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.

Use SQL, Python, and AI tools to extract and analyze large data sets on private markets and alternative investments. Work with Product and Machine Learning teams to develop data extraction from unstructured text like PDFs. The company automates alternative investment data processes for institutional investors.

Staff Product Designer will own the shared chat design system in Figma for web, iOS, and Android, and design AI assistant interactions end-to-end, prototyping in code. They will work with engineering, content design, and product teams to architect the Wise Assistant, the AI-native chat interface at Wise, a global money-transfer company.

Work with Python, PyTorch, Scikit-learn, Hugging Face, MLFlow, AzureML, and CI/CD/MLOps tools like Azure DevOps, Docker, and Kubernetes. The Applied AI team builds production LLM-powered systems, agentic AI, and ML pipelines for Glasswall’s cybersecurity solutions. No team size is stated.

Capgemini★3.7 (11k)· London

Lead a team of AI Engineers, Data Scientists and ML Engineers architecting and deploying enterprise-grade AI and Generative AI solutions using cloud-native technologies, LLMs and GenAI frameworks. The role drives the AI/GenAI roadmap for Capgemini's Insights & Data practice, overseeing end-to-end project delivery and establishing best practices for model governance.

Tech Lead role at a boutique financial services consultancy building digital banking solutions. Leads a team of engineers using Java, Kotlin, Python, JavaScript/TypeScript, Spring, and Node.js, with hands-on coding, system architecture, and cloud-based applications.

You will work with SailPoint IdentityIQ, Java, Active Directory, Azure AD, LDAP, Workday, Fieldglass, SAML, OAuth, and SCIM. You will join AIG’s Identity and Access Management team, designing and maintaining enterprise IAM infrastructure for the global insurance company. No team size is stated.

Fitch Group★4.5 (4)· London

Service Reliability Engineers embed with Fitch Ratings development squads, using AWS, Azure, Kubernetes, Docker, GitHub Actions, Datadog, and AWS Bedrock/SageMaker. They drive reliability, observability, and AI-enabled operations for mission-critical services, focusing on new AI development and cloud infrastructure automation.

You'll work with AWS, AWS CDK, Kubernetes/EKS, Lambda, ECS, CircleCI, GitHub Actions, Redshift, RDS, Kafka, Flink, Redis/Valkey, Datadog, and scripting languages like TypeScript, Python, or Bash. Sparta is a commodity trading platform; its Platform Engineering team owns the tooling, automation, and infrastructure that developer teams use to build, deploy, and run software.

You will work with Go, Rust, Python, Java, C++, headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer), proxy systems, and distributed systems. The team builds infrastructure for massive web data acquisition and operates a distributed crawler via the Grass bandwidth-sharing network, powering dataset creation for AI model training.

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.

You will work with Oracle (Exadata Cloud, Autonomous, 11g/12c/18/19c, RAC, ASM, Data Guard), PL/SQL, Python, Bash/KSH, Ansible, Java, Oracle APEX, Git/Stash, JIRA, RMAN, and data pump. The Global Database Engineering Team manages Deutsche Bank’s relational database platform and builds automation to keep business systems operational.

You will lead a team of Senior ML Systems and Applied ML Engineers, building the automated model lifecycle platform for financial crime detection using deep learning, ML systems, and production infrastructure. Your team owns the end-to-end engineering of models that operate at 100K requests/minute under sub-50ms latency.

You'll work with GitLab, Artifactory, Ansible Automation Platform, Kubernetes, ArgoCD/Flux, and cloud-native technologies. As a Principal Engineer in the Engineering Platforms team, you’ll deliver a modern software development toolchain for over 25,000 colleagues across the bank, coordinating multiple feature teams and defining architecture for end-to-end automation and scalability.

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.

You'll build Android apps using Kotlin, Jetpack Compose, Koin, and Kotlin Multiplatform Mobile, with GitHub Actions, Firebase Crashlytics/App Distribution, Amplitude, Braze, Stripe, and server-driven UI. You'll join a newly established cross-functional team at Blue Light Card, working on greenfield projects after a serverless replatforming to redefine the member app experience.

You will work with Kotlin, Java, Python, or TypeScript on AWS (Lambda, ECS, EKS), using AWS CDK, Terraform, Kubernetes, Datadog, Kafka, Flink, Redis/Valkey, RDS, and Redshift. This role is a 50/50 backend and reliability engineering split on Sparta’s commodity trading platform, building distributed services for real-time market data and owning production observability and resilience.

You'll design, build, and operate production AI/ML applications using Python, Generative AI, LLMs, RAG, agentic systems, backend services, APIs, cloud-native apps, CI/CD, containerisation, MLOps, and LLMOps. The role sits in The AA's newly established AI function creating intelligent products for members, customers, and frontline teams.

You will work with ReactJS, NodeJS, MongoDB, AWS, HTML/CSS/LESS/SASS, and Git/CICD. Atominvest builds software that powers private equity, venture capital, and hedge funds to manage investing, fundraising, and operations. You will help mentor junior team members, though the team size is not specified.

Hands-on technical lead supporting low-latency trading infrastructure and financial systems. Technologies include AWS, Kubernetes, Terraform, Ansible, Jenkins, GitLab, Python, Bash, Docker, Splunk,

You will lead a team of 3–5 engineers using TypeScript (Node.js/NestJS, React/Redux), SQL, and data visualization tools. Your Investigations team builds products to help compliance teams track crypto fund flows and uncover illicit activity. You will also guide use of AI coding assistants like Copilot and Cursor.

You’ll build cloud-first web apps using C#/ASP.NET Core, TypeScript/React/Angular/Blazor, REST APIs, microservices, and messaging (Service Bus/Kafka), deploying via Azure Kubernetes Service, Docker, and DevOps tools like Git, Jenkins, and Azure DevOps. You’ll join the Tax & Legal Technology team—300+ technologists—working on tax and legal software, client portals, and generative AI initiatives in small agile engineering teams.

You will work with Kotlin, Java, Python, TypeScript, AWS/GCP, Kafka, Flink, Redis, and clustered Postgres, using agent-based tools like Claude Code. As a backend engineer on Sparta’s next-generation commodity trading platform, you’ll design and maintain services for real-time and analytical data processing, optimizing for low latency and high throughput.

Design and deliver secure, scalable Microsoft 365, Azure and AI-enabled solutions using TypeScript, SharePoint Framework (SPFx), Microsoft Graph APIs, PnP PowerShell, Azure AI Foundry, Azure OpenAI, Azure Functions, Logic Apps, .NET Core, C#, Terraform and Bicep for client projects.

GUARDIAN NEWS & MEDIA★4.6 (7)· London

Staff Android Developer role building the Guardian Android app in Kotlin and Java, using Jetpack Compose, Coroutines & Flow, MVVM, WebViews, and modular architectures. You'll lead technical direction, influence architecture, and mentor engineers across multiple teams for an app with over 5 million downloads.