Top Tech Jobs & Startup Jobs in London

Manage and expand strategic maritime accounts across the Nordic region, driving upsell, cross-sell, revenue growth, and complex deal closure. Build trusted client relationships, negotiate contracts, maintain Salesforce data integrity, support forecasting and commercial planning, and gather market intelligence. Collaborate with Sales, Customer Success, Marketing, Sales Operations, and product teams while representing Kpler externally and contributing to strategic initiatives.

Develops interactive, static, and animated data visualizations that transform complex commodity, maritime, and geopolitical datasets into actionable narratives. The role involves querying and validating data with SQL and Python, applying GIS and spatial analysis, building web-based interactive experiences with JavaScript or TypeScript, collaborating cross-functionally, and mentoring peers on visualization and storytelling standards.

Drives new-business revenue across Europe by managing the full B2B sales cycle, including prospecting, lead qualification, platform demonstrations, negotiation, closing, territory planning, executive relationship development, CRM forecasting, and cross-functional collaboration. Focuses on selling Kpler’s SaaS, data, and market-intelligence solutions to technology, consulting, commodities, energy, and maritime clients.

Own the Fisheries product end to end, including strategy, roadmap, customer discovery, methodology, first release, positioning, partnerships, and go-to-market. Build live fleet monitoring and catch and yield reporting for seafood procurement and compliance teams addressing IUU fishing and traceability. Collaborate with Product, Engineering, Data, Sales, Marketing, regulators, NGOs, and supply-chain stakeholders to translate complex maritime and fisheries data into trusted customer solutions and drive adoption.

Lead end-to-end graphic and motion design across campaigns, reports, events, social content, digital channels, print, and out-of-home experiences. Translate complex data and technical concepts into compelling visual stories, develop multi-format creative systems, evolve the brand, and collaborate with marketing, communications, data visualization, and product design teams. Mentor junior and mid-level designers while maintaining high standards for craft, consistency, and innovation.

Own and scale high-throughput batch and streaming data pipelines for maritime telemetry and predictive analytics. Design and optimize Apache HBase storage architectures, operate containerized AWS infrastructure, and establish reliability metrics for pipeline performance and SLAs. Collaborate with data scientists, product managers, and SRE teams to deliver production-grade infrastructure. Mentor engineers, improve code review standards, and use AI-assisted development tools.

Leads and grows a machine learning engineering team responsible for production ML infrastructure, automated training, model evaluation, MLOps pipelines, observability, and low-latency model serving. Provides technical architecture guidance, partners with product and data teams on roadmaps, promotes engineering best practices, and supports technical hiring. The role focuses on reliable ML systems processing large, real-time datasets, with potential emphasis on streaming, time-series, and spatial-temporal applications.

Own and modernize end-to-end financial data pipelines, predictive models, and cloud infrastructure. Build real-time market-data ingestion, migrate services to AWS, rewrite PHP calculations in Python, and manage time-series and search databases. Implement data quality, monitoring, alerting, containerized deployments, CI/CD, and GitOps workflows. Collaborate with quantitative researchers and analysts while mentoring engineers and guiding architecture.

Design, build, and operate high-throughput backend services, APIs, real-time streaming applications, and data pipelines. The role includes using Kafka, Flink, and cloud infrastructure; monitoring system health and data freshness; investigating incidents; improving observability, testing, CI/CD, and maintainability; and collaborating with product and platform teams to deliver scalable maritime intelligence solutions.

Build and operate responsive web applications, backend microservices, and APIs delivering real-time trade intelligence. The role covers frontend and backend development, data modeling, deployment, monitoring, production support, cloud infrastructure, testing, and system reliability. The engineer will collaborate with product, design, data science, and engineering teams while using AWS, Docker, CI/CD, and AI-assisted development tools.