8 of 8 Permanent Data Collection Jobs in Central London

client is seeking a Data Management Lead in the London area. The Data Management Lead will play a pivotal role in driving the success of the UK Leasing business by ensuring the delivery of high-quality market data that provides a competitive edge. This role involves overseeing … data-related activities, implementing and enforcing data governance policies, and managing a team of data professionals. You will act as a subject matter expert on data management, collaborating closely with business users to understand challenges and develop strategic roadmaps. Key responsibilities include establishing robust frameworks ...

elevating experiences. As part of this innovative team, you’ll contribute to a platform that pushes the boundaries of digital advertising, combining creativity with data-driven precision to deliver unmatched results for top-tier clients. THE ROLE As the Engineering Manager , you’ll report directly to the CPTO … lead a team while being hands on through a pivotal phase of growth. Your mission: build data products , optimize data collection, and drive automation across the business. This role is 60% hands-on technical leadership and 40% mentorship , focusing on big data, efficiency, and product innovation ...

Champion Data, our dedicated team are united by sport and driven by data. We strive to revolutionise and transform sport data globally by leveraging our cutting-edge technology and expert team, ensuring we deliver the best possible outcomes for our partners and clients. About the job Champion Data … learn and grow into greater technical responsibility Clear written and verbal communication skills Strong problem-solving ability and attention to detail Experience with data-intensive or distributed systems is advantageous but not required. Tell me more about Champion Data For over 20 years, Champion data has been ...

make AI useful in production. In the immediate future, your time will be split between crafting complex AI processing architectures (40%) and hands-on data/backend engineering (40%), with the rest spent doing whatever is needed to ship. As we mature, your focus will shift toward closing … loop: using real-user data to optimize the platform via online evaluation and targeted, data-driven models. What You’ll Do Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context ...

Brainspace and offers a full suite of eDiscovery solutions in one seamless platform, harnessing the latest in AI technology to get to the salient data as quickly and cost-effectively as possible. We have an opportunity for an eDiscovery Project Manager, to work within our eDiscovery legal technology services … eDiscovery platform. Perform various Project Management tasks for those clients. Create new matters on the back-end eDiscovery platform, adding users, assigning permissions. Data collection from either a) remote collection, b) on-site collection or a combination of the two (training given). Uploading and processing ...

event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. Responsibilities: Design and implement reactive, real-time web interfaces that help manage & redefine what … possible with in-store content personalisation Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources. Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients Model and manage structured and semi-structured data across storage ...

gaps in critical global labour needs. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close … + tele‐op logs, version them, apply weak‐supervision labelling, curate balanced datasets, and auto‐surface fresh failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems ...

large-scale, resilient web scraping systems, with a strong focus on Google and Google-like search environments. This role sits at the intersection of data engineering, reverse engineering, and systems reliability, and is critical to delivering accurate, timely, and trustworthy data at scale. You will work on complex … scraping problems where naïve approaches do not work-dynamic rendering, sophisticated anti-bot defences, frequent markup changes, and high-volume data collection. We are leaders in adopting AI-assisted and agentic coding workflows. This role is ideal for someone who believes in leveraging AI tools to accelerate development ...