26 to 33 of 33 Data Pipeline Jobs in Central London

Data Scientist (Fixed Term Contract) Contract Details: Contract Type: Fixed Term Contract Contract Length: 12 months Working Pattern: Full Time Daily Rate: 600 to 750 Our client, a leading player in the retail industry, is seeking a talented Data Scientist to join their dynamic team … term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist, you will be at the forefront ...

maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive … Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge/working experience of relational databases, object stores, graph databases ...

Azure Data Engineer - 1/2 days onsite 18 month FTC Summary: Join a team building a modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse … Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster click apply for full job details ...

KDB+ Data Engineer - Banking and Financial Services Permanent Based in London - hybrid £70K - £80K Urgently hiring for a hands-on KDB+ Data Engineer with 2-3 years experience and strong Python skills for an exciting opportunity within the banking industry. This is a permanent role with … great opportunity for a technically minded engineer looking to build on their KDB+/q and Python experience, working with financial data and high-performance data solutions in a banking environment. Skills and Requirements: * 2-3 years of hands-on KDB+/q experience. * Strong Python ...

KDB+/q and Python Developer with 3-5 years of commercial experience to join a technology team developing and supporting high-performance, data-driven applications. Responsibilities: * Develop and maintain applications using KDB+/q and Python. * Build and optimise data pipelines and time-series data solutions. * Improve query performance, data processing and system efficiency. * Troubleshoot technical issues and support application development. * Collaborate with technical teams to deliver robust, scalable solutions. Skills & Experience: * 3-5 years of hands-on KDB+/q development experience. * Strong Python development skills. * Experience working with large ...

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 ...

related technical field, or equivalent practical experience. 5 years of experience in software development, including experience with Python. Experience with the research-to-deployment pipeline in a frontier AI environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers … interpretability and probes. Knowledge of AI control, chain-of-thought monitoring, faithfulness, monitorability, and related frontier safety research. Responsibilities: Build advanced classifiers and data pipelines to detect misuse, and own the end-to-end process from automated evaluation to rapid model iteration. Build cross-context monitoring systems ...

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 ...