Work with AI/ML systems, prompt engineering, multimodal models, retrieval systems, agent systems, computer vision, and backend services using Go, Python, or C. You will join a small R&D team building a cloud platform that transforms audio and video data into actionable intelligence for commercial clients.

You will work with SQL, Python, DBT, Fivetran, Airflow, Snowflake, Git, and cloud platforms (AWS, Azure, or GCP). The role designs, builds, and maintains scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making. No team size is stated.

You will architect low-latency inference pipelines for multimodal LLMs, TTS, and Vision models using C/C++, Python, PyTorch or JAX, and optimize them with custom CUDA/Triton kernels, TensorRT, and ONNX. The team at this seed-stage AI-native game studio builds intelligent virtual actors that speak, move, and react in real-time for interactive entertainment.

Work with Python, AWS, and Kubernetes to build and maintain custom integrations, API fixes, and SDKs for a voice AI startup. You will support the Forward Deployed Engineering team, managing one-off integrations, platform fixes, and custom builds for enterprise clients deploying large-scale voice infrastructure.

Build features across a Svelte/TypeScript front end and Python back end using FastAPI, Django, PostgreSQL, and AWS. Tab is a YC-backed London travel fintech processing thousands of real-time payments per hour for over 100,000 global tourism businesses in 100+ currencies.

You will work with Python, post-training language models (RL, distillation), and build data pipelines and inference infrastructure. The company is building a Societal World Model to simulate human opinion and influence, enabling Fortune 500 organizations to test strategies against simulated populations.

Use Python (FastAPI/Django) and Svelte with TypeScript to build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Work on AWS cloud infrastructure and real-time transaction processing as part of a profitable, lean team of nine.

Work with Python or Node on backend distributed systems and serverless architectures on AWS, with a smart contract language such as Solidity. The company builds services to accept card payments and grow businesses globally. No team scope is specified.

Senior Machine Learning Engineer working with C++, CUDA, Python, and PyTorch. The role is within an AI technology company developing next-generation machine learning solutions for complex real-world applications.

Harvey Nash★3.8 (49)· London

You will build enterprise-scale applications using Java, Spring Boot, microservices, and front-end technologies (likely React or Angular), with exposure to AI tools and modern DevOps practices. You will join a high-performing engineering team at Harvey Nash, developing large-scale software solutions in a hybrid London-based setting.

Senior Java Full Stack Developer building large-scale enterprise applications for a global financial services firm. You will work with Java and embrace AI-powered development on modern software engineering projects.

A Java Full Stack Developer role building enterprise software and embracing AI-powered development. You will work on large-scale enterprise applications within a global financial services organisation, using Java as the core technology.

You will work with Angular and .NET to build and maintain front-office web applications, migrating legacy systems onto modern frameworks as part of a Markets IT team at a global investment bank.

Senior full-stack role designing and scaling cloud-native applications for a global investment bank’s risk management space. Technologies include Java, Kotlin, React, and AWS. Work involves end-to-end development alongside cross-functional engineering teams.

Harvey Nash★3.8 (49)· London

Lead backend development of enterprise-grade Java solutions for an Investment Bank. Core technologies include Java and server-side development; the role drives architectural decisions for scalable systems and guides development teams on technical strategy and best practices.

You will work with Python, Machine Learning, Go, and Terraform on a large strategic consulting engagement. The current team of 4 software developers is expanding with 2 new hires.

You will engineer robust, low-latency, high-throughput systems using C++ and Python to directly drive trading performance. This role focuses on clean code, optimization, and software architecture's impact on real-world execution.

You will work with Python and SQL to design, build, and maintain data-driven applications. The role focuses on data engineering and integrating with a modern data lake platform.

You will use Python, SQL, and Databricks to design and build enterprise data platforms, developing ETL/ELT pipelines and data integration solutions within a lakehouse architecture.

Develop enterprise-grade software using C#, .NET, Azure, SQL, Angular, MVC, and Docker. You will design, develop, and maintain applications while collaborating with cross-functional teams, performing code reviews, and troubleshooting technical issues.

Work with Python and Django to develop and enhance web applications, supporting system integrations and delivering technology solutions for strategic business objectives as part of a collaborative digital team.

Work with Java, Spring, and AWS on a cross-functional, service-oriented team extending and maintaining Awin's Affiliate Marketing platform. You will design reliable services, write clean, well-tested code, and take ownership of meaningful engineering challenges.

You will work with TensorFlow, PyTorch, Hugging Face, and generative AI models, focusing on ML infrastructure and model deployment. As Manager, Applied AI Engineering at Google DeepMind, you lead a team developing and deploying novel generative AI applications, translating research into real-world products.

Nomura★3.9 (502)· London

Develops and maintains proprietary algorithmic trading systems in Java for equity markets, using CI/CD, distributed systems, message-oriented and event-driven architectures. The team works with Quants to bring new trading strategies to market on a global, multi-asset platform that handles significant client order flow daily.

Principal Engineer role working with Python, AWS, and Kubernetes on an AI-powered FinTech platform that transforms data infrastructure and workflow automation for global financial markets. This first Principal hire will create technical solutions across teams and report to the VP of Engineering.