Lead the build-out of a Forward Deployed Engineering unit at PA Consulting, working with Domain-Adapted and Small Language Models, LLM fine-tuning, RAG, agentic workflows, evaluation frameworks, and MLOps, including on-premises and in-VPC deployment. The unit embeds engineers with clients to deploy AI systems in production across data centres, semiconductors, water, and energy infrastructure. Scale the team from a founding cohort of 8-12 to 100+ engineers within 24 months.

Excel financial modelling, VBA or Python coding, and emerging AI/LLM tools. The role is on LaSalle’s Debt and Value-Add Strategies team, which invests in real estate debt and value-add equity across Europe. The Portfolio and Loan Asset Management Team consists of six individuals.

The intern will use C++, Python, Java, R, and machine/deep learning techniques to build models for trading and sales activity. They will also help develop natural language understanding interfaces (speech-to-text/chat-to-systems) and work on projects like unsupervised classification and sentiment analysis within BNP Paribas’ Data & AI Lab.

This role involves testing dynamic, non-deterministic LLM-based chatbot systems using test automation, performance testing, and code reviews. You will join a newly formed multidisciplinary team of five building conversational AI components for Mimica's WebApp, establishing quality practices and an output-evaluation framework.

You'll work with Python, PostgreSQL, MySQL, BigQuery, FastAPI, Flask, GCP/AWS, and CI/CD pipelines. You'll join the commercial performance insights squad to build data pipelines and event streams for monitoring algorithmic insurance underwriting, including Monte Carlo simulation.

You will work with Python or Go, Kong (Envoy or Apigee), RBAC/OIDC, MCP, and LLM providers including Anthropic, AWS Bedrock, and OpenAI. The team builds and runs the infrastructure connecting engineers and client workloads to multiple LLM providers, covering the inference control plane, orchestration tooling, and governance controls.

You work with Python or Go, API gateways (Kong, Envoy, Apigee), LLM providers (Anthropic, AWS Bedrock, OpenAI), RBAC/OIDC, and MCP patterns. The AI Platform Engineering team builds and runs the infrastructure connecting engineers and client workloads to multiple LLM providers—including the API gateway, orchestration/lifecycle tooling, and governance controls. As Principal, you set technical direction for the platform and act as a trusted extension of leadership.

Build production-grade generative and agentic AI using Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure, GCP, vector stores, SQL, Kubernetes, and CI/CD for the company’s product platform.

You'll work with Python, Braintrust, LangSmith, Arize, Weights & Biases, and CI/CD. The AI Engineering team builds eval and observability pipelines for production AI features — designing scoring pipelines, monitoring quality signals, and wiring eval gates into promotion paths.

Build and run a platform team's API gateway (Kong, Envoy, or Apigee) and routing layer connecting engineers to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI). Use Python or Go to build orchestration, RBAC/OIDC access controls, caching, and governance tooling. The team builds the infrastructure—from inference control plane to a reusable capability marketplace.

You will work with n8n, GPT, Claude, Gemini, and other LLMs, using APIs, webhooks, SQL, Python, and JavaScript to build production-ready AI agents and automations. Geomiq operates a digital manufacturing platform connecting engineers with global partners, and you will automate workflows across Sales, Operations, Supply Chain, Finance, and Product teams as their first dedicated AI builder.

You will work with Java microservices, Spring Boot, Python, SQL, Snowflake, dbt, Airflow, LangChain, Sagemaker, and MLflow. The data science team builds ML solutions for risk-based decisioning, pricing, and operational automation in insurtech/fintech. This is a hands-on leadership role—you will lead and develop the team while setting technical standards.

You’ll build and operate Kubernetes infrastructure for AI workloads using Terraform, Python, and AWS/GCP, plus CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Argo CD) and observability stacks (Datadog, Prometheus, Grafana). The role applies SRE discipline—SLOs, incident response, on-call—to AI platforms at CreateFuture, an AI-native consulting firm building digital products for clients.

You’ll work hands-on with React, JavaScript, Python, GCP, Terraform, Git, and AI/ML tooling. As part of ace, you’ll own the build-out and enterprise adoption of a leading global hedge fund’s in-house automated testing platform, with full-stack development, CI/CD, and governance. You’ll mentor a small QA function transitioning from manual testing.

Work with Java Spring, Web3J, Web3JS, Solidity, Git, Jira, Jenkins, Helm Charts, and DevSecOps tooling. You will build the backend of enterprise-grade web applications for Citi’s Integrated Digital Assets Platform (CIDAP), leveraging blockchain technology.

Build backend services for Citi’s Integrated Digital Assets Platform using Java, Spring, Web3J/Web3JS, and Solidity. Work on blockchain integrations, node connectivity, smart contracts, and microservices. This is a lead engineering role on the core team.

Development Team Lead role balancing hands-on coding with scrum master duties, using React Native, Kotlin, React Web, Java, Mongo, Jira, Git, CI/CD, and REST APIs. The team handles customer customisations, enhancements, bug fixes, and 2nd-line support for Reset Health's Live Platforms, releasing every two weeks. Mentorship and agile ceremony facilitation are core to the position.

Senior UI Software Engineer role at Citi building trading GUIs for the Foreign Exchange business, covering full development lifecycle with technical leadership. You will use TypeScript, React, JavaScript, HTML5/CSS, FDC3, REST/WebSocket APIs, Kafka/Solace/Tibco, and CI/CD tools like Jenkins, with desktop container experience in Chromium/Electron/OpenFin.

Build Web3 components and smart contracts in Solidity for Citi’s Digital Assets Platform, integrating with Ethereum, Hyperledger Besu, Solana, or Canton using Java/Spring, Node.js, and Web3 libraries like Web3J, Ethers.js, or Viem. The team develops tokenization, on-chain settlement, and blockchain protocol connectors for institutional digital finance.

You will work with C++ and Java to design, develop, and enhance matching engines, FIX gateways, and other electronic trading applications. As part of Cantor Fitzgerald’s Electronic Products department, you will build high-performance, low-latency solutions for the financial services business.

You’ll build cloud-native apps with C#/.NET and Azure, design Microsoft Fabric and Medallion data pipelines, handle ETL/ELT, SRE, and integrate LLMs via OpenAI/Azure OpenAI. Based at startup Lineten Ltd., you’ll join a small team enabling internal and external data self-service analytics.

You will use Python, JavaScript, Microsoft 365, Power Platform (Power Apps, Power Automate), and APIs to design, build, and enhance internal applications, automations, and AI-powered solutions. This role supports a technology-led company investing in AI and automation by developing internal tools that improve business efficiency and productivity.

You will work with C#, .NET (.NET Core/8+), SQL

You will work with C#, .NET, Azure, GitHub Actions, Octopus Deploy, CI/CD pipelines, front-end frameworks, and observability tools like Azure Monitor, Datadog, or Grafana. As part of a cross-functional digital product team at Canada Life, you will build and run product features across the full stack, living a "you build it, you run it" philosophy.

You'll work with Azure-hosted solutions, automated CI/CD pipelines, and test automation, building accessible, component-oriented front ends meeting WCAG 2.2 AA standards. You'll help lead Canada Life's Digital Product Team, modernizing its IT estate by delivering customer-centric digital products across the full lifecycle. You'll be one of several Lead Engineers, but team size isn't stated.