17 of 17 Permanent Machine Learning Jobs in Glasgow

availability. Optimise data analytics platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools … data strategies, with a strong understanding of data governance, quality and compliance. Proven experience in designing scalable data architectures and integrating diverse data sources. Strong knowledge of advanced analytics, machine learning and BI tools. Excellent Leadership, communication and stakeholder management skills. Ability to thrive in a fast-paces, dynamic environment and drive change across multiple departments. What's More ❯

RNA-based control systems, to allow the precise control of cell and gene therapies in response to a diverse range of molecules. Key Responsibilities Develop and refine AI/ML methods for RNA-based control system development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to support various company projects. Working … teamwork and a focus on achieving shared goals with a commitment to high-quality outcomes. Skills Essential Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences … analytical skills with a methodical approach to problem-solving. Desirable Familiarity with handling and analysing Next-Generation Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience) in data science/AI More ❯

Environment (TRE) at the University of Glasgow, and in partnership with NHS Greater Glasgow and Clyde. The postholder will ensure the TRE is aligned with governance and AI/ML workflows, to achieve key milestones across academic, clinical, and industry-facing projects. The role requires a high level of cross-sector coordination, stakeholder engagement, financial oversight, and support and commitment … for a research-driven, AI/ML-enabled infrastructure with national relevance. Main Duties and Responsibilities 1. To lead on the planning, coordination, and execution of all phases of TRE implementation, ensuring on-time and on-budget delivery of infrastructure setup, AI workflow deployment, and governance milestones. 2. Facilitate alignment and collaboration between NHS Safe Haven, MVLS researchers, University IT … and Services teams to manage the transition from existing TRE provider (Robertson Centre for Biostatistics) to long-term operational sustainability. 3. Support the delivery of key demonstrator AI/ML projects (digital pathology, imaging, NLP) that will shape the TRE's foundational workflows for integration into national health research infrastructure. 4. To play a key role to ensure all TRE More ❯

JPMorgan Chase focusing on Java, Microservices, and AWS development with competitive compensation and comprehensive benefits. Lead Software Engineer position at JPMorgan Chase's CDAO team, focusing on AI/ML platforms and cloud technologies with competitive compensation and comprehensive benefits. Lead Software Engineer position at JPMorgan Chase focusing on Java/Python development with cloud technologies, requiring 5+ years of More ❯

contact you directly if a relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the … crowd, is our vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing … to contribute to the development of next-generation audio software and make a significant impact in the industry. Key Responsibilities: Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate and benchmark the performance More ❯

shape our future. What are the day-to-day tasks? 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, CI/CD, infrastructure-as-code More ❯

and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate Sector, AI/ML & Data Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You … understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies Experience with large-scale database technology (e.g. Snowflake) Experience with More ❯

understanding of agile methodologies such as CI/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 Managerial experience is advantageous More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

innovative digital solutions that enhance engineering outcomes. You will assess project needs, identify opportunities for digital integration and guide the implementation of advanced tools and technologies-including AI/ML, digital twins and Common Data Environments (CDEs). The role requires both deep technical knowledge and a strategic mindset to ensure solutions deliver measurable business value. This position is based … schedules and budgets to align with KBR's delivery standards. Stay current on industry trends in digital engineering, AI and agile methodologies. Promote a culture of digital excellence, continuous learning and innovation. Qualifications: Bachelor's degree in Engineering, IT, Technology, or a related field. Extensive experience in digital project delivery, with a strong understanding of engineering workflows. Proven track … forefront of KBR's digital transformation, helping shape the future of project execution across industries. We are committed to fostering a culture of customer obsession, inclusion, agility and continuous learning . More ❯

change community. About You Consultancy skills: business acumen and outcomes focused mindset Critical thinking and analytical skills Solid understanding of AI including emerging/best practices in Generative AI, Machine Learning Operations and LLM Ops Experience in strategy development and execution and/or transformational leadership involving data, AI or digital (including operating model design) with proven impact More ❯

procedures of trusted research environments. A7 Familiarity with the FAIR (Findable, Accessible, Interoperable, Reusable) data principles to enhance data usability and sharing. Desirable: B1 Knowledge of large language models, machine learning and AI within the context of health research. B2 Knowledge of data management requirements for delivering spatial biology enterprise solutions and workflows. Skills Essential : C1 Excellent technical More ❯

business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including internal databases, external datasets, and real … to ensure data quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real-time and identify any potential issues or More ❯

in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. A platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

RMSI is a technology solutions company that enables clients to achieve their digital transformation and automation goals by integrating advanced technologies such as AI, machine learning, and computer vision with geospatial and engineering solutions. We serve clients in sectors, including utilities, communications, navigation and location-based services, natural resources, land and infrastructure, as well as government and funding More ❯

from beginner level all the way 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 2 - CompTIA Data+ CompTIA Data+ More ❯

domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across More ❯