22 of 22 Machine Learning Jobs in Glasgow

that’s as ambitious as our technology. What You’ll Do As a Machine Learning Engineer, you’ll play a key role in designing, developing, and deploying ML models that power our core products. You’ll work closely with data scientists, software engineers, and product managers to bring intelligent features to life. Your responsibilities will include: Designing and … implementing machine learning models for real-world applications Preprocessing and analysing large datasets to extract meaningful insights Collaborating with cross-functional teams to integrate ML solutions into production systems Monitoring and improving model performance over time Staying up to date with the latest research and best practices in ML and AI What We’re Looking For We’re … excited about building something new. You should have: 2+ years of experience in machine learning or data science roles Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning algorithms and statistical methods Experience working with cloud platforms (AWS, GCP, or Azure) Familiarity with MLOps tools More ❯

ll work in an agile, collaborative environment, leveraging modern technology stacks to build and optimize a powerful data platform and search engine. With an opportunity to explore vector search, machine learning, and large-scale data processing using Apache Lucene, Solr, or Elasticsearch. What you'll be doing: Design, build, and optimize a high-performance data platform and search … mentor more junior members of the team. Why This role? Be part of a highly skilled team developing a modern data and search platform Work on vector search and machine learning applications A culture that values innovation, collaboration, and continuous learning What's In It for You? Competitive salary & benefits package A chance to work with cutting More ❯

Security Lead, you will collaborate with cross-functional teams to embed security by design into our data infrastructure, enabling advanced analytics and data science use cases-including AI and Machine Learning-without compromising on compliance or control. To be successful as a Data Security Lead, you should have experience with: Proven … architecture and control design experience in a data security or cybersecurity context. Strong background as a Cloud technologist with hands-on experience in data science platforms and AI/ML use cases. Demonstrated expertise in implementing security by design principles and conducting threat modelling and translating this into designs mitigations for delivered patterns. Ability to translate complex security requirements into … CCSP, GSEC, or cloud-specific security certifications. Experience with public cloud platforms such as AWS, Azure, or GCP, especially around data services. Understanding of emerging threats in AI/ML applications, including adversarial attacks or data poisoning. Strong communication skills and the ability to engage with both technical and non-technical stakeholders. You may be assessed on the key critical More ❯

and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯

mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/BI tooling This a great opportunity to join a team of genuinely tech-driven specialists More ❯

mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/BI tooling This a great opportunity to join a team of genuinely tech-driven specialists More ❯

Blazor, Vue, or ASP.NET MVC. Secure coding practices and familiarity with DevSecOps tools. Proven ability to lead, mentor, and communicate effectively across teams. Bonus Skills: Experience with generative AI, machine learning, and AI-driven development. Familiarity with Docker, Kubernetes, and serverless platforms. Experience with messaging systems and distributed architectures. Knowledge of Entity Framework, Cosmos DB, MongoDB or Cassandra. 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 ❯

diagnostics and prognostics. Initially, the focus will be on managing the UK's 20,000 km of signalling power cables (SPCs) in the rail sector. The platform will utilise machine learning and time-series analysis to provide predictive fault detection, enhance safety, reduce maintenance costs, and minimise downtime. By leveraging Forte Engineering’s Tier 1 supplier status and More ❯

an automation project. Our client are seeking experienced software engineers to lead the development of document automation services. You'll work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document 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 ❯

have: Proficient Java development skills Experience with cloud technology platforms Front-end and back-end development experience Leadership Skills Other highly valued skills may include: Exposure to AI and Machine Learning Experience experimenting with new and emerging platforms Familiarity with Agile development techniques You may be assessed on the key critical skills relevant for success in role, such 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 ❯

managing it. We are deploying our cloud-native platform globally, opening up travel opportunities from Australia to Trinidad, the US to Qatar. We are also enhancing the platform with machine learning and generative AI functionalities, working with the latest technology. We are in full-scale growth mode and need passionate engineers to help us maintain our standards of 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 ❯

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 ❯

highly valued skills may include: Experience with API testing and integration testing. Familiarity working with Infrastructure as Code with one of the Hyperscales - AWS preferred. Familiarity with AI/ML Technologies and Conversation Interfaces. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking More ❯

you should have: Proficient Java development skills Experience with cloud technology platforms Front-end and back-end development experience Other highly valued skills may include: Exposure to AI and Machine Learning Experience experimenting with new and emerging platforms Familiarity with Agile development techniques You may be assessed on the key critical skills relevant for success in role, such 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 ❯

an automation project. Our client are seeking experienced software engineers to lead the development of document automation services. You'll work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document More ❯