Lead 6-7 engineers on core ML infrastructure for a systematic quant fund: distributed model training, LLM hosting/fine-tuning, and scalable deployment. Use Python with working knowledge of C++/Java. Own technical direction for real-world, high-stakes systems.

You will manage large software engineering teams using Java, JavaScript, and cloud platforms like Azure or GCP. The company builds and maintains high-scale, consumer-facing technology products with both frontend and backend components. The role leads engineering transformation initiatives and oversees distributed systems.

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.

Lead a team of 8 senior engineers using React, TypeScript, Python, FastAPI, Dagster, dbt, Snowflake, and AWS. The company fuses fragmented UK transport data into an operational intelligence layer for councils and highways authorities. This role includes architectural ownership and a path to CTO as the team scales toward 20-30 engineers.

Google★4.3 (6.2k)· London

Work with Java and Kotlin on Android display and power management frameworks across devices. Manage engineers as a Tech Lead Manager, ensuring stability and extensibility of critical display and power frameworks for the Android ecosystem.

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.

CIBC★3.7 (4.4k)· London

Executive Director, Data Product Owner for Global Markets at CIBC. You will own data products and strategy using Databricks, Spark, and lakehouse architecture. The Quant Solutions Group builds software, analytics, and AI tools for pricing, risk, and trading. No team size stated.

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.

Google★4.3 (6.2k)· London

You'll work with Google Cloud AI offerings (Vertex AI, Gemini, ADK), multi-agent systems (LangGraph, CrewAI), coding agents, and open-source developer tools. You drive partner recruitment and adoption of Google Cloud services, coordinating Forward Deployed Engineer resources and supporting partner teams embedding in enterprise accounts.

Lead a team of engineers building open-source workflow orchestration for n8n. This first-line manager role focuses on either the Governance & Observability team (audit logs, admin controls) or the Licence & Billing team (subscriptions, payments, usage tracking). You will work with modern SaaS technologies in a high-growth environment, directly managing engineers.

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

Engineering Manager for n8n, an open workflow orchestration platform. You will lead an engineering team focused on either Governance & Observability (audit logs, monitoring, admin controls) or Licence & Billing (subscriptions, payments, metering). This is a first-line engineering leadership role.

Lead and coach large teams of Software Engineers using Java, JavaScript, and cloud technologies. The role oversees Development teams building software for an instantly recognisable firm.

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.

You will lead a team using TypeScript, Node.js, and React on AWS serverless, microservices, and event-driven architectures. The Affinidi Elements team builds a decentralized digital identity platform that gives users control over their data. You will guide the engineering team in delivering high-quality, secure features.

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.

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.

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.

Lead an engineering team using Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL on Windows/UNIX. Manage offshore resources while writing advanced code, performing code reviews, and developing architecture for LexisNexis Risk Solutions' data and analytics products that help customers evaluate and predict risk.

You will work with Android, Kotlin, Java, and AI tools, managing engineers across multiple teams and locations for the Watch Software Telemetry team. This team provides tools, pipelines, and infrastructure for metrics collection, data analysis, and insight generation to accelerate quality improvements for Wear OS, Pixel Watch, and Fitbit. You will oversee large-scale project deployments and a large product budget internationally.

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.