17 of 17 DemandTrendPermanent Machine Learning Jobs in Glasgow

AI or Artificial Intelligence, Software Development Job Id 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 ❯

innovation across STEM sectors, helping them to Outpace tomorrow, together. What are the key expectations of this role? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with … business analysts, data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and … such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning More ❯

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 Familiarity with apache and tomcat-based applications. Exposure to cloud technologies and ansible Evolven More ❯

collaborate across different levels and stakeholder groups. General knowledge of financial services industry Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy More ❯

and spot opportunities to inform continual improvements Build strong relationships with stakeholders and be the business facing member of a highly technical team. Gather business requirements Develop AI/ML modelling using Python in DataBricks for forecasting, outlier analysis and Next Best Action Design and develop MI tools and reporting systems capable of capturing required data, outputting relevant MI and … SQL or Python, writing code which is clean and easily interpreted Outstanding visualisation skills (we use Tableau) Demonstrable ability to extract and transform data for use in modelling and machine learning Experience in customer focused insight is our ideal, with any exposure to call centre environments being a big plus. Any DataBricks experience is highly advantageous What’s More ❯

highly successful team. What you’ll do: Delve deep to draw out insights on colleague, customer and commercial behaviour and spot opportunities to inform continual improvements Develop AI/ML modelling using Python in DataBricks for forecasting, outlier analysis and Next Best Action Design and develop MI tools and reporting systems capable of capturing required data, outputting relevant MI and … SQL or Python, writing code which is clean and easily interpreted Outstanding visualisation skills (we use Tableau) Demonstrable ability to extract and transform data for use in modelling and machine learning Experience in customer focused insight is our ideal, with any exposure to call centre environments being a big plus. Any DataBricks experience is highly advantageous Additional InformationWhat 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 Practical experience of EKS More ❯

application development, testing, and operational stability Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field More ❯

more programming languages Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Proficiency in software applications and technical processes within a discipline (e.g., cloud, AI, ML, mobile) Knowledge of the financial services industry and IT systems Practical cloud-native experience Preferred qualifications, capabilities, and skills Proficiency with Java (Spring Boot), Kafka, SQL and NoSQL databases Cloud More ❯

one or more programming languages, with Python required. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more disciplines (e.g., cloud, AI, ML, mobile). Ability to tackle design and functionality problems independently with little oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on More ❯

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 ABOUT US J.P. Morgan is a global leader in financial More ❯

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 ABOUT US J.P. Morgan is a global leader in financial More ❯

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 ABOUT US J.P. Morgan is a global leader in financial 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 ❯

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 ❯

services or consulting (banking/insurance focus). Knowledge of data governance frameworks (DAMA, DCAM) and regulatory requirements. Strong communication, problem-solving, and collaboration skills. Exposure to AI/ML, cloud data environments, or modern data architectures is a plus. This is a fantastic opportunity to grow your career in data and resilience, working on impactful projects across the financial More ❯

in banking or insurance . Strong knowledge of data governance frameworks (DAMA, DCAM) and sector regulations. Proven leadership in data transformation and business change programmes. Experience with AI/ML adoption and modern data architectures (cloud desirable). This is an exciting opportunity to make a real impact in shaping the future of data in financial services . More ❯