The intern will use Python (Pandas, NumPy), AWS (Kubernetes, Kafka), APIs, Snowflake, Streamlit, Git, Docker, Helm, and CI/CD. They contribute to front office software tools for real-time trading, market data analytics, and visualization, and work with the commercial trading team to optimize pricing models and trading workflows. The role is with Castleton Commodities International, a global energy commodities merchant and infrastructure investor.

Work with Svelte/TypeScript, Python (FastAPI, Django), PostgreSQL, and AWS. Tab is a YC-backed London travel fintech building a payments platform for 100,000+ global tourism businesses, processing thousands of real-time transactions per hour. You will develop features across the stack and collaborate in a tight-knit engineering team.

You will own back-end infrastructure and data strategy at a seed-stage startup building gas sensors and AI that predict food freshness. You will build scalable GCP pipelines, design APIs with Python and FastAPI, and develop full-stack solutions for a mission-driven team of under 20.

You will work with Python, FastAPI, LLMs, RAG architectures, chain-of-thought prompting, and multi-agent tool use. The Science team builds cognitive architectures to create synthetic populations for behavioral prediction, using LLMs to simulate human responses with 95% accuracy.

You’ll use Python, Docker, Kubernetes, CI/CD tools, cloud platforms (AWS, Azure, GCP), and IaC tools like Terraform or Ansible, with AI frameworks such as PyTorch or TensorFlow. As an Applied AI Engineer at Mistral, you’ll onboard customers and deploy production AI solutions across infrastructure, back-end, and front-end. No team size is stated.

You'll work with Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/message-driven architectures, building clean, tested code for NatWest Boxed's technology product. As part of a cross-functional mission team, you'll collaborate with stakeholders, support junior engineers, and act as a subject matter expert.

Work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. You'll build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Join a profitable, lean team of nine as one of the first developers.

You'll work with HTML, CSS, JavaScript/TypeScript, React or Vue, Git, Jira, Figma, automated testing, and AI tools like Claude Enterprise, in an agile model. As an AI-forward web developer embedded in SharkNinja's D2C business, you'll fix bugs from the ticket backlog and bridge Design and Engineering to buildable requirements. No team size is stated.

Senior Data Engineer role using SQL, Python, Java, Airflow, dbt, Spark, BigQuery, Snowflake, GCP, AWS, and DOMO. You will design and maintain scalable data pipelines for web analytics, CMS, ad tech, and social media, supporting analytics and reporting across Independent Media’s portfolio of digital news brands.

Capgemini★3.7 (11k)· London

Work with graph databases (Neo4j, Amazon Neptune, TigerGraph, ArangoDB), Azure AI Search, Elasticsearch, Pinecone, Python, Azure, AWS, Kubernetes, Docker, and CI/CD. Design and implement an enterprise knowledge platform enabling AI agents across Insurance, Payments, and Healthcare domains. Lead platform strategy, enterprise architecture, and cross-functional engineering teams.

The role builds and maintains the automation layer for ElevenLabs' influencer/creator marketing program, covering discovery, onboarding, contracts, content tracking, reporting, invoices, and payment alerts. Tech stack includes Zapier, Make, n8n, Python or JavaScript, APIs, webhooks, SQL, plus integrations with social platforms, CRM, finance, Slack, and e-signature tools.

Python and/or C#/.NET, with experience using LLM APIs, retrieval-augmented generation (RAG), prompt engineering, and agent orchestration patterns. This director-level role defines and builds WTW’s enterprise-wide AI engineering capability, creating shared frameworks, reusable patterns, and reference implementations for production-grade generative AI and agentic solutions across the company.

Design, build, and deploy ML models using Python, TensorFlow, PyTorch, Scikit-learn, and LLMs with LangChain, RAG, and vector databases (Pinecone, FAISS). Deploy on AWS, Azure, or GCP, developing REST APIs with FastAPI/Flask. This role is with Aivra Health, a health technology company solving real-world business problems.

Lead AI Engineer at All Your BI: set technical direction and build production-grade AI using Python, LLM APIs (Anthropic, OpenAI, open models), vector databases, orchestration frameworks, evals, observability, and guardrails. The company delivers managed BI services for logistics and industrial clients, integrating AI into products and solutions. The remote team of 60+ data heroes operates with little hierarchy.

Work with Cisco and Arista platforms, including VxLAN, EVPN, Meraki, and traditional enterprise networking, plus automation and infrastructure as code. You'll engineer enterprise network solutions for NatWest Digital X, ensuring security, resilience, and operational requirements.

The role involves iOS development using Swift, Java, mobile architecture patterns, Test-Driven Development, and automated mobile testing for financial applications. The work is within Persistent Systems, an AI-led digital engineering and enterprise modernization partner. This position includes leading a team and coaching employees, though team size is not specified.

You will work with Java, Apache Kafka, Agile methodology, and full-stack development to build, test, and debug Java-based applications. You will join Genpact, an advanced technology solutions company that uses process intelligence and AI to help global enterprises transform at scale.

Luxoft★4.5 (669)· London

Work with Python, FastAPI, AWS (eventing, queues, serverless), Git, CI/CD, vector databases, RAG, and LLMs (OpenAI, Azure OpenAI, Anthropic). Build an Agentic AI solution to generate investment insights from sales and research materials, reducing client meeting prep time. Also use React (TypeScript) for UI and possibly AgentCore, AWS Neptune, API Gateway.

Use React Native (iOS/Android) with Ruby on Rails, Postgres, and JSON APIs; work with TypeScript, Expo, Jest, and Git. You will build the platform managing end-to-end installation of home energy solutions for BOXT and E.ON Next. As technical anchor, you mentor junior engineers and lead mobile architecture.

You will own the Flutter/Dart companion app end-to-end, building daily games in Flame or Unity and maintaining REST APIs. You will also work across Node/TypeScript + MongoDB backends and the Next.js/React web platform. Big Potato creates easy-to-learn, laughter-first board games played by millions worldwide.

Design, build, and operate cloud infrastructure on AWS, Azure, or GCP using Terraform, Kubernetes, Docker, CI/CD pipelines (GitHub Actions, Azure DevOps), and scripting (Python, Bash, PowerShell). The role delivers secure, scalable platforms for enterprise applications and digital services, partnering with software, security, and architecture teams.

You will work with Node.js/TypeScript, Ruby/Rails, Nuxt, AWS CDK, serverless event-driven architecture, and the Salesforce platform. As part of the “In Life” squad, you will maintain back-end services, iterate on Digital Renewals customer journeys, develop quoting tools, and build batch jobs.

Work with C++, Python, kdb, SQL, C# and .NET to develop analytics libraries and pricing models using Monte Carlo Methods and PDE solvers. This Vice President role on Citi’s Cross Asset XVA and Capital Analytics team builds and supports quantitative models for trading and risk-management.

Work with Azure, AWS, Terraform, Kubernetes, Docker, Python, Go, and CI/CD pipelines to architect and operate secure, scalable cloud platforms for AI products at LSEG. This individual-contributor role owns the technical direction of cloud infrastructure, delivery pipelines, and operational capabilities, providing functional leadership across teams.

You’ll use JavaScript, React, Python, Go, Grafana, GCP, Docker, and Kubernetes, alongside APIs and LLM integrations. The role provides technical support for Xapien’s AI-driven due diligence platform, troubleshooting issues and collaborating with Engineering, Solutions, and Product teams to improve developer experience.