You'll work with Python, NumPy, SciPy, Pandas, PyTorch, JAX, and deep learning frameworks to build models using operator learning, geometric deep learning, or generative models. PhysicsX is building an AI-driven simulation software stack for multi-physics engineering and manufacturing across aerospace, energy, and other advanced industries.

You’ll build core features across backend, frontend, and infrastructure using Python, TypeScript, cloud infrastructure, event-driven systems, and third-party integrations. The company is an early-stage startup creating AI voice agents for real business customers. No specific team size is stated.

You will work with Java 8+, SQL, Spring Boot, Hibernate, microservices, RESTful APIs, and front-end technologies (HTML, CSS, JavaScript) on a multi-tenant payment and Banking-as-a-Service platform. Edenred PayTech powers payment, benefits, fleet mobility, and embedded finance solutions for a global e-money institution.

Work with Java and/or Python to support the design, development, and maintenance of scalable applications. You will join the front-office engineering team of a fintech firm to help deliver high-impact, revenue-facing systems used by traders and product teams.

You will work with PHP, MySQL, HTML5, CSS, JavaScript, jQuery, React, Next.js, Laravel/Symfony, DevOps/CI/CD tools (Jenkins, Bamboo), Docker, and AWS. The team creates experiences through data and media management and data analytics engines, working on complex development for both industry-leading companies and startups.

Bloomberg★3.8 (1.1k)· London

You will work with Go and C++ on Vitess, MySQL, MyRocks, and RocksDB, alongside Python for automation and analysis. Your team builds Bloomberg’s distributed OLTP storage platform, operating over 10,000 MySQL shards to serve critical financial data with low latency.

Develop React applications using TypeScript and Node.js, running on Azure AKS with Azure PostgreSQL. Work with Terraform and Harness CI/CD pipelines, integrate RESTful APIs, and create end-to-end automation tests with tools like Selenium or Playwright.

JPMorgan★3.9 (20k)· London

Work with KDB, Q, AWS, and optionally Terraform, Kubernetes, Python, C, C++, or Java. Develop and maintain applications storing large Options data sets for real-time and historical access within JPMorgan’s Equities Trading Data & Analytics team, migrating to AWS and re-architecting systems.

Wise★3.5 (42)· London

You will work with Java, Spring Boot, AWS, Apache Kafka, and potentially Trino. The Pricing Core team builds and maintains the main pricing platform that enables Wise to price its products, processing over 100 million requests daily across critical paths.

You'll work with Python, SQL, Snowflake, and dbt to transform and model data, build data workflows, and automate processes. This role sits on the Python Infrastructure team at Lendable, a fintech building technology to help people get credit and save money.

Work with Snowflake, dbt, Python, and SQL to transform and model data, build data workflows, and automate processes. You’ll join the Python Infrastructure team at Lendable, a fintech building credit and savings products.

Lovable★4.0 (43)· London

As the first data scientist in Lovable's new London growth team, you'll own the growth funnel end-to-end and work directly with growth engineers to ship experiments. You'll use SQL, Python, BigQuery, PubSub, Hex, and A/B testing on GCP, building the metrics and systems that drive acquisition, activation, retention, and expansion.

You'll work with Python, SQL, Snowflake, and dbt to transform and model data, build data workflows, and automate processes. The role sits on the Python Infrastructure team at Lendable, a fintech company rebuilding consumer finance products like loans, credit cards, and car finance.

Design and build scalable data pipelines using Python, Scala, Spark, PySpark, Azure Data Factory, Databricks, and Delta Lake. You’ll develop reusable platform components and templates that enable data scientists and engineers across product teams (Forecasting, Recommendations, Marketing, etc.) to deliver high-quality, production-ready data solutions.

Post-train, fine-tune, and distil frontier language models using RL, distillation, and reward design in Python. Build production-grade simulation systems that model thousands of individuals in real-time for a Societal World Model at a YC-backed startup.

You will work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. Tab is a YC-backed London startup building a high-scale payments and discovery platform for independent tourism businesses. You will be one of the first developers on a lean, profitable team of nine.

You’ll work with Python, FastAPI, TypeScript, React, and GCP. Electric Twin builds a behavioral simulation platform that creates “digital twins” of real populations, helping organizations test decisions with 95% accuracy.

You'll work with Python (FastAPI/Django), Svelte/TypeScript, and AWS to build features across a payments and discovery platform. Tab is a YC-backed travel fintech enabling 100,000+ global tourism businesses to accept payments in 100+ currencies.

Allianz★3.8 (3.4k)· London

You'll build production data/ML systems using Python, Docker, Kubernetes, Terraform, Azure, Azure DevOps or GitHub Actions, plus SQL, PySpark, dbt, and Microsoft Fabric. Joining a small agile team, you'll deliver real-time API endpoints serving 10M+ daily requests and evolve cloud infrastructure and

Build and scale distributed infrastructure on AWS using Pulumi for high-performance AI model inference. Develop end-to-end features across TypeScript/React frontends and Python-based agents for automating complex workflows in aerospace and healthcare.

You'll build core AI systems with FastAPI, TypeScript, React, LLMs, and voice interfaces, plus own infrastructure, observability, and evaluation frameworks. Fleetcraft is a London aerospace startup creating AI infrastructure for aircraft maintenance and manufacturing, with you shaping the technical roadmap end-to-end.

Work with Python, PostgreSQL, React/TypeScript, LLMs, prompt engineering and OpenAI evals to build production-ready algorithms and evaluation pipelines. As a founding AI engineer, you will develop proprietary AI for patent generation, delivering efficiency gains to 400+ global IP teams.

Develop novel machine-learning methods for molecular and protein discovery, using Python, PyTorch, graph neural networks, transformers, and diffusion models. Working at a life science technology company, the role involves research with engineering proximity, translating ideas into practical tools for scientific discovery. Preferred experience includes 3D and geometric deep learning, molecular generation, and protein modelling.

You will work with Python, PyTorch or JAX, Docker, CI/CD, and cloud platforms to deploy ML models for protein design. The team builds scalable infrastructure for training, inference, and evaluation across molecular and protein datasets, taking research prototypes into production.

You will build and optimize multi-agent AI systems using Python and LLM orchestration tools like Temporal or LangChain, plus observability and data pipelines. Tuza is a London fintech creating AI agents that automate manual banking workflows for partners like Worldpay and NatWest.