Checkout.com★3.8 (15)· London

Senior Engineering Manager leading the Disputes team, which builds tools, services, and machine learning models to help merchants manage and win chargeback disputes at scale. The team owns a full stack centered on .NET / C#, React and TypeScript front ends, Python-based ML, and event-driven microservice architectures.

AXA★3.9 (2.9k)· London

Design and implement secure architectures for enterprise security and AI/ML initiatives across AXA, using Docker, Kubernetes, cloud security, API security, micro-services, MLOps/MLSecOps platforms, threat modeling, and SSDLC. Defines technical security standards and reference architectures aligning with frameworks like NIST AI RMF and ISO/IEC 42001. Reports to the Chief Security Officer.

Manage multiple teams across Platform Engineering, SRE, DevOps, MLOps, Security and Infrastructure Engineering, using Kubernetes, Azure, Terraform, GitHub Actions, ArgoCD, and observability tooling. The teams build and operate the core platform, cloud infrastructure and automation that underpin the company's data, analytics and AI ecosystem. The scope covers hiring, workforce planning and organisational scaling across infrastructure disciplines.

Manage infrastructure on AWS, GCP, Azure, or OCI using Kubernetes, Terraform, and CI/CD tools like Circle CI and GitHub Actions. The team owns the full deployment lifecycle of SGP in live customer environments, building interactive AI applications and enterprise SaaS products.

Lead engineering in a B2B SaaS cloud infrastructure and data intelligence company scaling from Series B to C. Work with cloud-native environments (AWS, Azure or GCP), Kubernetes, microservices, distributed systems, and implement CI/CD, DevOps, and test automation. Scale and lead a multinational engineering organisation across European hubs, reporting to the CTO as part of the senior leadership team.

You'll lead a 4–5 person team building machine learning systems using Python, TensorFlow, PyTorch, JAX, AWS, Docker, and Kubernetes for Super's Playstack platform, which powers sports betting and gaming experiences across Europe and Latin America. The role combines technical contribution, project management, and people leadership, focusing on predictive analytics, personalization, fraud detection, and real-time recommendations that enhance customer engagement in online gambling and sports betting.

Lead a 30-engineer team at a UK digital bank, driving adoption of GCP, microservices, containerization (Kubernetes/Docker), and AI/ML APIs. You will build and scale customer-facing digital platforms and cloud-native services using agile and DevOps practices, with exposure to Flutter, Go, and TypeScript. This role focuses on shaping the engineering pillar and scaling capability during the bank's transformation.

DoiT★4.0 (7)· London

Manage a team building cloud-based SaaS products on AWS, GCP, or Azure using an API-first architecture with databases, SQL, and BigQuery. You'll work with Kubernetes and GenAI technologies, writing and reviewing code while leading delivery, architectural decisions, and team growth.

Leads backend engineering teams using Java/Spring Boot and Python/FastAPI, managing microservice architectures, Kafka, Kubernetes, and CI/CD with GitHub Actions and ArgoCD. Oversees delivery of foundational backend capabilities powering data, analytics, AI, and digital products within All

Work with cloud-based SaaS, AWS/GCP/Azure, APIs, SQL, BigQuery; leads a team building DoiT Cloud Intelligence, which integrates technology and human expertise to solve multicloud problems. Owns the team’s delivery, growth, and hiring, with hands-on coding and architectural decisions.

JPMorgan★3.9 (20k)· London

Lead a squad building scalable platform solutions, working with cloud-native systems, Kubernetes, Terraform/Crossplane, and enterprise-authorized AI-assisted development tools on GCP/AWS. You will drive engineering standards, manage production systems with a “you-build-it-you-run-it” model, and oversee incident response and automation. Manage and coach a team of software engineers within the Accelerator Business Platform Team at JPMorgan.

Houseful★0.0· London

Manage a small team (~3 engineers) on Databricks, DBT, Fivetran, Python, SQL, AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform, Kafka, ECS, and Kubernetes. The team scales a data lakehouse and builds infrastructure for data commercialisation products at Alto Software Group, a B2B SaaS company powering UK housing transactions. This is a 50/50 hands-on engineering and people-management role.

