11 of 11 Permanent Machine Learning Jobs in Paisley

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 … 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 … 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 More ❯

to learn 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 … to learn 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 More ❯

Storage, Function Apps, and Azure Monitor. Design the integration of the Power Platform ecosystem with the existing Common Data Platform. Develop solutions using Azure Machine Learning, Function Apps, and Logic Apps. Oversee API management and authentication processes. Ensure compliance with industry standards and best practices. Key Skills & Experience … servicing cloud data technologies to deliver a scalable system. Azure Services including VNets, gateways, Service Bus, Event Grid, Synapse, Blob Storage, Azure Monitor, Azure Machine Learning, API Management, authentication and Logic Apps. Proven experience in data technologies and development processes best practices. Experience monitoring impact, service quality or More ❯

or search applications Knowledge of search technologies (Lucene, Solr, Elasticsearch, or OpenSearch) Familiarity with modern JavaScript frameworks like React or Vue (or openness to learning) Competent in working with both relational and NoSQL databases (e.g. PostgreSQL, MySQL, MongoDB) Comfortable operating in Agile/DevOps environments with a strong emphasis … with a skilled, multidisciplinary team on a modern SaaS data and search platform Get involved with cutting-edge areas such as vector search and machine learning Thrive in a culture that encourages experimentation, innovation, and continuous improvement What’s in It for You? Competitive compensation and benefits Flexible More ❯

or search applications Knowledge of search technologies (Lucene, Solr, Elasticsearch, or OpenSearch) Familiarity with modern JavaScript frameworks like React or Vue (or openness to learning) Competent in working with both relational and NoSQL databases (e.g. PostgreSQL, MySQL, MongoDB) Comfortable operating in Agile/DevOps environments with a strong emphasis … with a skilled, multidisciplinary team on a modern SaaS data and search platform Get involved with cutting-edge areas such as vector search and machine learning Thrive in a culture that encourages experimentation, innovation, and continuous improvement What’s in It for You? Competitive compensation and benefits Flexible More ❯

that meet our customers ever-changing needs today and in the future. Job Description Join our data team to help craft and build innovative machine learning and AI services. You'll work alongside scientists, engineers, architects, and analysts, embedding strong governance from the start. Partnering with our governance More ❯

the day-to-day tasks? Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead the design and deployment of conditional access, Defender for Cloud, Purview DLP, Azure Firewall, and related services. Integrate security into DevOps pipelines, CI More ❯

with deep hands-on Python expertise in a financial services environment, who are eager to work on a cutting-edge project without needing a machine learning background, but with strong experience in calling AI APIs. Responsibilities: Design and develop a generative AI-driven chatbot to effectively handle user More ❯

re building. About the Role This is a permanent, full-time Data Science Team Leader position. You’ll head a team developing production-grade ML and AI solutions, focusing on performance, rigour, and real-world impact. The role is hands-on and strategically important. You’ll own end-to-end … business. This is meaningful AI work, with clear technical challenges and purpose. Responsibilities · Lead and mentor a team of data scientists working on applied ML projects · Take ownership of projects from data acquisition to deployment · Develop robust, high-performance models for real-world datasets · Ensure all outputs meet technical and … experts · Introduce new tools, methods, and approaches where relevant · Communicate clearly with both technical and non-technical audiences Qualifications · Strong Python skills and practical machine learning experience · Proven ability to lead or mentor in a data science setting · Track record of delivering models into production environments · Degree in More ❯

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking More ❯

Engage clients to understand their challenges, designing innovative Agentic AI and LLM-driven solutions. Architect and implement robust AI systems, including end-to-end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud-native AI infrastructure. Mentor and develop … frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Collaboration & Stakeholder … Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for More ❯