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.

Infosys★3.8 (17k)· London

Lead Consultant role at Infosys, based in the Netherlands, working with .Net and WPF technologies. The listing focuses on Infosys’ corporate culture and career growth rather than a specific project, team size, or product details. No additional technical tools, project scope, or team leadership specifics are provided.

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.

Work with modern component-oriented front-end frameworks/libraries, Azure, CI/CD pipelines, and test automation. Lead the Digital technical leadership team of a UK financial services company building digital products for retirement, investment, and protection needs. Mentor and coach other engineers as a specialist in UI/UX, accessibility, and front-end performance.

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'll work with AI agents, LLMs, test frameworks, CI tooling (GitHub Actions), and observability stacks (Datadog, Sentry, Grafana) to automate quality across Lendable's fintech credit products. The role enables cross-functional product teams to maintain high quality through hands-on coding, AI-assisted test authoring, and shift-left practices.

Senior Quality Engineers will build AI Agents, test frameworks, CI tooling and helpers using LLMs and AI tooling, working with GitHub Actions and observability (Datadog, Sentry, Grafana) across an AI-assisted testing function. The team defines Lendable's test pyramid, improves E2E automation, and partners with product and engineering to shift quality left across credit products.

You'll work with Java (8, 17, 21), React/TypeScript (or Angular/Vue), and REST APIs to sustain current environments and deliver new capabilities across full-stack development. You will also mentor less experienced engineers through code reviews and technical guidance.

Glasswall★0.0· London

You'll work with C++, C#, Python, Assembly, and tools like static/dynamic analyzers, debuggers, disassemblers, detonation chambers, and agentic AI. As a Senior Security Researcher on a small team, you'll investigate threats to Glasswall's Content Disarm and Reconstruction technology through vulnerability research, penetration testing, and malware analysis.

You will lead the Risk Modelling pillar, architecting ML systems for financial crime detection using deep learning, GNNs and LLMs. Your team builds the automated model lifecycle—from experimentation to production deployment—operating at 100K requests/minute under 50ms latency. You will recruit and lead a team of Senior ML Systems and Applied ML Engineers.

Fitch Group★4.5 (4)· London

You’ll work with Kubernetes, Docker, AWS, Azure, Datadog, GitHub Actions CI/CD, AWS Bedrock/SageMaker, and script in Python, PowerShell, or Bash. The role embeds within Fitch

Tech Lead role using Java, Kotlin, Python, JavaScript/TypeScript, Spring, and Node.js to build cloud-based digital banking solutions. The consultancy helps clients build, launch, and run digital banks. You lead a team of engineers, contributing to system architecture, coding, and strategic decisions.

You'll work with AWS CDK, Kubernetes on EKS, CircleCI/GitHub Actions, Lambda, ECS, Redshift, RDS, Kafka, Flink, Redis/Valkey, Datadog, and TypeScript/Python/Bash. The Platform Engineering team builds the tooling, automation, and infrastructure that development teams use to build, deploy, and run software on Sparta's commodity trading platform.

You will design, develop, and productionise optimisation algorithms and decision-support tools using Python, Java, and/or Rust, employing MILP, metaheuristics, stochastic programming, or reinforcement learning. The role involves building cloud-deployed CI/CD, containerised, and orchestrated solutions for transportation, logistics, workforce scheduling, and media planning as part of cross-functional product squads. You will act as a senior technical lead, mentoring peers and driving engineering standards.

PlayStation★3.8 (164)· London

Design, build, and optimize data ingestion, transformation, and enrichment pipelines using SQL, Snowflake, Python, and REST APIs. You will join the Security Data Analytics team at PlayStation, developing data products and pipelines that help Information Security teams understand security posture and risk trends. This is an individual contributor role; no team size is stated.

Luxoft★4.5 (669)· London

Lead the architecture of production-grade LLM orchestration and multi-agent systems using LangGraph or LangChain, working with Python (asyncio, FastAPI), TypeScript (Next.js/React), AWS (ECS Fargate, Lambda, SQS, Aurora, Neptune), and AWS CDK or Terraform. The team is developing an Agentic AI solution to generate investment insights from sales and research materials for client meetings.