DeepL★3.8 (4)· London

You will manage a distributed engineering team owning payment gateway integrations, fraud/bot protection systems, and the self-serve checkout and conversion pipeline. The team works with AWS, Docker, Kubernetes, gRPC, REST, and both relational and NoSQL databases to drive user activation and monetisation while preventing abuse.

Lead a hands-on engineering team building a greenfield Agentic AI Platform for banking workflows using Python, Java/Spring Boot, and Go, with LLM/agentic frameworks (Google ADK, LangChain), GCP, Vertex AI, Elastic, Pinecone, Databricks, Kafka, Kubernetes, and Terraform. You will drive architecture, code, and mentor a new team of software and ML engineers.

Citi★3.9 (21k)· London

Lead architecture and hands-on development of a greenfield Agentic AI Platform on GCP using Vertex AI, ADK, LangChain, multi-agent architectures, and RAG with Python, Java/Spring Boot, and Kubernetes. The platform empowers Citi’s corporate and investment bankers with autonomous agents to streamline workflows and deepen client relationships.

Accenture★3.9 (29k)· London

You will build production-grade agentic AI systems using LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Vertex AI, Kubernetes, Docker, Python, and Java. The role designs end-to-end multi-agent systems, RAG pipelines, and LLMOps (LangSmith, Braintrust) while embedding with client engineering teams to deliver enterprise solutions. No team size is stated.

Manages cloud (GCP), container (Kubernetes/Docker), Zero Trust, and IAM security using AI and automation. Leads engineering for Isomorphic Labs' digital biology platform applying frontier AI to drug discovery and novel therapeutics. Builds and scales a security engineering team, reporting to the CISO.

BNY★3.5 (5.5k)· London

Lead a Build Engineering team building BNY’s central build automation platform, optimizing CI/CD pipelines and developer workflows. Use Java, Go, JavaScript, Python; GitHub Actions, GitLab CI/CD, Jenkins, Bazel, Gradle, Maven; Artifactory, Nexus; and AI/ML-driven build tooling.

MUFG★3.3 (1k)· London

Lead platform engineering using CI/CD,

You'll lead Pleo's GenAI Platform team, owning its AI infrastructure including LLM serving (LiteLLM), MCP gateway, agentic runtime, and evaluation tooling. The tech stack involves AWS, Kubernetes, Kotlin, Python, BrainTrust, Temporal, and LLM APIs. You'll drive

Apple★4.1 (14k)· London

You’ll lead an SRE team building and operating mission-critical Kubernetes infrastructure at Apple’s scale. You will work with Kubernetes, Golang, and large-scale *nix environments, extending open-source Kubernetes for Apple Services Engineering (iCloud, Apple Music, Apple TV, Intelligence, Maps).

Lead cloud infrastructure, Kubernetes, networking, CI/CD, observability, and incident response on GCP at large scale (~75k requests/second). Own the platform foundations and SRE model that product teams deploy on, driving reliability, deployment, and security strategy. Manage infrastructure managers and senior engineers.

Deliveroo★3.3 (1.5k)· London

Lead a full-stack team (~7–8 engineers) building the real-time, back-office workspace used by 30,000+ support agents across Deliveroo, DoorDash and Wolt. The stack includes Go, Python or Node.js (backend), React (frontend), with cloud tooling (Kubernetes, AWS, Datadog) and an in-house chat platform handling tens of millions of conversations monthly.

Director of Forward Deployed Engineering leading AI-agent delivery for strategic enterprise accounts. Works with LLMs, agent systems, Python/TypeScript, PostgreSQL, DynamoDB, MongoDB, cloud infrastructure (AWS, Azure, GCP), Kubernetes, Docker, and IaC. Oversees engineering team embedding with Fortune 500 customers to ship production-ready AI agents end-to-end.

Ledgy★0.0· London

You will lead a fullstack feature team building equity management and compensation/savings features using TypeScript, React, Tailwind CSS, tRPC, Node.js, MongoDB, Temporal, Docker, GitHub Actions, GCP, Terraform Cloud, and Kubernetes. The team owns the product logic and UX for equity plans, pensions, and carry. You report to the Head of Engineering and stay hands-on with the codebase.