3 of 3 Data Munging Jobs

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 ...

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 ...