Work with Python (C++, Rust, or Go for latency-critical paths), AWS, Terraform, PostgreSQL/TimescaleDB, Kafka, Redis, ClickHouse, and Grafana/Prometheus/Loki. You own the production infrastructure for a stealth systematic trading and AI research lab building low-latency decision engines that operate in live markets.

LMAX Group★0.0· London

Develop high-performance data pipelines and real-time streaming systems using Python, Terraform, Ansible, Kubernetes, Kafka, and SQL. You will build and scale data infrastructure to support business intelligence initiatives for LMAX's Forex and digital currency trading platforms.

S&P Global★3.9 (1.7k)· London

Work with SQL for querying, validating, and analyzing data; Python or a complementary language; cloud-based infrastructure (preferably Databricks); and data visualization tools like Power BI or Tableau. You will develop scripts and automation to validate data, resolve discrepancies, and improve data quality for the Ratings Data Center of Excellence at S&P Global Ratings.

Allwyn UK★3.4 (8)· London

This role delivers security testing across web applications, REST APIs, backend services, cloud-hosted workloads (AWS and Azure), and internal infrastructure using tools like Burp Suite, Kali Linux, Nmap, Nessus, and Wireshark. The position supports Allwyn UK's transformation of The National Lottery to increase funds for good causes.

Allwyn UK★3.4 (8)· London

You will conduct hands-on security testing across web applications, REST APIs, backend services, AWS and Azure cloud platforms, and internal infrastructure using Burp Suite, Kali Linux, Nmap, Nessus and Wireshark. Your work supports Allwyn UK’s National Lottery, ensuring vulnerabilities in its applications and cloud-hosted workloads are identified, validated, remediated and retested. This role sits within a team delivering security testing for a high-availability, transaction-critical national lottery system.

Microsoft★4.2 (9k)· London

Lead a multidisciplinary engineering team delivering production-ready, AI-powered solutions directly within customer environments. Leverage LLMs, cloud AI platforms, prompt engineering, and retrieval-augmented approaches to solve complex organizational challenges. Manage a portfolio of engagements, coaching engineers across software, data science, and program management.

You will work with Rust, Python, Java, Go, C++, and a distributed systems stack involving edge computing, low-bandwidth radio links, and air-gapped networks. This company builds AI software that turns unstructured sensor data into real-time intelligence for semi-autonomous platforms. You will set technical direction across multiple teams.

You'll work with TypeScript, Python, Playwright, Cypress, WebdriverIO, Node.js, Docker, and GitHub Actions/GitLab CI to build and maintain test automation frameworks and CI pipelines for Connected TV devices. You'll join FX Digital's Quality Engineering team, taking ownership of automation platform pieces and mentoring junior engineers—no prior TV experience required.

Meta★4.0 (1.1k)· London

Business Support Engineer supporting Meta's Business Agent, an AI platform helping businesses boost productivity. Work with Python, PHP/Hack, JavaScript/React, REST APIs, SQL, PyTorch, Llama and other LLMs, plus cloud infrastructure (Kubernetes, Docker). Provide engineering support, troubleshoot distributed systems, and build AI solutions from prototype to production.

You'll work with Java, Python, JavaScript and Agile methods to design, build and test software. The Engineering Platforms team delivers a modern software development tools chain for engineers across NatWest Group.

You'll work with React, TypeScript, and Python (or Node.js) to build AI-driven matchmaking systems connecting pharma with medical experts. The platform processes 9M+ clinician profiles and billions of records, automating healthcare commercialization workflows for global drug development at G LNK (YC W25).

Houseful★0.0· London

You will work with Databricks, DBT, Fivetran, Python, SQL, AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform, Kafka, ECS, and Kubernetes. You will scale the data lakehouse powering analytics and AI, build infrastructure for data commercialisation products, and create reusable building blocks for engineering teams.

UST★3.7 (1k)· London

You will architect, build, and scale enterprise-grade, cloud-native AI services and platforms using Azure/AWS/GCP, LLMs, RAG, microservices, APIs, and CI/CD pipelines. You will define the engineering vision and roadmap for UST’s AI offerings, transitioning capabilities from PoC into production-ready, modular, and commercially viable products. You will lead a large, cross-functional engineering organization.

Microsoft★4.2 (9k)· London

Lead a multidisciplinary engineering team using AI and LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, cloud AI platforms. The team operates in a Forward Deployed Engineering (FDE) model, embedding with customer teams to build production-ready solutions. No team size specified.

IFS★3.8 (14)· London

Lead/Senior Software Engineer will work with Large Language Models (LLMs), agentic AI, and cloud-native technologies to build production AI systems. The role involves designing, building, and evolving enterprise software within the Enterprise Asset Management team, applying AI to solve complex customer problems at scale.

Work with Snowflake data architecture, SQL, Python pipelines, RESTful APIs, the Microsoft Power Platform, React front ends, and, optionally, ServiceNow, Workday, and Azure services. The Data and Applications team builds analytics, AI-powered tools, and data infrastructure for PJT Partners, a global advisory-focused investment bank.

Build backend databases in SQL Server and Azure, build machine-learning models in Azure, Microsoft Fabric and Alteryx, and develop front-end apps using Python, SQL, C#/.NET and JavaScript for the SMDAM Private Markets team. The role drives private credit data infrastructure end-to-end, extracting insights from text to power deal-sourcing and monitoring across the entire private credit lifecycle.

Work with AWS, Docker, Kubernetes, CI/CD pipelines, infrastructure-as-code, and Python/Go/Ruby/JavaScript. You will support Digital Engagement products and help build the AI Platform at SBS, a global fintech partner for banks and financial institutions.

You will work with Java, SpringBoot microservices, Linux, OpenShift, Gradle, Git, CI/CD, and Docker/Podman. The Technology Application Strategy team builds productivity and tooling solutions to streamline workflows for Citi’s global developer community.

You will use Python, REST APIs, and cloud platforms such as AWS, Kubernetes, Docker, and Helm. As part of the Risk team at a tech-driven quantitative investment manager, you will build and deliver solutions for Risk Management and Trading desks.

You'll work across the Flights team, using Python, Kotlin, TypeScript, GraphQL, Kafka, AWS, and Docker to build a seamless global travel booking platform. The team manages core platform reliability, self-serve post-booking, booking error recovery, and airline inventory scaling. This is a staff-level role whose scope is not further defined.

Work with Java, Spring Boot, React/Angular, RESTful APIs, microservices, Kafka or RabbitMQ, CI/CD, and AI-assisted engineering tools to lead software implementation for Vodafone's cloud-native digital products and platforms. This senior hands-on role guides engineers

You will develop neuro-symbolic AI architectures for Project SENTINEL, an Innovate UK grant-funded initiative building provably safe guardrails for autonomous systems. Your daily work involves Python and ML libraries (PyTorch, TensorFlow, scikit-learn) to design deep learning models, NLP systems, and scalable ML pipelines for production deployment.

You'll work with Python, FastAPI, TypeScript, React, and GCP to design services, data models, and APIs. Electric Twin builds a behavioral simulation platform that creates "digital twins" of populations to predict human behavior, already used by major organizations. You'll join a high-caliber team of 17, owning complex systems from design to deployment.

Research Engineer role at Electric Twin, a London AI company building LLM-powered synthetic populations for behavioral prediction, using technologies like chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI. You'll design memory systems and decision-making frameworks within the Science team, running experiments to validate agent behavior against real-world data.