126 to 150 of 194 Machine Learning Jobs in Glasgow

build architecture community and capability.Use architecture knowledge and skills to support business development, build external eminence and lead the planning and running of architecture learning and development initiatives.Communicate to CTO/CIOs and board stakeholders on next generation digital and innovative technology solutions. Drive large complex and innovative transformation … industry.Proficiency in software development lifecycle (SDLC) and demonstrates depth and breadth in at least 6 of these domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Machine Learning/AI, Platforms, Security, Integration,Business Architecture or equivalent.Demonstrated experience in large-scale transformation programmes in Banking and Capital Markets.Experience in providing ...

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 … career in which all of our members can belong, grow and thrive – through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving ...

lead, mentor, and drive innovation — and we have the 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 … 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 ...

/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 Practical cloud native experience Preferred qualifications, capabilities, and skills Proven ...

methodologies, including continuous integration and delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile)Ability to solve data-oriented problems using technologies such as SQL, relational databases, Spark, and NoSQLHands-on experience using enterprise-authorized ...

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 ...

cloud technologies and cloud-native development patterns Knowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobile Ability to work effectively within large, collaborative teams to achieve shared organizational goals Passion for building an innovative, inclusive engineering culture ...

Senior Data Architect to build and maintain data architecture pipelines, design scalable data warehouses and data lakes, and collaborate with data scientists to deploy ML models. You will shape data strategy, ensure compliance, and guide teams on multi-year initiatives. #J-18808-Ljbffr ...

fast feedback loops, and clear rollback mechanisms. Champion DevOps best practices across engineering teams - documentation, runbooks, and post-mortems. MLOps Support the operationalization of ML models - model versioning, experiment tracking, and deployment workflows. Work with data science teams to configure MLOps tooling such as Vertex AI, MLflow, Kubeflow, or similar ...

performing software delivery teams, including distributed or hybrid teams Experience working with or managing teams that include data engineers, data scientists, or AI and ML practitioners Comfort operating in a consultancy environment - managing competing client and internal demands, contributing to business development, and representing Scott Logic professionally What ...

mindedness and willingness to learn Ability to work collaboratively in large teams Proficiency in software applications and technical processes within technical disciplines (cloud, AI, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, and Skills UI development experience in React JS Why Join Us? Be part of a global team ...

cloud technologies and cloud-native development patterns Knowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobile Ability to work effectively within large, collaborative teams to achieve shared organizational goals Passion for building an innovative, inclusive engineering culture ...

effective risk mitigation strategies Demonstrated ability to provide deep technical insights related to software, hardware, infrastructure, and emerging technologies such as artificial intelligence and machine learning Skilled at influencing executive-level strategic decision-making and translating complex technology insights into actionable business strategies for senior leadership Strong data ...

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 ...

ability to clearly articulate plans, priorities, and progress to a range of audiencesSome other highly valued skills may include:Understanding or exposure to coding, Machine Learning, or AI concepts, supporting effective collaboration with technical teamsAwareness of commercial considerations, with an understanding of how product decisions contribute to business ...

leading technology products in a secure, scalable way. You will work on cloud-native data, backend engineering and AIML engineering, helping industrialize AI/ML models at production scale in a hands-on role. This position requires strong experience in system design, microservices, and collaboration with data scientists, with opportunities ...

maintain contract templates, playbooks and negotiation principles. Product, Data & Privacy Partner with Product and Engineering on new product features, data usage, AI/ML initiatives, and regulatory considerations. Advise on data protection, cybersecurity, and cross‐border data transfer issues (GDPR and other global regimes). Support privacy compliance frameworks, DPIAs ...

Chemify in Glasgow is seeking a Senior/Staff Machine Learning Scientist to work across generative chemistry, planning, vision … agentic workflows on a platform that links design to physical experiments. You will partner with chemists, software and hardware engineers, applying AI/ML to build the next generation of Chemify's platform and help shape its technical direction at scale. #J-18808-Ljbffr ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile Hands‐on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

seeking a Senior Data Scientist to transform complex data into actionable insights that drive strategic growth and innovation. You will leverage AI and ML to convert raw data into strategic intelligence that informs business decisions and competitive advantage. The role involves collaborating with stakeholders across Barclays, developing scalable data pipelines ...

JPMorgan Chase & Co. is seeking an Applied AI/ML Lead Engineer in Glasgow to design, build, and productionize Generative AI and Agentic AI solutions. You will deliver GenAI apps using LLMs, RAG, and tool-using agents on AWS and cloud-native platforms. The role emphasizes modern AI engineering workflows ...