This senior fellow role applies AI methods—deep learning, foundation models, Bayesian modelling, causal inference, large language models, computer vision, diffusion models, reinforcement learning, and knowledge graphs—alongside protein engineering and computational chemistry. The position sits on McKinsey’s global scientific AI team, transforming client R&D in life sciences, specialty chemicals, energy, materials, agriculture, and advanced industries. It includes leading initiatives and mentoring junior colleagues, with no team size stated.

Design and maintain automated test suites using C

You will use Python, core ML frameworks, and post-training techniques (GRPO, PPO, RLVR, SFT, PEFT) to develop enterprise-grade coding agents. This cross-disciplinary team combines Sonar’s static analysis with LLM post-training to help customers build agents generating high-quality code meeting enterprise standards.

You will work with Generative AI, LLMs, OpenAI, LangChain, Hugging Face, PyTorch, TensorFlow, FastAPI, Streamlit, and cloud platforms (AWS/GCP/Azure). You will design and deploy GenAI solutions—including RAG pipelines, fine-tuning, and prompt engineering—for enterprise use cases such as customer service, document automation, and knowledge retrieval on the Data Science Team at a global data and AI company.

A Core AI Engineer at LSEG designs, develops, and deploys enterprise-grade AI products and services, building agentic workflows, RAG solutions, and scalable integrations with LLMs and vector databases. The role leads technical implementation across AI initiatives, mentoring engineers and defining solution architecture. The team is transforming how LSEG operates by using AI to improve service resilience, automate workflows, and accelerate engineering productivity.

Provide application support for Charles River IMS, troubleshooting issues across investment workflows, system configurations, integrations, market data feeds, and databases (Microsoft SQL Server or Oracle). The product is an end-to-end enterprise investment management platform automating front and middle office functions for asset managers.

Senior People Data Analyst role using SQL, BigQuery, dbt, and Looker, with exposure to machine learning, AI, LLM tooling, and data observability. You’ll improve the People Analytics data ecosystem and build data products for a global payments company powering e-commerce transactions.

Marqeta seeks a Technical Success Senior Analyst to join its operations team, leading technical onboarding of standardized products and supporting customers through implementation of its card issuing and payments platform. The role involves configuring and deploying products, guiding customers on API integrations, and creating training content, using REST APIs, SFTP, SQL, and Datadog.

Lead a team building scalable cloud-hosted systems using Java, Python, ReactJS, AWS, and Google Cloud Platform. This engineering manager role owns technical stewardship for product mission teams within NatWest Boxed, a high-performing product engineering organisation. Direct reports include software and quality engineers across empowered squads.

A junior growth sales role at Verda, a full-stack AI cloud company. You'll use CRM and pipeline tools to manage inbound prospects, explain the company's cloud platform, and prepare quotes and usage estimates. Familiarity with cloud platforms (AWS, GCP, Azure) and AI workloads (GPU compute, CUDA, PyTorch, vLLM) is key.

Works with Apache configs, CLI tools, Chrome DevTools, Lighthouse, PageSpeed Insights, WebPageTest, Jira/Azure DevOps, HTML, CSS, JavaScript, and structured data. Leads Croud's Web Experience and Technical SEO capability, auditing and optimizing client sites for traditional search, AI summaries, and LLM interfaces, including migrations and

You will work primarily with JavaScript/TypeScript, React, and AWS, architecting full-stack apps alongside Node, Webpack, MobX, Redux, Spring Boot, and Kafka. As part of the Transaction Banking Digital Engineering team, you will lead the design and implementation of UI components for a scalable, cloud-based platform providing corporate cash management solutions via APIs, portals, and SWIFT. You will manage a group of engineers, contribute to the product roadmap, and drive engineering culture.

You will work with Python (FastAPI), AWS, LLMs (OpenAI, Gemini, Anthropic), RAG, agentic workflows, MCP servers, and CI/CD pipelines. This player-coach role leads a squad building AI-driven solutions for BCG’s internal products and processes, delivering GenAI applications while cultivating engineering talent.

Lead design and development of large-scale software using TypeScript, JavaScript, Angular, Node.js, and Azure/AWS. Build modern, cloud-native applications for Verisk’s data and analytics platform that helps insurers make decisions. Provide technical guidance and shape architecture across multiple products and teams.

Platform Engineer role at Freetrade, working with Google Cloud infrastructure, Kubernetes, serverless, Terraform, and Node.js (TypeScript). The Platform Engineering Team builds foundational CI/CD pipelines, logging, observability, and security systems to support product, frontend, and data engineering teams.

Lead a team building an FX Risk valuation platform using Java, Apache Ignite, Apache Kafka/Solace messaging, MongoDB, Oracle, and Linux. The role involves designing microservices, in-memory data grids, and real-time data pipelines to replace legacy risk applications serving traders and sales.

Build and streamline CI/CD pipelines using GitLab CI/CD, Helm, ArgoCD, and Terraform. Containerise and migrate workloads into Kubernetes and OpenShift, automating with Bash, Python, or Go across hybrid cloud environments (AWS, IBM Cloud, GCP, or Azure). You will complete a free 16-week course to develop mid-level skills before a potential client role.

You'll work with Kotlin, TypeScript, Python, Rust, React, Postgres, DynamoDB, Kafka, and AWS (ECS, EKS, Lambda, CDK). Natter builds a conversational AI platform for real-time video feedback used by Fortune 500 companies. You'll join a small, high-ownership engineering team that ships multiple times a day.

Work as a senior quality engineer using Python, Jenkins/Groovy CI/CD, pytest/GTest, and Linux/Windows tooling, plus AI-assisted coding tools. You'll build pipelines, automation, and automated tests across SDK teams supporting PlayStation's SDK solutions, coordinating with London, Bristol, and Dublin.

Develop NatWest Boxed, a banking technology product, using Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/event sourcing. As a technical lead, you'll support junior engineers on core cross-functional mission teams. The listing doesn't specify team size.

Work with C#, Java, C++, and Python in an Agile environment. You will design, develop, test, and maintain software applications, collaborating with the design team to improve existing systems at John GmbH.

You will work with React, TypeScript, TanStack Query, ShadCN, Tailwind, and data-visualization libraries like D3 or AG Grid. The interface team builds Scenario Builder, a tool that lets policymakers, planners, and investors model energy systems without coding.

Work with JavaScript, React or Svelte, D3, QGIS, Mapbox, Leaflet, R or Python, SQL, Git and AI models. Build interactives, calculators and data-led stories for The Times and The Sunday Times’ data journalism team.

You’ll build and maintain scalable data pipelines and implement observability, monitoring, and data quality checks using Python, SQL, shell scripting, containerization, and IaC tools (with Scala/Java preferred). You’ll support AI/ML-driven financial technology platforms at a global fintech company, collaborating with product engineering, data science, and business teams.

Lead engineers on Canada Life’s Digital Product Team build user-facing products with modern front-end frameworks, CI/CD pipelines, and Azure-hosted solutions, specialising in UI/UX, accessibility (WCAG 2.2 AA), and front-end performance. They lead cross-functional squads through the full lifecycle, coaching engineers and setting technical direction for customer-centric digital experiences.