle-from requirements clarification ...

Role OverviewAs a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design ...

Business Intelligence (BI) Experience 5-10 years Location United Kingdom - Glasgow, London Skills Apache Airflow, AWS, Data Lake/Lakehouse, Databricks Certified (Data Engineer, ML), DBT, Python, SQL We are seeking a highly skilled Сonsultant Data Engineer to be the driving force behind this massive architectural shift. You will ...

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 client ...

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 … MQProficiency in both SQL and NoSQL databasesExperience working with private and public cloud environmentsFamiliarity with Agile and Kanban methodologiesExposure to AI/ML concepts and their application within engineering workflowsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations ...

/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-authorized … both SQL and NoSQL databases Experience working with private and public cloud environments Familiarity with Agile and Kanban methodologies Exposure to AI/ML concepts and their application within engineering workflows ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

about delivering technology that makes a real difference, this is the role for you.As a Senior Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products … maintainabilityAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile)Ability to tackle design and functionality problems independently with little to no oversightPractical cloud native experience with a strong understanding of scalability ...

methodologies, including CI/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud‐native experience Proficient in working with SQL and NoSQL databases Preferred Qualifications, Capabilities, and Skills Experience designing ...

such as CI/CD, Application Resiliency, and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Preferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologiesExposure to cloud technologiesJ.P. Morgan is a global leader in financial ...

/CD, 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.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US J.P. Morgan is a global ...

/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to solve data‐oriented problems using technologies such as SQL, Relational DB, Spark, NoSQL, optimizing for performance Preferred Qualifications, Capabilities, and Skills ...

such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience of AI and full understanding of the SDLC process, and MongoDB Preferred qualifications, capabilities, and skills Familiarity with modern ...

such as CI/CD, Application Resiliency, and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)Ability to solve data-oriented problems using technologies such as SQL, Relational DB, Spark, NoSQL, optimizing for performancePreferred Qualifications, Capabilities ...

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 ...

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.) Hands‐on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...