Work with React, TypeScript, Python/Node.js, Next.js, NoSQL/Relational databases, Docker, and cloud deployments. You will collaborate with public sector clients to build full-stack AI applications and custom LLM training data. Scale’s Global Public Sector team applies AI to critical government challenges.

Hands-on Head of Engineering role building a modern, API-first, microservices-based platform for a specialty MGA. Will work with cloud architecture, modular services, AI, and data platform to deliver embedded insurance products. Initially close to code, then responsible for defining team structures and scaling the engineering organization.

You will work with Python, Django, FastAPI, PostgreSQL, AWS, and distributed async workers. The team builds an AI platform that processes purchasing records and recipes to measure and reduce carbon emissions for the food industry. You will own the backend for a core product in an eight-person startup.

Python, SQL, AWS, IaC (Pulumi or Terraform), and likely Airflow, dbt, Spark, Kafka. You will build ETL/ELT pipelines ingesting and normalising data from fragmented legacy police systems for AI-powered investigation software and smart hardware. This is a founding role on a 7-person engineering team.

Take full ownership of technical architecture and end-to-end product development on an existing MVP, evolving it into a robust, scalable platform using undisclosed technologies. You will build the infrastructure for the creator economy, replacing manual spreadsheets with long-term community software for a London-based startup already partnered with high-profile UK brands and Kylie Jenner's K2O. As Founding CTO, you will recruit, lead, and mentor the engineering team as it scales following an upcoming funding round.

As Head of Engineering you will lead an eight-person team set to triple, working hands-on with AI-native tooling, code review, and architecture for treasury management infrastructure processing hundreds of millions of euros monthly. Key technologies include the company’s own full-stack issuing, operating, and distribution systems accessed via app or API for cash management.

You will work with Python, TypeScript, React, AWS, and Pulumi to build distributed infrastructure and AI systems. This role focuses on automating complex workflows in physical industries like aerospace and healthcare, building scalable backend systems and managing GPU orchestration for a seed-stage industrial AI startup.

Architect and build scalable backend systems and APIs using Node.js, TypeScript, PostgreSQL, and event-driven architecture. You will integrate services with LLMs and AI models to automate property management workflows for Felicity, an AI assistant. As the most senior backend engineer, you will mentor the team and establish engineering standards.

You'll develop and refine LLM agents, designing scaffolding, running research experiments, and building internal benchmarks to improve reasoning and probability distributions. Mantic is a London-based AI startup that builds systems for judgmental forecasting of geopolitical and economic events.

You’ll work with JavaScript/TypeScript, Python or Golang, and AWS/GCP, using AI assistants in daily development. You’ll build and own features end-to-end for an AI-driven product at a fast-growing European scale-up, collaborating with engineering and product leads. No team size is stated.

You'll work with C#/.NET 10, SQL/T-SQL, Azure, React, and AI/agent/document-processing tools. This InsurTech startup is scaling its platform from hundreds toward 10,000+ daily users, building core features, customer experiences, and integrations. You join a team of about eight engineers.

You'll build scalable backend services and APIs using Node.js and TypeScript, designing distributed systems and integrating AI capabilities. The team delivers the core platform powering a fast-growing global business used across multiple international markets.

Kaluza★5.0 (1)· London

In this pre-sales engineering role, you'll build mock backends and demo infrastructure using Node.js, TypeScript, React, REST/GraphQL APIs, AWS, PostgreSQL, DynamoDB, and Terraform, leveraging LLMs like Claude and Gemini for rapid prototyping. You'll support Kaluza's Energy Intelligence Platform, which uses data and AI to help energy companies transition to clean energy, by creating technical assets for client validation. The role involves mentoring the pre-sales team on API design and GenAI workflows.

You'll work with TypeScript, React, and Python, integrating LLMs, AI agents, or AI-powered APIs. This AI startup automates workflows for complex industries, combining AI, automation, and intuitive user experiences to transform manual processes.

You’ll work with Go, Python or C++, React, TypeScript, AWS, Kubernetes, and AI/computer vision, shipping end-to-end features for a fast-growing AI company building intelligent systems with multimodal AI and real-time data. The small, highly technical engineering team handles backend, frontend, and AI-powered customer products.

As Technical Lead, you will tackle complex backend and AI challenges, feeding context to AI models and designing systems for unstructured data. You will own a product domain end-to-end within an AI-native data collection platform for physical inspection. You will also coach engineers and align multiple team members around a technical vision.

Build GenAI applications with LLMs and orchestration frameworks using production-grade Python on Azure and Databricks. Apply CI/CD, containerisation, and MLOps to take ML systems from ideation to production for a UK consumer services company’s 15-person central AI function.

You'll work with C# / .NET, React, TypeScript, Azure, and Claude Code to build product features across backend and frontend. The team is modernising commercial insurance by creating software infrastructure for broker workflows, quoting, pricing, and scalable platform services.

You will work with a modern typed stack across backend, data, and interface layers, build with large language models for retrieval, extraction, and evaluation, and produce browser automation for legacy systems. You own delivery end-to-end for enterprise clients, extracting shared platform infrastructure like RegPulse from consulting engagements. This is the first permanent engineering hire; you set the technical standard and build the team that follows.

This legal role works with Ultralytics’ AGPL-3.0 and Enterprise dual-licensing model for YOLO computer vision AI, and may involve SCA tools, SPDX, and SBOMs. The team builds and manages the world’s leading YOLO models, simplifying AI with a dual-licensing revenue model. The role is the company’s first in-house lawyer, building the legal function from scratch with no existing team.

You will work with Siena’s AI agent platform and apply hands-on prompt engineering to optimize responses and automate workflows. The company provides a single AI agent that owns the entire customer journey for consumer brands, collapsing support, shopping, and social tools. The team is small, fully distributed, and global.

GetGround★5.0 (3)· London

Use Ashby ATS and AI-powered recruitment tools to own hiring across engineering, product, design, and growth at GetGround, a PropTech company reimagining property investment with AI. The role reports to the VP People.

Odin builds a full-stack platform for launching and running private investment firms (like venture capital and private equity). In this fractional CMO role, the specific technologies, tools and channels aren’t listed, but you will own strategy and creative direction across Google Ads, SEO, email, social, events, content, and paid. No team size is given.

The Head of Marketing will own Google Ads, SEO, email, social, events, content, and paid channels, building landing pages and copy directly. The role is for Odin, a full-stack platform that handles infrastructure for launching and running private investment firms.

Lead AI-native ERP implementations using DualEntry’s platform and AI tools like Claude. DualEntry builds an AI-native ERP that automates accounting from data entry to close. You’ll own end-to-end implementations, onboarding, and customer relationships.