You will work with Python, AI coding agents (e.g., Claude Code, Codex), and potentially AWS, Kubernetes, and Temporal. Unitary builds Virtual Agents — AI-powered software workers that automate complex workflows end-to-end in customer tools, focusing on commercial insurance, marketplaces, and primary healthcare.

Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

Work with Java, GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces (Gemini, OpenAI, Claude, Llama), Docker, Kubernetes, and CI/CD. Build high-performance, real-time FX risk management systems for a greenfield platform with a 10+ year strategic commitment. As a VP, lead end-to-end delivery and technical direction.

Spotify★4.1 (116)· London

You will work with React, TypeScript, Java, GraphQL, PostgreSQL, and Google Kubernetes Engine (GKE) to build end-to-end solutions. The team builds Groove, a platform that helps thousands of employees plan, coordinate, and deliver work across Spotify.

Build with Python, Go, or Java on the backend, and React/TypeScript on the frontend, using PostgreSQL and non-relational stores, with Docker, Kubernetes, and cloud infrastructure (AWS, GCP, Azure). This role owns full-stack delivery of the B2B product—a campaign, device management, and insights platform for retail and brand partners—along with API design and distributed systems. The team includes engineers, product, and platform groups, working closely with the Head of B2B Product.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

Linux Recruit★3.0 (1)· London

Work with PyTorch, distributed training libraries, Slurm, Kubernetes, and AWS multi-node GPU clusters to architect and optimize large-scale model training pipelines. You will join a stealth AI startup at the intersection of robotics and embodied AI, building the infrastructure that powers next-generation AI breakthroughs.

You'll work with Python, TypeScript, cloud infrastructure, event-driven systems, and third-party integrations to build and ship core product features. Elyos builds AI voice agents that handle calls, emails, WhatsApp messages, bookings, payments, and CRM tasks for trades businesses.

TypeScript, Node, React, AWS, Kubernetes, GitHub Actions, Terraform, and Grafana. You'll own Minut's guest experience surface—messaging flows, guest app, and integrations that turn sensor events into delightful guest experiences. The team is 20+ engineers across product, platform, mobile, firmware, and ML.

Build scalable backend services and APIs with Go, Python, or C++, and develop frontend applications using React and TypeScript. You will ship AI-powered product features end-to-end on a platform combining computer vision, multimodal AI, and real-time data. Work closely with AI and platform engineers on new capabilities within a small, experienced team.

You'll work with PyTorch, distributed training, Docker/K8s/IaC, and Python backend. The company builds foundation models for extreme physics to accelerate progress in semiconductors, aerospace, defence, and fusion. Joining a small, research-heavy team, you'll be the first dedicated engineering owner for the ML stack.

You'll work with Python (FastAPI), Postgres, Redis, Docker/Kubernetes, and AWS. As a founding London engineer, you'll own production services and build scalable backend systems for a commodity e-commerce and electronic trading platform provider.

Build scalable backend services, APIs, and cloud-native systems on AWS running Kubernetes, using TypeScript, Node.js, Docker, and React. You will work directly alongside AI Engineers to build the production platform behind their next-generation AI authentication product.

As a Senior Software Engineer at Syntasso, you'll work primarily with Golang and Kubernetes, as well as other languages like Ruby, Rust, or Python, using XP techniques such as pairing and TDD. You will design, build, and evolve Kratix, the company's open-source platform-engineering framework, and its commercial product, Syntasso Kratix Enterprise, while collaborating closely with a small, expert engineering team and customers.

You will work with GCP, Terraform, GitHub Actions, ArgoCD, Kubernetes/GKE, Bash, Python, and CI/CD pipelines to build the cloud infrastructure platform for a new international iGaming operator launching across Europe. As a Principal / Platform Engineer, you will own DevOps tooling, automation and scalability, collaborating closely with the CTO and co-founders. The engineering team currently includes a Principal Engineer, a Data Engineer and outsourced partners.

You will build and deploy production trading infrastructure using Python, FastAPI, Postgres, Redis, Docker/Kubernetes, and AWS. As a founding member of the London engineering team, you'll design and own high-performance APIs and backend services for the company’s electronic commodity trading platforms. No team size or scope is stated.

Build and ship core product features across Python, TypeScript, cloud infra, and event-driven systems. You will build AI voice agents that handle calls, emails, messaging, bookings, payments, and CRM for trades businesses. As a founding engineer, you'll shape the product and team from the ground up.

At Axon Labs you will own production infrastructure across multi-region cloud and latency-sensitive environments using AWS, Python, C++, Kubernetes, Terraform, CI/CD, PostgreSQL, TimescaleDB, Kafka, Redis, low-latency messaging, Grafana, Prometheus, and Loki. The company is a systematic trading and research lab that builds decision engines running in live markets, with multiple strategies already in production across venues.

Build scalable microservices with NestJS, TypeScript, and RESTful APIs; integrate LLMs into production workflows; and manage GCP/GKE infrastructure and MongoDB. Letly is rebuilding the home rental lifecycle (viewings, payments, repairs) as an AI-native platform for landlords, tenants, and vendors.

Head of Quality Engineering to own quality across the organisation, working with PHP, Kotlin, GO, Python, Typescript, React, React Native, GraphQL, Relay, PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6, Datadog, Sentry, Incident.io, Grafana, AWS, Docker, Kubernetes, RabbitMQ, Argo, Github, and Github Actions. The role will lead the use of AI (LLMs) for testing and will manage a team of approximately two Quality Engineers while being hands-on with code and CI pipelines. Lendable builds technology for consumer credit and savings products.

You'll lead Python and FastAPI development on Lendable's Data Team, building data pipelines, APIs, and services deployed via Docker, Kubernetes, and AWS with ArgoCD. The fintech company rebuilds consumer finance products (loans, credit cards, car finance) to serve UK and US markets faster than traditional banks. You'll mentor a small team of 1–2 engineers while owning technical direction and remaining hands-on with code.

You'll co-architect and deploy production AI agents with customers using Python, JavaScript, and LangChain's frameworks (LangGraph, LangSmith). The Deployed Engineering team at LangChain works directly with enterprises building and operating AI agents in production, helping turn prototypes into reliable systems through POCs, architecture design, technical advisory, and post-deployment support across the full customer lifecycle.

Work with AWS, Kubernetes, Slurm, PyTorch, and distributed training frameworks to build foundation model AI for physical intelligence, enabling robots to learn tasks from a single human demonstration. This hands-on role focuses on GPU compute optimisation, cluster scheduling, and high-performance networking within a small, elite team in London.

You'll work with Python, SQL, DBT, Airflow, Kubernetes, Terraform, and cloud platforms (GCP preferred) to build ML models powering real-time recommendation systems, ranking, and pricing algorithms for Almedia's gaming ecosystem. The team designs reward structures, runs complex experimentation including causal inference and multi-touch attribution, and develops zero-to-one data products that balance user engagement with sustainable returns. Almedia is a fast-growing marketing platform with over 70 million users that rewards community members for engaging with advertisers' products.

This role works with Python, SQL, REST APIs, OAuth, event-driven architecture, Airflow/Prefect/Dagster, AWS/GCP/Azure, Docker, Kubernetes, Microsoft 365, and Microsoft Copilot. As the deep technical engine behind a Global FinTech’s internal AI deployment team, you own infrastructure from data pipelines to system integrations, taking prototypes to production.