9 of 9 Permanent Machine Learning Jobs in Glasgow

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 ❯

+ backend) that integrate cheminformatics algorithms with Chemify's platfo rm.Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applicatio ns.Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasti ng.Translate cheminformatics research outputs into production-ready software tools, integrating with internal pipelines and laboratory automation platfor ms.Implement and … cheminformatics toolkits (e. g., R DKit) and chemical reaction encoding (e.g., SMARTS/SMIR KS).Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environme nts.Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code rev iew.Hands-on experience deploying applications on cloud platforms … databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (Mong oDB).Familiarity with high-performance computing (HPC) environments and large-scale data pipel ines.Experience in deploying and scaling AI/ML-driven applications within production sys tems.Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary t eams.Passion for working at the intersection of chemistry and computation, with More ❯

shape the future of the 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 to streamline workflows and improve … EDUCATION & EXPERIENCE Bachelor’s or 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 project experience. Track record of More ❯

applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer in an enterprise setting Strong 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 ❯

markets in technology - and Streamba has the world's most advanced SaaS platform for managing it. We are deploying our cloud-native platform worldwide and enhancing our technology with machine learning and generative AI functionalities. Streamba is a very exciting place to be. We seek experienced Supply Chain experts, preferably from oil & gas or similar heavy industries, with More ❯

all accessible anytime, 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 you build confidence and a strong More ❯

Role: AI/ML Computational Science Manager Location: Glasgow Salary: Competitive salary and package dependent on experience Career Level: Manager (CL7) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we … remit to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team, you will: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The … latest technology solutions from industry and academia and how to apply them to solve real world customer problems As an AI/ML Computational Science Manager, you will: You will manage AI/ML Computational Science practice Oversee the development of use-case and platform technology solutions to tackle critical business challenges, using both reference and emerging technologies, engineering patterns More ❯

to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The More ❯