126 to 150 of 370 Machine Learning Jobs in Scotland

/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, etc.) In-depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI-enabled development patterns ...

agile methodologies -CI/CD, Application Resiliency, Security, and capacity planning Demonstrated expertise in a technical discipline (e.g., cloud architecture, artificial intelligence/machine learning, mobile, distributed systems, security, DevOps/platform engineering) In-depth knowledge of financial services industry and their IT systems, regulatory constraints, and operational ...

agile methodologies, including CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.)Practical cloud-native experienceProficient in working with SQL and NoSQL databasesPreferred Qualifications, Capabilities, and Skills:Experience designing and delivering scalable ...

passion for working across teams.Preferred SkillsPrior experience in a people management or tech lead role within a data engineering or analytics teamFamiliarity with machine learning workflows, data observability, and streaming architecturesExperience working in a product-driven, customer-focused organizationUnderstanding of data privacy, security, and compliance frameworksABOUT FANDUELFanDuel Group ...

business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve ...

experience in designing and governing enterprise-scale data platforms within regulated environments. The role ensures data is accessible, trusted, secure, and optimized for analytics, machine learning, and AI-driven solutions. Ideal candidates will either already have transitioned to or be ready to transition from a hands-on delivery ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also ...

resiliency, and security Overall knowledge of the Software Development Life Cycle Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions Hands‐on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ...

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 J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

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 ...

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, Temporal)Advanced ...

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 ...

looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow … Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‐premise platforms. Experience building automation and engineering tooling using Python, Go, or similar ...

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 ...

technical stakeholders Desirable Experience with: Vulnerability research/exploit development Manual penetration testing Cloud, web, embedded or mobile security Splunk/OSQuery AI/ML security Distributed systems AWS Security Specialty, OSCP, CISSP, CCSP, CCAK or SANS/GIAC certifications Why consider it? You'll join a global technology organisation ...

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 ...

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 ...