1 to 25 of 74 Machine Learning Jobs in Scotland

and Technology teams on our website. The Role This is an exciting new role aimed at growing our data science capability, and the adoption of data-driven methods (including ML/AI) more widely within the business. You will work with a range of colleagues and teams to help solve complex business problems, unlock business insight and value from semi … develop new data products for internal and external (commercial) customers. The role does not have initial line management responsibilities, but this may change as the Data Science team and ML Ops support grows. This role sits within our Digital, Data, and Technology directorate, aligned to the Data and Analytics department, and reports directly to the Head of Data Science. On … e.g. Spacy, pandas, numpy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface transformers etc. Familiar with both on-premises and cloud-based platforms (e.g. AWS). Working understanding of ML Ops workflows and ability to perform basic model deployment without ML Ops support. Experience Criteria Bachelor's/master's degree in a quantitative field or the Digital Humanities (e.g. More ❯

Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches … As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org … impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community More ❯

design through production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Preferred Qualifications Experience designing data platforms that support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as … can feel really proud of what you and your team created Personal development - clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning. Belonging - everyone at FanDuel works for each other, we win together, make mistakes together and have lots More ❯

What You'll Be Doing Automating Machine Learning workflows (training deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams … Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry … Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days holiday plus your birthday off (including bank holidays) Share options - we believe in shared success Skills development - continuous More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to … to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement continuous integration and delivery pipelines for efficient model deployment. Model Monitoring : Monitor machine learning models in production, ensuring ongoing performance and reliability. Collaboration : Work with … machine learning. Optimization : Continuously improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data More ❯

frameworks to visualize complex AI outputs. Problem Solving & Debugging: Excellent analytical skills with a knack for diagnosing issues and implementing effective solutions. Preferred Qualifications: Experience working in AI/ML projects or GenAI initiatives. Knowledge of cloud platforms such as AWS, GCP, or Azure. Familiarity with containerization (Docker, Kubernetes). Exposure to CI/CD pipelines and DevOps practices. Understanding More ❯

will have strong hands-on experience of building software platforms on Kubernetes, API-based development, REST frameworks, data engineering, and large-scale API Gateway environments. Knowledge of AI/ML and hands-on experience implementing solutions using Generative AI are also preferable. Main Duties: Develop tooling and self-service capabilities for deploying AI solutions. Enhance the developer experience for AI … secure authorization. Proficiency with observability tools (Grafana, Prometheus, etc.). DevOps and CI/CD (Jenkins, GitOps). Strong communication and collaboration skills. Understanding of deep learning and ML frameworks (TensorFlow, PyTorch). Secure coding practices and cloud-native application development. Desirable Skills: Microservices architecture and cloud deployment patterns. Modern application configuration techniques. Experience with distributed state sharing and … with Generative AI and LLM-based applications. Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph). Experience with embeddings and fine-tuning GenAI models. Understanding of ModelOps/ML Ops/LLM Ops. Familiarity with SRE techniques. This role has been deemed Inside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic More ❯

deriving business and technical KPIs Guide the transition of solutions into the hands of the client, providing documentation to operate and maintain the solution Design data pipelines to support machine-learning solutions About you (ideally): Strong hands-on approach - architect, code and facilitate full-scale development Able to explain pro/cons of various AWS options, to justify … one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen More ❯

our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high … teams, including high-performance computing, GPU-accelerated workflows, and research data management. Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs … documentation Strong experience with Linux administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical More ❯

apply your expertise in many ways. Here are some examples to give you a flavour of what you will do: Identify and define technical tasks from project requirements Implement machine learning models, data pipelines, and integrations with Storm's product suite Investigate new AI approaches, frameworks, and best practices for application in public sector contexts Work closely with More ❯

Platform Engineer - Kubernetes - Openshift - Python - AI/ML - 12 month contract - Glasgow Hybrid (3 days onsite) I am looking for an experienced Platform Engineer to support the design and rollout of a next-generation AI development environment for our international client based in Glasgow. This role plays a key part in accelerating the adoption of AI technologies across the business … as Grafana, Loki, Prometheus, and Cortex for monitoring and observability. Implementing CI/CD pipelines (Jenkins) and contributing to GitOps-driven deployment strategies. Supporting the adoption of AI and ML tooling across product and engineering teams. Ensuring development aligns with secure coding and data protection principles. What You'll Bring: Solid experience as a hands-on software or platform engineer … to work with global teams. A strong interest in AI, especially its practical application to real-world engineering and productivity problems. Nice to Have: Experience working with AI/ML platforms, particularly in generative AI or LLM-based systems. Exposure to ML/ModelOps and AI workflow automation tools. Practical experience with agent orchestration tools (e.g., LangChain, LangGraph). Understanding More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data Product Engineering Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving … for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. This team … will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence and we're looking for a Senior Software Engineer to be part of it! Responsibilities : Architect and develop robust pipelines for ML model training, testing, and deployment. Implement and maintain CI/CD workflows for ML projects. Monitor production ML systems for performance More ❯

to Consultant) program for intensive training on AWS technology and delivery approach. Emirati nationality is required. Key job responsibilities As a Data Scientist, you will - Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - PhD or Master's degree or equivalent experience - Experience building a range of AI/ML models - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and More ❯

institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and … institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and More ❯

current lease terms and use, its current value and future "green premium," and the value of energy flexibility in a future grid. We gather all this data and build machine learning models to find the optimum retrofits across a portfolio of buildings. To make this possible, we're building a diverse team of people passionate about solving climate More ❯

our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

part of our Agile development team. In this role, you'll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. 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 ❯

business to garner insights and analysis from our Data Warehouse and Data Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently 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 ❯