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.

COLLINSON★3.6 (34)· London

You will own the Strategic Billing Platform ecosystem, working with Salesforce Revenue Cloud, Snowflake, DocuSign CLM, Vertex, and API integrations. The role manages platform strategy, governance, and performance for Collinson’s billing capabilities, which support its Priority Pass airport experiences and loyalty programs.

Holland & Barrett★2.8 (1.3k)· London

You will lead multidisciplinary frontend and backend engineering teams building digital products that support Holland & Barrett's merchandising operations; the company is the UK's leading health and wellness retailer. No specific technologies or team size are stated.

Lead multidisciplinary frontend and backend engineering teams building digital products for the merchandising operations of the UK's leading health and wellness retailer. This people-management role provides technical leadership in architecture and system design without hands-on coding.

The Director of Engineering will lead engineering teams responsible for digital products, data/insights, web channels, and Microsoft Dynamics CRM, and manage an AI Centre of Excellence. They will oversee the engineering function reporting to the CTO, managing multiple squad-based teams to deliver secure, scalable digital platforms for the charity.

Leads multiple engineering teams using AWS cloud, microservices, DevOps, LLM APIs, and AI-assisted development. Oversees Client Service technology roadmap, building and modernizing CRM, booking, and customer engagement platforms. Manages Engineering Managers and Senior Engineers across multiple squads.

Engineering Managers at Ki lead teams working with Java, Python, JavaScript, Node.js, Spring Boot, Flask, Kotlin, GCP, and CI/CD tooling. Ki is the biggest global algorithmic insurance carrier, using machine learning and LLMs on its broker platform to digitise Lloyd's of London underwriting. The role collaborates with the CTO on technical strategy for the architecture, tech stack and infrastructure.

You will work with Java, Python, JavaScript, Node.js, Spring Boot, Flask, Kotlin, GCP, CI/CD, DevOps, GitOps, and Jira on microservice-based architectures. Ki is an algorithmic insurance carrier using machine learning and large language models to deliver broker quotes in seconds, and you will lead engineering for its core broker platform enabling underwriting at scale.

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.

You will work with Gen AI, Cloud/Back-End/TypeScript, and Product Systems on Physical AI applications that bridge software and hardware. You lead and mentor an agile team of 5, integrating work across these three verticals.

You will lead an AI engineering team delivering enterprise AI initiatives including Generative AI, AI Agents and Voice AI, working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering and Python on cloud platforms. This role manages the AI roadmap from concept to production for a major enterprise undergoing AI transformation.

Lead a data engineering team using Snowflake, AWS, GCP, data orchestration platforms, and modern ELT/ETL frameworks. The team ingests, models, and provisions digital customer interaction data from Sainsbury’s, Argos, Nectar, and other channels into a cloud data platform. You will manage Data Engineers, Analytics Engineers, and Architects.

Sainsbury’s★3.5 (16k)· London

You will lead a team of Data Engineers, Analytics Engineers and Architects, working with Snowflake, AWS, GCP, data orchestration platforms and modern ELT/ETL frameworks. Your team ingests, models and provisions behavioural data from Sainsbury’s, Argos and other digital channels into a cloud data platform to enable data-driven decision making.

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.

Deloitte★3.9 (14k)· London

Work with SQL, Python, R, and cloud technologies to design end-to-end AI and data solution architectures for clients, developing strategic roadmaps and proof of concepts. Collaborate with on-shore and off-shore development teams in an Agile environment.

Deloitte★3.9 (14k)· London

Works with cloud platforms AWS, Azure, GCP, Databricks, Snowflake and GenAI. Leads complex AI and data transformations for clients within the Strategy, Governance and Architecture team, designing architectures for data sourcing, APIs, machine learning and data monetisation. The Senior Manager guides multidisciplinary delivery teams and mentors junior colleagues.

Fanatics★3.5 (2.8k)· London

You'll manage an engineering team building real-time risk and trading systems for Fanatics Betting & Gaming's sportsbook and iGaming platform using .NET/C# and cloud technologies (AWS, Azure, or GCP). The role involves leading a distributed team, collaborating cross-functionally with product and quantitative teams, and driving innovation in decision-making systems that support sports betting operations across the U.S. and retail locations.

You will lead a team of Data Engineers, Analytics Engineers and Architects, working with Snowflake, AWS, GCP, data orchestration platforms and modern ELT/ETL frameworks. The team owns the Digital Customer Interactions Data domain, ingesting and provisioning behavioural data from Sainsbury’s, Argos, Nectar and other channels into a cloud data platform to enable data-driven decisions.

Morgan Stanley★3.8 (5.4k)· London

You will work with Java, HTML5, Angular, REST, FIX, CI/CD, and generative AI. The team builds document and workflow automation solutions for Morgan Stanley’s institutional equity derivatives platform, which processes structured products and OTCs. This VP-level role leads a globally distributed engineering team.

This role uses React, React Native, Node.js, DevOps and CI/CD. You will lead multiple cross-functional Agile teams delivering customer-facing web and mobile platforms and enterprise-scale digital products.

Java, Spring Boot, microservices, cloud, TDD/BDD (JUnit, Spock, Mockito), and CI/CD tools (GitHub, Azure DevOps, Jenkins). You will build and evolve a post-trade clearing and prime brokerage platform, including in-house systems, APIs, and a client web portal. The role includes managing a small Java team and has an explicit pathway to Head of Engineering within 24 months.

Trainline★3.9 (17)· London

You'll lead the App Platform team of iOS and Android engineers, building shared capabilities, tooling, frameworks, and engineering practices that power Trainline's award‑winning mobile apps. This role drives the mobile platform strategy and champions the unique needs of mobile engineering at the FTSE 250 rail‑ticketing company.

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.

Lead engineers building secure, scalable microservices and APIs using TypeScript, Node.js, AWS, SQL/NoSQL, Docker, and CI/CD tools. You will manage a team for an AI leader in governance, risk and compliance, partnering with Product, Security, and DevOps.