26 to 35 of 35 Machine Learning Jobs in Worcestershire

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 ...

body of knowledge in the deployment of fair and transparent AI models Research & Innovation Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance. Conduct research into new AI use cases and innovate to enhance KPMG's offerings. Publish findings … different field, or no degree at all but significant professional experience in a related field, please consider applying Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus. (We want to continue to build out our team with the best and brightest minds in the industry ...

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. ...

sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements Experience with using/configuring/debugging Linux machines and Network issues Strong understanding and experience with Kubernetes, including hands … getting the role. - We progress careers - During the project, see how much you learn. That's what working at Teleport is like. We like learning, on the job. All-the-time. - We can move fast (if you can) - two weeks sound like a long time? No problem? Early submissions ...

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 ...

aligned skills, ensuring the practice remains current with certification and best practice Foster an inclusive, collaborative technical community that promotes knowledge sharing and continuous learning Support hiring for senior technical roles by defining required technical competencies and participating in technical assessments where needed Provide technical oversight for the design … with Microsoft field, engineering or partner teams, including engagement on roadmap, co-sell or joint customer activity Familiarity with Azure Data, Fabric, AI/ML or Copilot/Copilot Studio capabilities and how they extend Business Applications solutions Experience developing reusable assets, accelerators, frameworks or solution patterns Contributions to knowledge ...

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - Worcester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...