26 to 41 of 41 Data Science Jobs in Glasgow

graduates and students who help us see things differently and solve the most complex challenges facing our clients, climate and communities. The Opportunity Property, Science and Industry is a multidisciplinary group working on a range of building projects across healthcare, science & industry, commercial, education and arts & culture sectors. … group has a digital buildings cluster focusing on smart buildings and advisory services for smart and data enablement for buildings, with a growing number of software development and Internet of Things (IoT) projects and products. The team works closely with other teams across Arup ...

seeking a Data Science/ML Engineer to help build and deploy machine learning solutions for transaction monitoring in Business Banking. You will work with large-scale data, implement models, and collaborate with analytics colleagues to turn insights into actionable production workflows. Candidates should be strong … Python, ML techniques, and data visualization, with experience in PySpark and SQL. Location is Glasgow (Edinburgh considered) and the role is onsite 2-3 days per week for a #J-18808-Ljbffr ...

Jazwares is seeking a Data Architect to design, build, and manage a scalable data warehouse architecture that supports BI, analytics, data apps, AI, and data science. You will shape the data strategy, collaborating across departments to create a robust data ecosystem. The ideal candidate … brings deep expertise in data warehousing, modeling, ETL/ELT, and cloud platforms, and will partner with teams to enable reliable, high-quality data for decision making and future AI initiatives. #J-18808-Ljbffr ...

initiatives. You will implement and optimize SageMaker, Databricks, and MLflow, driving reproducibility, security, and scalable AI solutions across teams. Strong emphasis on collaboration with data scientists and infra engineers. The role requires hands-on Python development, mentoring, and a focus on operational excellence in model deployment and monitoring within ...

drive AI initiatives across Corporate Functions. You will lead end-to-end AI products, collaborate with technology and business partners, source and integrate diverse data sources, and deploy solutions to public cloud for large-scale impact. You will apply advanced research, engineering, and data science to develop ...

business and technology capabilities, focusing on scalable, secure ML deployments. You will lead MLOps with Python, SageMaker, Databricks, MLflow, kubernetes, and collaborate with data scientists, infra teams; ensure governance and risk management. The role emphasizes hands-on delivery and mentorship, contributing to a culture of technical excellence. #J ...

JPMorgan Chase & Co. in the United Kingdom seeks a Lead Data Scientist and Generative Lead to design, build, and operate production-grade ML and GenAI services, while setting scalable technical direction across multiple workstreams. You will mentor engineers, establish delivery standards for security and reliability, and stay close ...

Agentic AI initiatives across client engagements in Glasgow and UK offices. You will design, develop and deploy full-stack AI-enabled solutions, collaborating with data scientists, architects, and business teams to scale AI products into production. You will work on end-to-end AI projects, from PoCs to MVPs ...

solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases. Design, develop, and deploy state-of-the-art AI/… implement cutting-edge techniques, and leverage external APIs for enhanced functionality. Required qualifications, capabilities, and skills Bachelor's or Master's degree in Computer Science, Engineering, or a related field demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine ...

take your software engineering career to the next level. You’ll join a collaborative team where your ideas and skills help shape intelligent, data-driven products that power business innovation. As part of a diverse and inclusive environment, you’ll work alongside talented engineers and data scientists, deepening … advancing technology, you’ll find strong support and growth opportunities here. Job Summary As a Software Engineer III in Corporate Technology’s AI, ML & Data Platforms team, you will design and deliver secure, stable, and scalable technology solutions that support the firm’s data and artificial intelligence objectives. ...

organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Director Expectations Provide expert advice … reproducibility, lineage tracking, drift detection, and rollback strategies. Hands-On Delivery: Write production-grade Python code for automation, orchestration, and monitoring. Collaboration: Partner with data scientists, quants, and infra teams to align MLOps capabilities with business needs. Mentorship: Coach engineers on best practices for ML lifecycle management and secure ...

Chase & Co. in Glasgow is seeking a Software Engineer III to design and deliver secure, scalable technology solutions within Corporate Technology’s AI, ML & Data Platforms team. You will work in an agile environment with data scientists and engineers to advance data-driven products. You will contribute ...

deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases. Develop secure, testable services and libraries that integrate LLMs, tool … agentic patterns, including tool use, orchestration, guardrails, and structured outputs. Hands-on experience building and operating MCP integrationsreliably in production. Hands-on experience on data-driven software/systems engineeringexperience delivering production services in secure, regulated environments. Expertise in Python engineeringskills, including production-grade design, testing, debugging, and performance ...

even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided … anywhere, through our 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 ...

deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.## **YOUR ROLE**As the digital innovation, design and transformation brand … their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.Business Technology ...

Barclays invites applications for a Lead Data Engineer based in Glasgow. You will design and develop real-time data streaming solutions using Kafka Streams and Apache Flink, building scalable, low-latency data platforms to support critical business processes. You will influence architecture, standards, and collaboration with data scientists for model deployment. The role emphasizes technical direction, development work, and partnerships with stakeholders to deliver robust data infrastructure in #J-18808-Ljbffr ...