Deloitte★3.9 (14k)· London

You will work with large language models, prompt engineering, retrieval-augmented generation, orchestration frameworks, and cloud platforms (Azure, AWS, GCP). As a GenAI Solution Design lead in Deloitte's AI Scaling & Transformation team, you design enterprise-grade GenAI solutions for Security & Justice clients in regulated environments. This Senior Manager role involves overseeing delivery across multiple workstreams and leading mentoring delivery teams.

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.

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 a hands-on founding engineering role building AI agents for data privacy compliance at Pyxos. Own the control plane, agent architecture, model-abstraction layer, telemetry, evaluation harnesses, and expert knowledge system using LLMs, multi-step agentic workflows, and CI/CD pipelines. You will work with a production system serving enterprise customers, hiring a deliberately small team as the most senior technical leader reporting to the CEO.

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

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.

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.

Deloitte★3.9 (14k)· London

You will work with AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001) and manage agentic AI, GenAI, and data analytics risk initiatives. As a Manager in Deloitte’s AI governance team, you lead projects that design and implement trustworthy AI strategies for Financial Services clients.

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.

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.

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.

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.

Accenture★3.9 (29k)· London

Design, build, and operationalize AI/ML solutions using Python, TensorFlow, PyTorch, Deep Learning, Generative AI, LLMs, and MLOps/LLMOps pipelines. The role delivers production-ready outcomes for enterprise clients across the full solution lifecycle, from assessing data to deploying scalable systems on cloud, HPC, and edge devices.

Google★4.3 (6.2k)· London

Lead a squad of AI/ML engineers using Python, AI/GenAI tools, multi-agent workflows, RAG systems, Model Context Protocol, and foundation models. The team codes and deploys bespoke agentic solutions within customer environments for Google Cloud, which delivers enterprise-grade digital transformation. Manage a forward deployed engineering team, providing technical mentorship and setting code standards.

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

The Engineering Manager leads Scale AI's International Public Sector team, building custom AI applications and the Generative AI Platform for public sector clients. The team focuses on backend services for AI agents, evaluation tooling, generating training data for national LLMs, and advisory services.

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.

Figma's Developer Tools team is building solutions for frontend and full-stack developers, including Dev Mode, MCP, Code Connect, and emerging AI-powered features. You'll manage a team of product engineers across this initiative—a major focus spearheaded from London—defining strategy and roadmap while providing hands-on technical leadership. The role emphasizes AI product experience, building high-performing teams, and balancing innovation with execution.

Waymo★3.0 (61)· London

Waymo's Simulator Team develops state-of-the-art simulations using machine learning, large language models, foundational world models, and rendering techniques to evaluate and train the Waymo Driver autonomous system, modeling realistic environments including agents, road elements, weather, and sensor suites (camera, lidar, radar). As Director of Engineering for the London Sim Realism team, you will lead recruitment and mentorship of ML engineers, software engineers, and data scientists; define technical roadmap for generative models for sensor and semantic-level simulation; and serve as executive liaison between Waymo's Foundation Model initiatives and Google DeepMind in the UK.

Checkout.com★3.8 (15)· London

You'll lead a data platform team building infrastructure for petabyte-scale analytics and AI systems at Checkout.com, a payments processor handling 10 billion daily transactions. Core technologies include Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, Cloudwatch), GCP BigQuery, with beneficial knowledge of Airflow, Kafka, Flink, dbt, and Kubernetes. You'll manage a team of junior and senior data engineers while ensuring regulatory compliance, delivering quarterly roadmaps, and overseeing AI governance and GenAI production infrastructure.