Senior GRC Engineer to own DORA, EU AI Act, NIS2, and UK PRA/FCA compliance at xAI. You will work with Compliance-as-Code tools like Vanta, AWS/GCP/Azure cloud, and CI/CD pipelines to automate control validation and evidence collection for the company’s AI and fintech products. This hands-on, individual-contributor role operates in a flat organization with no stated team size.

Design and secure cloud and hybrid infrastructure using Python, Terraform, Kubernetes, IaC, CI/CD, SIEM, CSPM, CWPP, and AWS/GCP/Azure. You will protect mission-critical applications for xAI’s AI systems and platforms including X Social and X Money.

Work with React, TypeScript, Python/Node.js, Next.js, NoSQL/Relational databases, Docker, and cloud deployments. You will collaborate with public sector clients to build full-stack AI applications and custom LLM training data. Scale’s Global Public Sector team applies AI to critical government challenges.

Anthropic★5.0 (1)· London

You will work with Q-Sys, Google Meet, Logitech, Lua scripting, Netgear AV-over-IP switches, and DSP. As an AV Engineer at Anthropic—which builds reliable, interpretable AI systems—you will design and implement AV solutions for new office builds across EMEA to enable frictionless collaboration for AI safety research.

You'll work with AWS, Kubernetes, Terraform, Pulumi, CloudFormation, Java, Python, Golang, and AI coding tools like Claude Code, Cursor, GitHub Copilot. The team builds the Fanatics Markets real-money prediction and trading app for sports, entertainment, and political outcomes. As Staff Platform Engineer, you set technical direction and design durable platform abstractions.

JPMorgan★3.9 (20k)· London

You will work with Java, Spring Boot, Hibernate, JPA, Spring Kafka, microservices, CI/CD, and AI-assisted coding tools; preferred skills include React, Angular, Kubernetes, and Python. You’ll build production-grade full-stack software that powers JPMorgan’s global banking businesses and supports millions of customers.

You will work with AWS/Kubernetes, Terraform/Pulumi, Java, Python, and AI code collaborators like Claude Code, Cursor, and Copilot. Fanatics Markets is a real-money prediction and trading app where users predict outcomes and trade on events. You will build scalable cloud-native infrastructure and developer tooling for this platform.

Apple★4.1 (14k)· London

You will work with Go, React, PostgreSQL, and Kubernetes to build internal tools for SREs and engineers. The Apple Services Engineering team provides infrastructure and tooling that supports cloud engineering and helps make Apple’s services (iCloud, TV+, App Store) highly reliable.

Build the initial platform from scratch, owning backend infrastructure, frontend implementation, and automated data workflows. ClearStack is a pre-seed startup building AI-driven treasury and cash management infrastructure for the private markets and alternatives space. As the first technical hire, you will define the architecture and technical roadmap.

Hands-on Head of Engineering role building a modern, API-first, microservices-based platform for a specialty MGA. Will work with cloud architecture, modular services, AI, and data platform to deliver embedded insurance products. Initially close to code, then responsible for defining team structures and scaling the engineering organization.

You will work with clients to configure and build technical rollouts including workflows, integrations, and data structures for an AI-native data collection platform that automates field inspections for industrial facilities. You will be embedded with key accounts, owning the technical delivery and relationship end-to-end.

You will work with Java 17+, reactive frameworks (Vert.x, Spring WebFlux), Kafka Streams, Apache Flink, gRPC, AWS (EKS), Terraform, Redis, GitLab CI, and AI/ML tools. The Prepurchase Platform builds backend services for event discovery, real-time seat availability, and interactive venue experiences, processing billions of API calls during peak on-sales.

You'll build production data pipelines using Apache Spark (PySpark), Databricks, Delta Lake, and SQL, with Unity Catalog, CI/CD, Terraform, MLflow, Kafka, and cloud platforms like AWS/Azure/GCP. Unifeye is a Databricks-first consultancy delivering Lakehouse data platforms for enterprise clients. No team size is stated.

Lead a small multidisciplinary team building a predictive sports modelling platform for the gaming industry. You will work with Java Spring, Kafka, AWS, Docker, and Kubernetes, while exploring AI-enabled engineering tools.

You will work with Rust or Python to design hardened sandboxed runtimes, CLI tools, and tracing systems. Indices builds infrastructure that turns websites into deterministic APIs, enabling AI agents to navigate the web reliably and securely at the network level.

Lead engineers on Canada Life UK's digital team work with modern component-oriented front-end frameworks, CI/CD pipelines, test automation, and Azure-hosted solutions. You will design and build accessible, responsive user interfaces (WCAG 2.2 AA standards), optimize front-end performance and Core Web Vitals, and contribute hands-on across full-stack development. This role is one of several Lead Engineers in Digital who collaboratively set technical direction and engineering standards.

Lead a squad of 8–12 engineers (Java, Kotlin) at a UK FinTech. This hands-off management role focuses on coaching, performance, and team development, working alongside a Product Manager. No coding or technical decision-making is required.

Xelix★0.0· London

You’ll lead design and delivery of production-grade AI solutions combining machine learning, LLMs, and robust engineering, architecting complex agent-based workflows and tool ecosystems. You will work with modern AI-assisted development tools and define evaluation frameworks. Xelix automates financial controls for enterprise Accounts Payable teams.

Node.js, TypeScript, AWS, Kubernetes, REST APIs, Terraform, EventBridge, SQS, and CI/CD. You’ll join a high-growth UK payments fintech building scalable B2B payments infrastructure and event-driven distributed systems. As a Senior Engineer, you’ll shape architecture, own features end-to-end, and mentor engineers.

You will work with Python, Django, FastAPI, PostgreSQL, AWS, and distributed async workers. The team builds an AI platform that processes purchasing records and recipes to measure and reduce carbon emissions for the food industry. You will own the backend for a core product in an eight-person startup.

You will work on mobile or web applications, using JavaScript, React, Node.js, TypeScript, Python, or Java for web, or Swift, Objective-C, Kotlin, or Java for mobile. Konrad is a digital consultancy that builds consumer and enterprise digital products.

MUFG★3.3 (1k)· London

Senior AI engineer in MUFG's Global Markets Engineering Office; role builds AI solutions using generative AI, agentic workflows, RAG, prompt orchestration, workflow automation, and data-driven decision-support tools. The position identifies, designs, and embeds AI solutions to improve productivity, control effectiveness, and operational resilience within a specific business product line.

Databricks★3.0 (21)· London

Lead a team of pre-sales Solutions Architects using the Databricks Data + AI Platform, Big Data, AI, and cloud technologies. The team drives adoption of the platform in the UK&I Retail and Consumer Packaged Goods sectors, supporting complex sales cycles and partner go-to-market strategies.

CrowdStrike★3.8 (55)· London

Manage a team building infrastructure services for CrowdStrike’s DevOps model, working on large-scale distributed tracing/metrics platforms. You will use Python, Bash, or Go to build Kubernetes operators, alongside Otel, Tempo, Sentry, Prometheus, and Thanos, in AWS or GCP cloud environments.

Amazon★3.5 (56k)· London

You will work with Java, C++, or C# and build large-scale distributed systems as part of Amazon's IAM group, which protects customer and corporate data. This is a greenfield initiative focused on security innovation through data exploration and machine learning. The role requires cross-functional collaboration across multiple teams and technologies.