18 of 18 Machine Learning Jobs in Glasgow

more relevant, and more responsive to their needs. At the heart of this transformation is the Recommendations team. We design and build large scale ML/AI systems that help audiences discover the right content at the right moment. Our work already powers experiences across the BBC, including personalised recommendations … systems used by millions of people each day. You’ll be a hands on contributor – prototyping, experimenting, and guiding the technical approach for complex ML solutions at true BBC scale. Working in a cross-functional team, you’ll partner closely with engineers, product managers, and data scientists to deliver high ...

front-end web applications for Cairn Discover, analyse, and present findings to users and stakeholders Build, maintain, and support our wider data platform, machine learning and AI solutions using the latest best practices in DevOps and CI/CD Produce high-quality communications, documentation, and presentations of solutions ...

system design, application development, testing and operational stability. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, AI, ML, Mobile etc) Differentiators/Preferred Familiarity with modern front end technologies including React Formal training or certification on software engineering concepts and applied experience Exposure ...

REST APIs You have a good working knowledge of SaaS products with Amazon Web Services (AWS) You are familiar with big data and analytics, machine learning, computer vision and AI algorithms You're a collaborative problem solver You are educated in Computer Science to BSc/MSc Experience ...

system design, application development, testing and operational stability. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, AI, ML, Mobile etc) Differentiators/Preferred Familiarity with modern front end technologies including React Formal training or certification on software engineering concepts and applied experience Exposure ...

/ELT pipelines using modern tooling Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions Support AI/ML inference pipelines and data workflows Produce clear documentation covering data flows, schemas, and integration patterns Monitor and optimise data performance, resolving issues as needed Required ...

What you’ll be doing Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead the design and deployment of conditional access, Defender for Cloud, Purview DLP, Azure Firewall, and related services. Integrate security into DevOps pipelines ...

manufacturing operations. PRIMARY DUTIES & RESPONSIBILITIES. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System … Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated ...

security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Director Expectations Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant ...

best practices. Work across organisational boundaries and influence without authority when needed. Keep abreast of modern engineering trends, especially in AI/ML infrastructure and cloud-native tooling. Key Requirements 6-12 years of experience in software/data engineering; ideally in platform or infra roles. Strong understanding of Generative ...

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 ...

international trading. Demonstrated experience leveraging AI-driven tools to optimise customer journeys – e.g. personalisation engines, predictive analytics, or dynamic pricing algorithms. Ability to interpret machine learning insights from recommendation systems, search optimisation models, and customer segmentation tools to inform merchandising and content strategies. Working for Trespass You will ...

aligned with business goals and evolving industry trends. Shape the long‐term software engineering strategy, enabling the adoption of innovative technologies (e.g., AI/ML, edge computing, GenAI) while empowering the team to execute detailed technical architecture. Foster a culture of technical excellence, ensuring high standards in secure, reliable … grow a globally distributed, high‐performing engineering team. Oversee recruitment, mentoring, and professional development across key engineering disciplines (e.g., platform engineering, data engineering, ML engineering). Foster an inclusive, collaborative, and innovative culture that supports team growth and development. Support the inclusion of new teams into the organisation. Partner closely ...

media organization in the UK is seeking a Principal Data Scientist to enhance its discoverability and recommendations systems. The role involves substantial contributions to machine learning solutions impacting millions. Candidates should possess strong skills in Python and a proven track record in data science, especially in developing recommender ...

will: Engage clients to understand their challenges and help design Agentic AI and LLM-driven solutions. Build and implement robust AI systems, including ML/LLM pipelines and agentic workflows. Contribute to best practices in LLMOps, AI lifecycle management, and cloud-native AI infrastructure. Share knowledge and support team development … direction. End-to-End AI Delivery: Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Contribute across AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Collaboration ...

currently and expect this to continue moving forward. Their team is made up of some of the best and brightest in engineering, science and machine learning and their culture facilitates a collaborative workplace, blending these skills to develop their technology. The Role As the organisation's talent acquisition ...

engineering reusable cloud infrastructure, automating platform provisioning, embedding governance and controls, and enabling high-quality, production-ready GCP services for enterprise AI/ML workloads. Key Responsibilities Design, build, and automate GCP infrastructure using Terraform and Python. Provision and manage cloud environments required for the program, including Production. Develop reusable … templates, and engineering patterns for scalable GCP adoption. Implement cloud services and platform capabilities required to enable Vertex AI APIs and enterprise AI/ML workloads. Build automation for provisioning, configuration validation, compliance checks, operational workflows, and platform integrations. Collaborate with architecture, security, network, IAM, and platform teams to deliver ...

.NET Developer - Fastest Growing Social Media Firm – Glasgow (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...