Top Tech Jobs & Startup Jobs in London

Source and close new customers among semi-professional, amateur, and grassroots football organizations across France and BeNeLux. Build prospect relationships, manage a sales territory, conduct outreach, understand customer needs, present sports software solutions, and meet sales goals. The role requires French and English fluency, hands-on football club experience using Hudl products, regular customer travel, and attendance at the London office at least three days weekly.

Leads two applied machine learning squads developing production computer vision and deep learning systems for sports. Manages engineers and data scientists, drives technical and modeling excellence, oversees scalable cloud infrastructure, balances model accuracy with cost and speed, and aligns cross-functional stakeholders on priorities. The role focuses on real-time game data generation, event detection, player tracking, and post-game analysis while fostering team growth and a high-performing environment.

Source and close new customers among UK amateur and grassroots football organizations. Manage inbound and outbound leads, build prospect relationships, negotiate deals, organize territory activity, and promote Hudl’s sports software solutions. The role requires customer-facing sales experience, strong communication, networking, motivation, teamwork, and regular customer travel. Candidates should live within commuting distance of London and attend the office at least three days weekly.

Build and maintain backend-heavy systems for Hudl’s Global Sports Library, including APIs, distributed services, data models, entity-resolution systems, ingestion pipelines, and large-scale data infrastructure. Collaborate with engineers, quality analysts, product managers, and designers; solve complex technical challenges, support frequent deployments, and provide guidance to less experienced engineers.

Leads international HR Operations across Europe, Asia, and LATAM. Translates global HR strategy into scalable programs, policies, and service standards; oversees employment compliance, payroll, benefits, mobility, health and safety, vendors, automation, and M&A integrations. Advises senior leaders, manages governance and risk, develops the HR Operations team, and uses metrics to improve service delivery and operational efficiency.

Hudl is building a talent community for future sales opportunities, including Account Executives and Customer Success Managers. Account Executives manage sales cycles, develop new business, close deals, and work with elite sports organizations. Customer Success Managers retain and renew accounts, engage users, provide education, identify expansion opportunities, resolve dissatisfaction, and improve renewal and engagement metrics. Registering interest does not constitute applying for a current opening.

Develop high-performance iOS and Android applications and backend services for athlete performance. Build low-latency communication interfaces that stream sensor and optical tracking data to cloud and mobile clients, translating complex biomechanical data into actionable metrics. Collaborate with Engineering, QA, Product, Design, and Scrum teams; write quality code, conduct reviews, test ideas, and contribute to mobile, cloud, real-time data, and application architecture.

Design, architect, and deliver highly available, scalable, and secure platform infrastructure. Lead technical design for site reliability, cloud infrastructure, observability, and production operations. Mentor engineers, promote operational consistency, and guide infrastructure projects. Use AWS, Terraform or OpenTofu, Kubernetes, and AI tools to improve engineering workflows and platform engineering practices.

Lead Agile delivery across multiple squads, coaching teams and the broader organization toward autonomy, sustainable performance, and improved outcomes. Identify cross-team dependencies, reduce organizational friction, establish predictive delivery metrics, improve stakeholder visibility, and foster psychological safety. Adapt Agile frameworks and design effective information flows and decision rhythms. Collaborate regularly in the London office with globally distributed product teams.

Design, build, and maintain scalable edge ML infrastructure and model compilation pipelines for embedded devices. Deploy and validate optimized inference engines (TensorRT, quantization), run CI/CD and automated testing on fleets, monitor telemetry and performance, solve edge constraints (bandwidth, storage, reliability), and mentor the team on Python tooling and IaC.