Top Tech Jobs & Startup Jobs in London

Manage 20–30 broker and channel partners across onboarding, pipeline development, deal progression, closing, expansion, and renewal. Maintain accurate HubSpot records, resolve commercial blockers, support partner-sourced revenue growth, and share market insights with internal teams. The role requires strong B2B commercial communication, relationship-building, pipeline management, and initiative in a fast-paced energy technology environment.

Own and develop production machine learning components for a dynamic pricing system. Build probabilistic models, experimentation and measurement systems, monitoring, alerting, guardrails, staged releases, and replayable pricing decisions. Investigate commercial pricing adjustments, improve business metrics, and collaborate with engineering, product, platform, sales, and commercial teams. The role requires hands-on production coding, operational accountability, and safe deployment of automated decisions involving money.

Build and scale the ML platform supporting production forecasting, pricing, prediction, and optimization models. Responsibilities include deployment infrastructure, model inference and training, observability, monitoring for drift and degradation, data validation, evaluation and backtesting tooling, production data systems, and reliability ownership. The role also contributes to model improvements, time-series forecasting, and potentially probabilistic modeling and quantitative trading or energy optimization applications.

Own growth marketing for the sell-side business serving energy generators. Responsibilities include account mapping, account planning, bespoke events, positioning, product marketing, sales enablement, and driving target accounts from initial engagement through qualified pipeline and conversion. The role is hands-on, AI-native, and focused on complex enterprise relationships, brand trust, and close collaboration with originators and account leads.

Own the delivery of reliable, secure agentic systems across business engines and services. Identify automation opportunities, define architectures and delivery plans, prioritize work, and establish retrieval, orchestration, MCP, identity, evaluation, access control, recovery, and human approval patterns. Lead multiple agent workstreams, review outputs to production standards, measure time savings, and help teams build and operate agents effectively.

Lead partner activation and GTM automation for the Buy Engine: build agentic workflows, run events and ABM plays, translate complex product and pricing into partner-facing narratives, capture customer insights, and measure activation cost versus pipeline to scale partner-sourced business.

Own multi-country payroll and core People Operations across onboarding, employee changes, documentation, leave, mobility, EOR and offboarding. Serve as the primary contact for employee and manager queries, maintain accurate People data, and improve the People technology stack. Build automations and AI-enabled workflows using tools such as Rippling, Notion, Linear, Slack, Ashby, n8n and Google Workspace while partnering across Finance, Legal, Talent and Performance.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

Lead development and ownership of a high-scale Pricing API for energy transactions. Build backend services, extract pricing logic into a dedicated system, improve performance, and ensure reliability, correctness, monitoring, alerting, and explainability. Establish technical direction across teams, guide engineering standards, lead migration efforts, resolve live pricing incidents, and develop agent-driven workflows. The role requires strong Python, FastAPI, SQL, data-heavy systems, API design, and product judgment.

Staff Full Stack Engineer responsible for architecting and building integration-heavy, event-driven systems for renewable energy products. The role focuses on backend development with Python and AWS serverless technologies, while contributing to React and TypeScript frontend work. Responsibilities include integrating pricing, tendering, data, billing, and risk systems; automating commercial workflows; delivering new product categories; solving ambiguous technical problems; and maintaining high standards for testing, documentation, and code quality.