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.

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.

Allwyn UK★3.4 (8)· London

AWS, Terraform, Ansible, GitHub Actions, Python, ECS, Fargate, Docker, Lambda, API Gateway, DynamoDB, EventBridge, AppDynamics, Grafana, Control-M, NodeJS, Java, JIRA, Confluence, and Azure. As a senior on the Allwyn UK team, you design and manage automation and monitoring platforms for the National Lottery system to support applications and services.

Allwyn UK★3.4 (8)· London

You will work with AWS, Terraform, Ansible, GitHub Actions, Python, Docker, ECS & Fargate, serverless technologies, and monitoring tools like AppDynamics, Grafana, and Logz.io. This senior platform-automation role builds and manages CI/CD, monitoring, and infrastructure to support Allwyn UK’s National Lottery operations.

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 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.

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.

Build and maintain frontends with React and TypeScript, backend services in Python or Node.js, and optimize data pipelines for a database of 9M+ clinician profiles. You'll architect AI-driven matchmaking systems connecting pharma companies with medical experts at G LNK, a YC W25 healthcare commercial intelligence platform.

Work with Vue.js, React, or Angular, JavaScript, HTML/CSS, and Figma. You will implement features and build reusable UI components for TransPerfect's TechOps team, which delivers workflow tools and client interfaces for the GlobalLink platform.

You'll build end-to-end features for &Dine's food marketplace using Vue.js/Nuxt.js, Node.js, TypeScript, MySQL, Docker, and AWS. The platform connects independent Makers with customers seeking handmade food. You'll be part of a lean engineering team of four, owning from design to deployment and mentoring junior engineers.

Full Stack Python Developer using Python and Claude Code to build solutions for a leading consultancy client. This fully remote six-month contract requires US/UK candidates working Eastern Time hours.

The role involves developing Salesforce Lightning and Force.com solutions using Apex, SOQL, and JavaScript, with object-oriented programming in Java or C#. Git, Jira, IntelliJ, CI/CD, and Salesforce REST APIs are also mentioned. The position is with Hackajob Ltd, but the listing gives no details on the product or team.

You will work with Nest.js, TypeScript, Angular (v20), Ionic, and Azure CI/CD. As a senior full-stack individual contributor, you’ll build and maintain the ZigZag Puppy Training mobile app (iOS and Android) and help raise the bar on backend systems, APIs, and data-driven product development.

You will architect pipelines with Spark, Airflow, Kafka, PostgreSQL, MongoDB, and vector databases (Qdrant, Milvus, pgvector) using Python. As the first senior data hire at an early-stage AI company, you lead design of data infrastructure for real-time AI inference. You will build and eventually lead your own data engineering team.

Founding Backend Engineer role at a VC-backed collaborative AI startup. You will architect infrastructure for an agentic collaboration platform, owning backend systems using TypeScript, Node.js, and PostgreSQL, and building real-time workflows for enterprise clients.

Lead, coach, and mentor engineers using Java and JavaScript frameworks. The client is a healthcare provider building modern, scalable products to deliver world-class patient experiences across the UK as part of a digital transformation.

You will build interactive 3D subsurface visualizations using WebGL/Three.js and collaborate with the ML team to integrate explainable AI models. The role involves owning the user experience for a subsurface mapping platform that helps global mining leaders make drilling decisions. You will be the first product engineer at Material Difference, a venture-backed Cambridge University spin-out.

Product Engineer role working with TypeScript and Python, owning full-stack feature development from database schema design (Postgres) to frontend interactions. You’ll build tools enabling Fortune 500 organizations to test strategies via large-scale AI simulations, collaborating directly with the CTO and CPO.

Build full-stack products from scratch using TypeScript, React, Node.js, Python, JavaScript, SQL/NoSQL databases, Google Cloud, and AI/ML/LLM tooling. The ITO builds proprietary AI infrastructure, consumer/enterprise digital products, and the data/intelligence layer for Steven.com's creator-economy operating system. You will work directly with the VP of Engineering and product leaders on features and strategy.

You will work with Python, SQL, Pandas, Snowflake, Elasticsearch, Docker, Kubernetes, Airflow, Spark, and Apache Kafka to build and maintain thousands of data ingestion pipelines and monitoring platforms. These systems feed investment decisions and model the fund’s view of the financial world.