This role involves hands-on technical work in incident handling, malware analysis, and remediation across various platforms. The Sr. Analyst will develop and improve detection processes, produce high-quality reports, and provide consulting support to clients using CrowdStrike's Falcon platform.
This role involves designing and implementing scalable, distributed systems for CrowdStrike's Intelligence team. Responsibilities include building data processing pipelines, storage systems, and presentation layers, working closely with analysts and researchers to gather requirements and ensure smooth operations.
Design and build systems to proactively detect and enforce against abuse on OpenAI's products, including monitoring for new and existing features. Investigate critical escalations involving sensitive content and collaborate with product, policy, and engineering teams to develop scalable safety solutions. Develop detection prototypes and improve automation using data science and machine learning techniques.
A research-focused role advancing large language model development through architecture innovation, optimization, and scaling. The position involves designing and evaluating novel model architectures, debugging training regressions, and improving both model and computational performance. Work is integrated within a hybrid (3 days in-office) setup in London, contributing to core training infrastructure and flagship AI systems.
Lead end-to-end AI transformation initiatives within a high-growth alternative lender, reimagining core business workflows from the ground up using AI. Work in a dedicated pod with data scientists and engineers to design and deliver production-grade AI solutions that drive measurable commercial outcomes across lending, sales, and finance functions. This role involves deep collaboration with subject matter experts and technical teams to build AI-first operating models rather than incremental automation.
This internship offers hands-on experience working in a software engineering team at a fast-growing AI company. You will collaborate closely with experienced engineers, contribute to real projects, and receive mentorship throughout the 8-week program.
This role involves developing and enhancing AI-driven document processing capabilities using Python, working closely with cross-functional teams to deliver scalable and robust solutions. The engineer will focus on building and maintaining core components of the IDP platform, contributing to the product roadmap and exploring the latest AI technologies.
This role involves designing and implementing enterprise-level data and AI architecture, developing advanced AI models, and leading deep data engineering projects. You will work remotely with a day in the London office, focusing on innovative solutions and cross-functional collaboration.
This role involves designing, building, and scaling enterprise-grade AI platforms, transforming AI research into production systems. You'll work on complex AI services, data pipelines, and cloud-native architectures, collaborating with Data Scientists and Software Engineers to productionize ML and NLP models.
You will design and build intelligent Salesforce solutions using AI and data-driven approaches, develop and integrate AI capabilities like Salesforce Einstein, and collaborate with business, product, and engineering teams to deliver innovative and scalable solutions.
The role involves designing and building AI systems using LLMs, RAG, and related technologies, while working closely with research and engineering teams. Responsibilities include developing and maintaining high-quality production software, architecting microservice-based systems, and providing technical guidance to junior engineers.
This role involves designing, developing, testing, and deploying front-end and back-end components of Generative and Agentic AI applications. You will work with a tech-obsessed team, translating complex business challenges into AI-powered solutions and collaborating with cloud architects, data scientists, and product managers to take ideas from concept to production.
As an Applied AI Engineer, you will build and deploy intelligent agents that solve real business problems, focusing on reliability, measurement, and safety. You'll work closely with growth pods to identify and solve high-impact challenges using the latest AI technologies and tools.
This role involves building and deploying production-grade AI-powered systems that integrate LLMs, RAG, and agentic workflows into financial services operations. The engineer will design scalable backend and frontend systems using Node.js, TypeScript, and React, while orchestrating AI tooling on AWS cloud infrastructure. Emphasis is placed on observability, reliability, and end-to-end ownership of features that deliver real-world value to financial institutions.
This role involves developing and maintaining production-grade Python services for Generative AI and RAG solutions. Responsibilities include building and integrating LLM workflows, implementing retrieval and evidence processing, and optimizing response quality and performance.
