You'll work with Python, FastAPI, TypeScript, React, and GCP to build services, data models, and APIs for a behavioral simulation platform that creates "digital twins" of populations. The team of 17 at Electric Twin is building this platform to help organizations predict human behavior with 95% accuracy.

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 develop real-time object detection, multi-target tracking, and sensor fusion algorithms using Kalman filters, deep learning, and data from EO/IR cameras, radars, and IMUs. You will interpret sensor ICDs and deploy perception software on SWaP-constrained airborne platforms, collaborating with autonomy and integration teams for Hivemind-powered unmanned aircraft operating in contested environments.

You will design and train custom deep-learning models and fine-tune large language models using Python, TensorFlow, or PyTorch. The work involves leading research for Kangal AI, a venture building frontier AI for governments and security clients. You will own the entire model stack and scale a research team as a founding hire.

Work with Go, Rust, Python, Java, or C++ and headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer) to build large-scale web crawlers and data pipelines. The team develops infrastructure for acquiring massive amounts of public web data to train AI models, operating a distributed crawler via a bandwidth-sharing network and processing billions of videos, transcripts, and audio files.

Work with Python, Java, C++, TensorFlow, Keras, PyTorch, and optionally NLP, computer vision, and cloud platforms (AWS, Azure). The role at Demo Co. involves developing and implementing AI models and algorithms, integrating AI solutions into existing systems, and conducting research to enhance AI application performance.

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

Google★4.3 (6.2k)· London

Work with Python, Java, Go, C or C++, large language models, prompt development, and conversational AI frameworks. As an AI Solutions Deployment Manager on the Google Cloud Consulting Professional Services team, you guide customers through their cloud journey and help deliver agentic AI solutions for Google’s most strategic global clients.

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.

Lead Java Developer (Contract) role using Java 17+, Spring, Spring Boot, Azure, containerisation, serverless tech, Terraform, and Python. Building enterprise-quality optimisation and ML solutions for field operations. Leading development, API design, and tech decisions.

WPP★3.7 (378)· London

Lead Java Developer role at WPP's Satalia building a new logistics optimization platform using Java 17+, Spring, Spring Boot, Azure, serverless and containerized tech, Terraform, and some Python, with API design and tech selection duties. The team develops optimization and ML-based enterprise solutions, and the role leads a development team.

Microsoft★4.2 (9k)· London

You'll work with languages including C, C++, C#, Java, JavaScript, or Python and cloud AI platforms (Azure ML, OpenAI) to build production-ready systems. As a Forward Deployed Engineer, you'll embed with UK Defence and Intelligence customer teams, solving their toughest challenges with a security-first mindset.

Lead Software Engineer role building autonomous and AI-driven systems for national security at a London defence AI start-up. Work involves Python, Java, C++, Rust, Go, TypeScript, and scalable distributed systems, with hands-on architecture and mentoring. The engineering team is small and high-calibre.

Senior engineers at Great Yellow design and own data pipelines (ETL, dbt, SQL) and write production code in a Cloudflare-native TypeScript/React monorepo. The team builds the data and software platform that powers a system for making regenerative land-use investable and scalable.

You'll work with TypeScript, React, Node.js, Python, JavaScript, SQL/NoSQL databases, and AI/ML tools including LLM-based APIs. Steven.com builds an operating system for the creator economy, and you'll ship end-to-end features across internal and external products.

You will work with Python, TensorFlow or PyTorch, and large language models, building custom deep-learning models and training/fine-tuning LLMs on a proprietary dataset. Kangal AI builds frontier AI for governments, national security, and private corporations. As a founding hire, you will own the model stack and scale the research into a team you lead.

Work with Python, Java, or C++, and AI frameworks like TensorFlow, Keras, or PyTorch to develop and implement AI models and algorithms. You will solve real-world problems, integrate AI into existing systems, and research performance enhancements for cutting-edge AI applications at Demo Co.

This role involves building data pipelines, Snowflake data models, and automation using SQL, Python, Java, or R, with practices like version control and CI. The engineer joins Sony Interactive Entertainment's Security Data Analytics team, supporting Information Security with analytics-ready data and AI-enabled workflows.

Build and lead development of high-performance Java applications for FX risk management, using AI tools (GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces with Gemini/OpenAI/Claude/Llama) and modern DevOps (Docker, Kubernetes, OpenShift, CI/CD). The greenfield platform is 3 years in production with a 10+ year strategic commitment.

You'll work with enterprise Java, Oracle, Hadoop, Elasticsearch, and LLMs (e.g., Llama, ChatGPT) while re-architecting a tier-one financial institution's core mission-critical workflow engine, integrating AI and intelligent automation to scale from hundreds to thousands of concurrent users. You'll also lead architectural design, mentoring, and automated testing across the platform.

You'll lead a 6-7 person team owning core ML infrastructure—distributed model training, LLM hosting/fine-tuning, and scalable deployment—using Python heavily with working C++/Java, at a top systematic quant fund. This hands-on engineering manager role drives ML into high-stakes production systems.

You'll work with Python, Jax, TensorFlow, and other ML frameworks to build and maintain training/inference infrastructure. The team drives the ML platform for a tech-centric prop trading fund that trades a broad range of financial products globally.

Develops production machine learning and generative AI solutions using Python, PyTorch, TensorFlow, Scikit-learn, and XGBoost on AWS (SageMaker, Lambda, S3) with MLOps/LLMOps tools (MLflow, LangChain). The team delivers AI systems for UK national security, defence, and government clients.