Monzo★3.5 (108)· London

You will work with LLMs, autonomous agents, RAG, sequence-based architectures, Python, SQL, and Go, developing and deploying machine learning models in production. You’ll lead the design of a human-in-the-loop system that predicts, identifies, and routes customer problems to scale support for Monzo’s banking products across multiple geographies.

Samsara★3.6 (32)· London

Samsara interns work on the Connected Operations Cloud, building backend infrastructure in Golang, web clients with TypeScript/React and GraphQL, mobile with React Native, or embedded software for IoT devices. Projects involve scaling data ingestion, real-time data processing, and creating actionable insights for industries like transportation and agriculture.

Cint★3.5 (13)· London

Use Python and SQL for statistical modeling and machine learning to optimize Cint's programmatic research marketplace (Cint Exchange). You will analyze marketplace dynamics, conduct A/B tests, and build predictive models to guide product and pricing strategy.

Lead the Integrations team connecting Yuno’s payment platform to PSPs and gateways globally. You’ll work with Java, Golang, Kotlin, SQL, microservices, event-driven architectures, APIs, and AI-assisted coding tools like Claude Code, shaping scalable, secure payment infrastructure.

Develops expert-level knowledge of Enterprise Java applications to debug and resolve critical production issues. Acts as a subject matter expert for specific modules within Aera Technology's AI-driven Decision Intelligence platform for enterprise automation. Collaborates cross-functionally with customer engagement and development teams to diagnose root causes and propose code fixes.

You'll work with time-series data, supervised and unsupervised ML, CI/CD, version control, and tools like Claude Code, MLflow, and cloud platforms (Azure, AWS, GCP) with MongoDB. Ceto provides operational intelligence for maritime, analyzing ship data to predict mechanical failures through anomaly detection and degradation forecasting.

You will work with Python, LangGraph, CrewAI, OpenAI/Claude Agent SDKs, AWS Bedrock, ECS Fargate, Lambda, Step Functions, and LLMs like GPT, Claude, and Perplexity. You will design and evolve multi-agent systems and LLM pipelines powering a production-grade AI-powered brand analytics platform that helps businesses understand market positioning.

You will work with Python, TypeScript, LLMs, agentic workflows, Claude, Claude Code, MCP, and APIs. The company’s live AI product is a step change for a UK industry; you’ll build systems that power the commercial team’s sales and marketing automation. This is an early-stage AI-native startup with a revenue-generating product and an enterprise pilot.

Google★4.3 (6.2k)· London

You'll develop in C++, Python, or Rust, building the Google Cloud Universal Ledger (GCUL), a cutting-edge payments platform addressing cost, speed, and fragmentation in financial systems. You'll implement low-latency features, including cryptography like homomorphic encryption and zero-knowledge proofs, while owning code for consensus, transaction dissemination, and finalisation.

Hudson River Trading★4.5 (2)· London

Software engineering interns work with Python, C, or C++ on independent programming projects and gain hands-on exposure to HRT's algorithmic trading research and infrastructure.

Hudson River Trading★4.5 (2)· London

You will write and maintain critical trading infrastructure using C/C++ or Python on Linux, working closely with engineers who design trading algorithms in a fast-paced, real-time environment. The role is with Hudson River Trading, a firm that brings a scientific approach to trading financial products.

A Genomic Data Scientist will use R, Python, and Nextflow to analyse whole genome sequencing and multi-omics data (e.g., long read sequencing, single cell transcriptomics). Working within the Bioinformatics Consulting team, the role involves developing and executing projects for drug target identification and biomarker discovery, leveraging Genomics England’s datasets.

Hudson River Trading★4.5 (2)· London

You will work with Python, Pandas, NumPy, R, and MATLAB to apply statistical analysis and machine learning to vast quantities of market data. The team builds and maintains predictive trading models for the company's high-performance trading infrastructure. You will research, develop, and test order execution methods to increase trading efficiency.

Hudson River Trading★4.5 (2)· London

You will use Python, C++, Pandas, NumPy, R, or MATLAB to build and maintain predictive trading models. As an algorithm developer, you research and test novel order execution and model training methods, applying

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

Morgan McKinley★3.8 (45)· London

You’ll work with modern Java, JVM internals, Linux, low-latency messaging (Aeron, Chronicle Queue, Kafka, ZeroMQ), Netty, SBE, FIX/FIXP, and profiling tools to build event-sourced microservices for FX and cash equities electronic trading. The employer is a technical vendor handling mission-critical engagements for a tier-1 client’s trading desks. No team size is stated.

Build and scale Nxera Pharma’s computational drug discovery platform, working with Python, AWS, Docker, Prefect, GitHub Actions, Terraform/CDK, PostgreSQL, and Linux. You'll develop backend services, cloud infrastructure, CI/CD pipelines, and workflow orchestration alongside computational chemists and ML engineers. No team size is stated.

Build and iterate on full-stack product surfaces and core infrastructure using modern AI tools, LLM orchestration, and multi-step reasoning systems. You will work directly with founders at a stealth-stage fintech that builds an AI-native observation layer for institutional investors.

You will use SQL, Python, BI tools (PowerBI, Looker, Tableau, etc.), and spreadsheets. As a Data Analyst on the Fraud team at Moniepoint, an all

You will develop and refine LLM agents, working with agent scaffolding and internal benchmarks. Mantic builds AI systems that outperform human superforecasters in predicting geopolitical, economic, and technological events.

You will work with KDB+/q to design and optimize applications for real-time market data and build scalable infrastructure for research, analytics and trading workflows. You'll join a leading global hedge fund, partnering with Quantitative Researchers and Portfolio Managers to develop systems that directly impact investment processes.

Work with advanced Python, large complex datasets, and a proprietary technology stack including high-performance trading systems and data platforms. As a Quantitative Researcher, you will lead independent research to discover and deploy alpha-generating systematic investment strategies across global equity markets.

Uses Python, SQL, Pandas, NumPy, SciPy, Scikit-learn, PyTorch/TensorFlow, Git, Linux, and cloud computing. Researches and develops alpha signals, systematic strategies, and portfolio construction for global equity markets at a systematic trading firm.

Python, PyTorch, Ray, distributed systems, cloud and GPU infrastructure. You will build platforms and services supporting ML training and deployment, develop tooling for data processing and model lifecycle, and maintain distributed systems for a well-funded AI company.

Design AI-powered services using Python, LangChain, LangGraph, Pydantic, and Azure OpenAI with Azure AI Search. The role builds and optimizes LLM integration, RAG patterns, and pipelines to enhance employee experience in HR technology. No team size is stated.