7 of 7 Data Munging Jobs

part of something bigger. As a Senior AI Engineer within the Workday Practice at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver … Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software ...

bigger. As a Lead AI Engineer within the Workday Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product … solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile ...

ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. As a Lead Data Scientist within Kainos' Workday Products division , you will play a pivotal role in actively contributing to the AI solutions behind our fast growing suite … experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes), including their use in designing scalable, cloud-native AI/ML systems. Proficiency in data engineering, including data wrangling, cleansing, and creating pipelines that integrate seamlessly into production environments. Extensive experience in cloud environments (AWS, Azure ...

working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings - including Kainos Smart (Smart Test, Smart … early career experience - with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such as handling sensitive data correctly, using approved tools, and raising potential risks ...

Edits Knowledge of audio and lighting equipment Managerial experience Familiarity with video and content marketing principles Experience incorporating artificial intelligence into workflow processes Data wrangling Exposure to journalism ethics Exposure to agriculture and academia Special Instructions to Applicants: In order to be considered, you must upload your cover ...

Role outline Based in London and reporting to the Director of Data & Research Technology, this role sits within Opinium’s CODE (Centre of Data Excellence) team. This is a hands-on role focused on the delivery of quantitative research programmes, including large-scale global trackers … high-profile multi-market studies. The role sits at the intersection of research technology, survey scripting, data processing, automation, workflow engineering, and operational delivery. You will combine strong technical capability with operational judgement. You understand how complex research programmes are built, where delivery risk sits ...

execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model. A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven … templates and playbooks that make every engagement faster than the last. What You'll Be Doing Building working AI proofs on real client data during Assess engagements, the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent ...