76 to 98 of 98 Machine Learning Jobs in Wales

Role Overview Mercor is partnering with a top AI research lab on an exciting project pushing the limits of multimodal machine learning — technology that helps AI understand both visuals and sound. We're looking for detail-oriented freelance contributors to review and compare short video and audio clips. ...

meet deadlines. Work on your own schedule to support cutting-edge AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Qualifications Must-Have 4+ years professional experience in your respective field. Excellent written communication with strong grammar and spelling skills. Start Date ...

common requests in 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. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

common requests in 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. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

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 in 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. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

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 with AI labs to support research ...

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 while contributing to cutting-edge AI research. Collaborate with AI labs to enhance research ...

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 while contributing to cutting-edge AI research. Collaborate with AI labs to enhance research ...

requests in your professional domain. Review peer-developed deliverables to enhance AI research quality. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet project goals. Contribute expertise to cutting-edge AI research while maintaining flexible hours. Qualifications Must ...

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 ...

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 ...

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. ...

data scientists, and other data consumers across IT and the business to optimize data availability with intention to build, refine and enhance AI/ML models and algorithms. Drives continuous improvement in data pipelines and data warehouses and partners with others to ensure both timely availability and security of data. … insurance risk analytics with cat-modelling exposure/results data familiarity (AIR/RMS) Behavioral Competencies Collaborates Communicates Effectively Customer Focus Decision Quality Nimble Learning Technical Skills Snowflake (Streams/tasks, snowpipe, performance tuning) SQL .NET (C#) API Development (REST, JSON) PowerBI Data analysis Data Modeling Data Engineering Python ...

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 ...

consumers and enterprises. The company develops best-in-class solutions that analyze, optimize and monetize OTT application traffic going through the networks. With contextual machine learning-based insights and real-time actions, AppLogic Networks has become a global leader in Application Quality of Experience (QoE). As part ...

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 ...

panic. Someone who loves questions more than answers... at least at first. You'll be: Leading 0→1 development across AI-first products Turning ML capabilities (Python, TensorFlow, PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across … validating concepts at speed You'll thrive if you: Have shipped 0→1 products, not just maintained existing ones Understand how AI/ML actually works in product (beyond buzzwords) Are comfortable in high ambiguity and low ego teams Can move fast without breaking the trust of regulated environments Bring ...

.NET Developer - Swansea (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client ...

user friendly Responsible for data quality and governance Stay up to date with BI tools, technologies and trends. Lead the integration of AI and ML techniques and tools to help automate repetitive tasks and improve predictive analytics for forecasting. The Candidate Business Intelligence Analyst You will bring proven experience … familiar with relational databases, data warehousing, and ETL processes. Experience in translating the business needs into analytical solutions. Practical experience with AI/ML frameworks Fantastic communicator and team player capable of influencing adoption of new BI tools. Analytical with a problem-solving approach showing attention to detail ...