1 to 25 of 36 Machine Learning Jobs in Glasgow

quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps … passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‐driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working … Amazon Tech Talks: What you'll be doing: Design modular and scalable real time data pipelines to handle huge datasets Understand and implement custom ML algorithms in a low latency environment Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently What ...

markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary … also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design ...

augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy … reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques ...

solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable … Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high‐performance analytical environments. Contribute to DevSecOps and cloud ...

technology and development principles Proficiency in modern cloud platforms, especially AWS, with experience designing and managing scalable cloud-based solutions Experience integrating AI and machine learning technologies into software solutions Proven skills in database design, optimization, and maintenance, ensuring data integrity and performance Demonstrated experience leading teams using … such as Scrum or Kanban Advanced knowledge of software application development and technical processes in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Experience applying expertise and new methods to solve complex technology problems Ability to present and communicate effectively with senior leaders ...

engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What … production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. ...

Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom … nice to have, but not required. We have an amazing team to take care of the low-level aspects. Collaborate with our world-class ML team to showcase their research through Studio. No ML background is required, but a readiness to learn is essential! Maintain and extend the Edge Impulse ...

Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaborate with technology to specify any dependencies required for analytical solutions, such ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

Barclays is looking for an Assistant Vice President to design, develop, and support mathematical and machine learning models that aid in business decisions. The role involves collaborating with technology teams to ensure effective implementation and providing ongoing support for analytics solutions. The ideal candidate will demonstrate strong leadership ...

other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside … helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development : Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering : Prepare and manage structured and unstructured datasets, ensuring quality inputs ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

Datadog, Soda, SSRS, etc. Cloud: Azure, AWS (S3) basic Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Need Hands on AI skills. Key Responsibilities Full Stack Development: Build and maintain scalable web applications using Java (Spring … Boot), Python (Fast API/Django), or Node.js for the backend. AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs. Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL ...

security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks. Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization. Advanced proficiency ...

experience Desired Experience Experience with financial reporting or revenue management systems Testing experience across complex rules engines and financial data Experience with AI/ML implementation and/or BI/reporting solutions Experience with Azure or other relevant cloud-based solutions What Sets You Apart Excellent technical problem solving ...

Jenkins, or CircleCI). Comfortable with standard version control workflows (Git) and Linux CLI tools. Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects. Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments. Strong skills ...

into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use • Collaborate with Product to translate business problems … Strong backend engineering experience (RoR and/or Golang preferred) • Experience integrating APIs and working within distributed systems • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar) • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow ...

Technical Enablement Lead/Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire … champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create ...

unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. ...

Pulsar, Python Experience with networking and security concepts Interest or experience with marketing technologies Interest or experience with big data, data analytics, AI and machine learning Ireland (Dublin) or UK (London or Milton Keynes ...

leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have … home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career ...

methodologies, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). Ability to solve data-oriented problems using technologies such as SQL, relational databases, Spark, and NoSQL. Preferred Qualifications, Capabilities ...

regulations in one or more jurisdictions Experience of other programming languages, e.g. Python KX Surveillance deployment and enhancement Experience with application of AI and Machine Learning Cloud development experience Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation People management ...