51 to 59 of 59 Data Pipeline Jobs in the City of London

communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines * Automate repetitive commercial and operational processes * Create dashboards and reporting tools … Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation * Experience with Opera Cloud ...

communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines * Automate repetitive commercial and operational processes * Create dashboards and reporting tools … Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical SEO, GA4, Google Tag Manager, Google Ads tracking and conversion optimisation * Experience with Opera Cloud ...

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 ...

capabilities, models, and LLM‐powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high‐quality delivery while fostering a culture of accountability, innovation, and continuous improvement. Working closely with product managers and engineering leadership, you will … Enable team autonomy through guidance and governance rather than top‐down control Resolve Issues & Handle Production Incidents Investigate and resolve issues across models, data pipelines, and AI systems Lead incident response for production outages, ensuring rapid mitigation and resolution Implement improvements to prevent recurrence and enhance system reliability ...

Project description: Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Project is a strategic automation and operational resilience initiative focused on automating 350+ manual operational jobs that people … resilient solutions. Mandatory Technical Skills: Python AWS Services Lambda, Step Functions, S3, APIs/EventBridge. Practical, hands-on experience (not certification-only). Data Pipelines & Scripting Understanding of data pipelines. Comfort with scripting (Python, Bash, etc.). Infrastructure as Code (Ideally) Terraform, CloudFormation, or equivalent. Foundational ...

JPMorgan Chase & Co. invites applications for an elite Applied Innovation ML Engineering role within the Chief Data Analytics Office (CDAO) Technology group. The position focuses on building scalable ML solutions for software, cybersecurity, and infrastructure, partnering across business lines to deliver long-term AI-driven projects. Responsibilities include … delivering production-ready ML products, maintaining data pipelines, and driving architectural governance for secure, high-quality code. #J-18808-Ljbffr ...

research, engineering, and external service providers Ensure operational dependencies are managed effectively and issues are identified and resolved promptly Oversee operational infrastructure, including data flows, tooling, reporting processes, and relationships with platforms, counterparties, and vendors Contribute to hiring, team structure, and organisational scaling as the business grows Background … hedge funds Quantitative or systematic trading businesses Execution-focused trading or risk management roles Senior operations, desk management, or COO roles in data-driven organisations Candidates may come from Operations Manager, Head of Trading Operations, Trading Manager, COO, or similar roles, provided they have had direct responsibility ...

leading tech company is seeking an experienced AWS Architect to design and implement secure data architectures on AWS. The ideal candidate will manage lakehouse-based platforms and develop data pipelines while collaborating with engineering teams. This hybrid role requires a minimum of 6 years … experience, strong skills in AWS data services, and expertise in Terraform. Immediate joiners preferred, as the contract runs for 3 to 6 months. #J-18808-Ljbffr ...

owning the core engineering stack and leading a small but highly capable team. The business is building a new approach to real-time data and system infrastructure, designed to remove traditional dependencies on external services through a more tightly integrated, systems-native architecture. You’ll remain hands … high-performance infrastructure platform with significant upside. Responsibilities Own engineering across distributed systems, backend infrastructure, storage systems, APIs, and real-time data pipelines. Lead development of high-performance Rust-based services and distributed compute components. Drive performance optimisation across low-latency systems, event-driven architectures, and high-throughput ...