9 of 9 Data Ingestion Jobs in Glasgow

We support Asia’s growing energy needs while advancing the shift to a lower-carbon future. Purpose and Scope We are seeking a highly skilled and self-driven Azure Data Engineer with expertise in PySpark, Python, and modern Azure data services including Synapse Analytics and Azure Data Explorer. The ideal candidate will design, develop, and maintain scalable … data pipelines and architectures, enabling effective data management, analytics, and governance. Key Roles and Responsibilities Design, develop, and maintain scalable and efficient data pipelines (both batch and real-time streaming) using modern data engineering tools Build and manage data lakes, data warehouses, and data marts using Azure Data Services Integrate data from various sources including APIs, structured/unstructured files, IoT devices, and real-time streams Develop and optimize ETL/ELT workflows using tools such as Azure Data Factory, Databricks, and Apache Spark Implement real-time data ingestion and processing using Azure Stream Analytics, Event Hubs, or Kafka Ensure data quality, availability, and security across More ❯

Social network you want to login/join with: Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be instrumental … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and workflows. More ❯

you will own flagship projects, lead enterprise transformation, and execute innovative solutions to address the complex challenges of our clients. You will be responsible for: Shaping and executing enterprise data transformation: Driving enterprise-level transformation projects, including designing data platforms, establishing robust governance frameworks, and embedding scalable AI and analytics solutions. Leading innovation in AI and analytics: Spearheading … the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries. Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing insights that bridge the gap between technical capabilities and business goals. Portfolio and account management: Overseeing diverse project portfolios, managing commercial outcomes, and fostering strong client relationships to … Leading multidisciplinary teams in agile and lean environments, ensuring timely delivery of impactful, high-quality solutions. Fostering capability building: Empowering teams through coaching, training, and mentoring to enhance organisational data and AI competencies. This role also provides opportunities to contribute to the broader business through: Business Development: Leading or contributing to proposals, bids, and RFP responses, as well as More ❯

capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Solid understanding of software applications and technical processes within a related technical discipline (. data ingestion, data storage, data serving, APIs, . Hands-on experience in data lake or data warehouse and related technologies (. Spark, ETL, Databricks). More ❯

Flexibility: Part-time, condensed hours, job-shares, and flexible arrangements considered Diversity & Inclusion: Extremely important—we encourage applicants from all backgrounds Who We Are Hypercube Consulting is an innovative data and AI consultancy dedicated to revolutionising the energy sector. We specialise in advanced Agentic AI workflows and Large Language Models (LLMs), empowering our clients to realise significant value from … Role Purpose We are looking for a Senior AI Engineer with experience in Agentic AI and LLM technologies to design and develop impactful AI solutions. You'll work alongside data engineers, data scientists, and cloud specialists, directly contributing to client success. In this role, you will: Engage with client challenges, developing practical and innovative Agentic AI and LLM … growing AI expertise. Key Responsibilities Technical Contribution Develop and deploy reliable AI and LLM solutions, collaborating with senior team members. Contribute to the implementation and maintenance of AI pipelines (data ingestion, model training, deployment, and monitoring). Work within multidisciplinary teams to deliver client-focused solutions. Effectively communicate AI concepts and methodologies to peers and clients. Stay up More ❯

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 a Data & AI Operating Model Consultant, you will play a key role in setting organisations up for the fourth industrial revolution, helping them to effectively leverage data and AI to … drive business outcomes: You will play a central role in the designing of effective data, analytics & AI operating models, covering all components required to deliver an effective data & AI capability. You will be work with our clients to define their strategic objectives, and then build a picture of the requisite data & analytical capabilities required to realise those … strategic objectives. You will provide guidance and advisory services to clients on a wide range of data & analytics capabilities at all points of the data & analytics value chain. You will work with stakeholders at all levels of the organisation to assess the maturity of existing data capabilities, identifying opportunities for re-use and corresponding gaps in capability. More ❯

Other EU work permit required: Yes Job Reference: b81240d71528 Job Views: 5 Posted: 25.06.2025 Expiry Date: 09.08.2025 Job Description: Job Purpose To contribute to the growing research in Geospatial Data Science at the College of Science and Engineering, working with Professor Ana Basiri and the Geospatial Data Science Group at the University of Glasgow. The successful candidate will … geospatial AI tools, deliver high-impact research, and contribute to team development through research outputs, proposals, supervision, and presentations. Main Duties and Responsibilities Develop innovative GeoAI solutions combining geospatial data with APIs like GPT, Codex, etc., for data tasks and AI-driven applications. Study and develop applications using Large Language Models through fine-tuning and integration. Apply techniques … such as prompt engineering, data ingestion, and transformation. Collaborate with the Geospatial Data Science team and external partners across industry, government, and third sectors. Enhance research profile through publications, societal impact, and research indicators. Present work at conferences, seminars, and workshops. Support FAIR principles by making data and code repositories accessible and reproducible. Pursue personal and More ❯

with applications. • Hands-on experience with UI modern technologies like ReactJS and/or AngularJS • Hands-on experience in database development with technologies such as Oracle, Cassandra. • Code efficient data ingestion orchestration using Spring Integration, Spring Batch to facilitate integration with upstream and downstream applications. • Solid understanding in Agile Methodology, CI/CD Pipelines and OKRs. • Expertise in More ❯

Social network you want to login/join with: Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in … inference of generative AI models. Design and implement advanced methodologies like LoRA, prefix-tuning, and adapter-based approaches for fine-tuning AI models. Develop robust, fault-tolerant systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing … production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and More ❯