101 to 103 of 103 Data Cleansing Jobs in England

Office Administrator

Hiring Organisation
Gillman & Soame
Location
Kidlington, Oxfordshire, England, United Kingdom
Employment Type
Full-Time
Salary
Salary negotiable
Administrator to join our team on a permanent basis. While this role supports administrative needs across several departments, your main focus will be data entry, data cleaning, and more. You’ll work closely with customer datasets to ensure accurate information flows smoothly through … experience, but you do need a keen eye for detail, strong computer skills, and an eagerness to learn on the job! Key Responsibilities Data Management: Input, audit, clean, and format data using Excel and internal database systems. Accuracy & Integrity: Ensure high levels of precision ...

Research Scientist/Engineer - Multimodal AI & LLM

Hiring Organisation
Adecco
Location
London, United Kingdom
Employment Type
Permanent
research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. … long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering ...

Senior AI Engineer

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
them. You will work collaboratively across a fast-moving technology company, turningcutting-edgeresearch into practical, scalable solutions.This role reportsto the AppliedAILead. Responsibilities Lead data identification, cleaning, enrichment, preprocessing,feature engineering,andexploratoryanalysis to ensure fitness for AI workflows and to inform modelling and business decisions. Build, tune, andoptimisemachine … sandboxed autonomous workflows integrated intoCI/CDand delivery pipelines. Applymodel adaptation techniques including parameter-efficient fine-tuning(LoRA,QLoRA), modeldistillation, and synthetic data generation for domain-specific and low-resource scenarios. Develop evaluation frameworks covering performance, hallucination, safety, cost, and non-deterministicbehaviouracross classical and generative AI systems. ...