Citi★3.9 (21k)· London

Work with Solidity, Web3J/Web3JS/Ethers.js/Viem, Java/Spring, Node.js, and blockchains such as Ethereum, Hyperledger Besu, Canton, and Solana, using Hardhat/Foundry/Truffle for testing. Contribute to Citi's Integrated Digital Assets Platform (CIDAP) building Web3 components for tokenization, smart contracts, and on-chain settlement.

You will use TensorFlow or PyTorch, Python, and CV/graphics libraries, plus 3D engines like Unreal or Unity, to develop generative models for graphics and video. As part of the Visual Computing Group, you'll design neural networks and ML for PlayStation's game rendering and live

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.

Koinly★3.0 (1)· London

Work with React 19, TypeScript, TanStack (Router, Query, Table), Radix UI, Mantine, Tailwind CSS v4, Vite, Vitest, Storybook, Highcharts, Sentry, Bun, and RabbitMQ on a data platform that reconciles crypto transactions and tax obligations for Koinly’s web application, with a React Native mobile app joining scope later.

Koinly★3.0 (1)· London

You will work with TypeScript on Bun, RabbitMQ, Redis, PostgreSQL, Vitest, Sentry, and Rust. The team owns the distributed data-processing backend that ingests, normalizes, and reconciles on-chain and exchange data for Koinly’s crypto tax calculation 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.

You'll build backend runtimes, distributed systems, and orchestration services using Kubernetes, Postgres, Redis/Valkey, and object storage. Your work powers AI product runtimes that coordinate long-running agent workloads, execute code securely, and manage state across distributed environments.

Atos★3.5 (3.2k)· London

You will work with **Java, Spring Boot, React JS, AWS Cloud, Microservices, Mulesoft (Anypoint Studio, API Manager), CI/CD, Git, and Jest**. The team supports, enhances, and modernizes complex enterprise applications as part of large-scale digital transformation and cloud migration programs at Atos, a global digital services provider.

You will work with Java, Spring Boot, React JS, JSF UI, AWS, Microservices, Mulesoft (Anypoint Studio, API Manager), CI/CD, Git and Jest. The team supports, enhances and modernizes complex enterprise applications and large-scale digital transformation initiatives for the company's global clients.

You will work with real-time middleware and a runtime platform for industrial control systems across AWS Data Centers. The team designs and evolves these tools to power data center infrastructure globally.

Work with Nvidia GB200 72NVL CX8 and AMD MIxxx architectures, coding in C, C++, C#, Java, JavaScript, or Python to benchmark, profile, and debug GPU clusters. You will help build foundational models powering Microsoft’s personalized AI assistant, Copilot, spanning training and inference infrastructure, model architecture, and data curation.

Databricks★3.0 (21)· London

You will work with Python, Scala, JavaScript/TypeScript, Apache Spark, and cloud ecosystems (AWS, Azure, GCP) to build production-grade data and AI solutions on the Databricks platform. In this hands-on role, you lead architecture and design decisions while embedding with customer teams to deliver end-to-end data pipelines, ML/AI models, and user-facing applications.

You’ll work with Rust or Python, designing hardened sandboxed runtimes, building CLI tools, and implementing tracing/telemetry for distributed systems. Indices is building infrastructure that turns any website into a deterministic, programmable API for AI agents.

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.

Work with Amazon Bedrock, AWS AgentCore, Python, TypeScript, and AI orchestration tools (RAG, prompt engineering, tool/function calling). Deploy and monitor production AI/ML or GenAI workloads on AWS serverless, event-driven infrastructure with CI/CD and IaC. The company builds AI agent solutions.

Amazon★3.5 (56k)· London

You will architect and build a real-time middleware and runtime platform using Rust, C/C++, or Python, integrating industrial protocols like IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, and IO-Link. This platform powers the industrial control systems across AWS Data Centers, connecting industrial hardware to cloud services. As the technical lead, you will own the platform’s architecture, set multi-quarter strategy, and mentor junior and mid-level SDEs.

You will own the C++17+ systems that ingest, process, and store high-rate sensor data from metal 3D printers, serving physics-informed ML inference and 3D insights in production. The work involves Python bindings (via pybind11), WebSockets, CMake, 3D geometry/meshes, and on-premise deployment. Nexus is an early-stage startup building the data and software layers for additive manufacturing of safety-critical parts.

Celigo★4.3 (14)· London

This role uses Celigo's iPaaS platform, APIs, integrations, data flows, and SaaS platforms such as Salesforce, NetSuite,

Own the build, test, and CI flows for the DX-1 accelerator’s software stack (compiler, runtime, simulator, framework integration) using Python, a systems language, containers, Linux, AWS, and metrics stores like Prometheus/Grafana or Datadog. You will manage heterogeneous CI runner fleets and scarce hardware-in-the-loop test resources for a team that includes compiler, runtime, simulator, and modelling engineers.

Netbuilder★3.0 (1)· London

Full-stack developers use Java, Spring Boot, React, TypeScript, Oracle, MySQL, Git, Jenkins, Spinnaker, Docker, and Kubernetes to build, enhance, and support scalable web applications, APIs, and enterprise platforms for NETbuilder, a digital solutions provider.

Design and develop AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. Build backend services with AWS Lambda, API Gateway, Step Functions, DynamoDB, and IaC tools like Terraform or AWS CDK for enterprise multi-agent workflows and production monitoring.

This role focuses on designing, building, and operating enterprise AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. You will implement RAG, tool calling, and multi-agent workflows, developing backend services with AWS Lambda, API Gateway, Step Functions, and DynamoDB. The position also involves establishing production AIOps with observability, monitoring, and CI/CD pipelines using Terraform or AWS CDK.

The Head of AI works with Python, NLP pipelines, LLMs, knowledge graphs, and clinical ontologies like SNOMED CT and ICD. This role leads a team building Dyad's Semantic AI platform combining structured knowledge with generative AI to improve healthcare delivery, with products such as BetterLetter for clinical correspondence processing. The position designs and operationalises the graph-integrated generative architecture for production systems handling unstructured clinical text, including evaluation and compliance frameworks.

Wand is hiring a Senior C++ Reverse Engineer to work with C++, the Windows platform, Unreal and Unity game engines, and disassembly. You will own the game engine SDKs, hooking, and cross-DLL machinery that let the company read game state in real time to power mods, maps, and tools for players across thousands of PC games. This is a senior individual contributor role on the native team.

You will develop AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. You will build and operate enterprise multi-agent workflows with RAG, tool calling, serverless AWS services, and production AIOps. The role involves designing, deploying, and monitoring scalable AI architectures with CI/CD and Infrastructure as Code.