26 to 36 of 36 Machine Learning Jobs in Dorset

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate to improve AI model performance ...

field. * Proven product management experience with several years focused on MES/MOM, manufacturing software, or related industrial technology. * Proven experience managing AI/ML-enabled products or software solutions in manufacturing or supply chain domains. * Strong understanding of manufacturing execution systems, industrial processes, and integrations with ERP systems. * Excellent … degree in Business, Engineering, or Computer Science. * Hands-on experience working with Infor MES, M3, LN, or Syteline products. * Knowledge of AI/ML technologies, including practical applications in predictive maintenance, quality control, or production optimization. * Experience working on SaaS/cloud product transformations and multi-tenant architectures. * Experience working ...

Data Engineer – AI/ML (LLM, Agentic AI, Python) Bournemouth – Onsite (5 days/week) Full-Time/Fixed-Term Contract Our client who is a global IT-services & consulting firm is seeking a highly skilled Data Engineer with strong AI/ML, LLM and Python experience to join their … technology team in Bournemouth. This is a hands-on role focused on designing and delivering next-generation AI/ML solutions for test automation within the Securities Processing domain . You will work closely with engineering and QA teams to build intelligent automation capabilities including AI-driven test generation, test ...

with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices for DBT–Cortex architecture and usage patterns. Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. Build … orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. ...

Ship production ML and agentic AI powering market leaders worldwide Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses … Applied AI Engineer, you will own the lifecycle of the models and agents that power our product. You will build and maintain ML data pipelines, develop production-ready LLM- and agent-driven features, and work closely with backend engineers to integrate models into real systems. This is a role ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

cloud security architecture across AWS, Azure, and GCP, with expertise in IAM, key management, data encryption, and network segmentation Skilled in securing AI/ML workloads and data pipelines, ensuring the AI systems have controlled, auditable, and principle-based access to sensitive information Experienced with hybrid architectures integrating on-premises … Develop security-by-design principles and embed them into every stage of the engineering lifecycle — from design to deployment Work closely with Technical Architects, ML Engineers, and DevOps teams to ensure end-to-end protection of data and systems Implement proactive security monitoring, incident response, and resilience strategies, protecting infrastructure ...