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.

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.

Equinix★3.7 (391)· London

Leading engineering pods building the orchestration layer, agent capabilities, dashboards, and enterprise integrations for Equinix's software delivery lifecycle platform. Work involves LLM-powered applications, agentic systems (MCP/A2A), APIs, event-driven systems, and cloud platforms.

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.

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.

This role involves leading mobile engineering as part of a digital consultancy that builds digital products and services for major organisations. No specific technologies, tools, or team size are mentioned in the listing.

International Rescue Committee★4.2 (794)· London

Lead a newly created AI security function at a humanitarian NGO, defining the strategy, building and developing a dedicated team, and owning the budget. You will set technical security requirements for AI agents and tools, perform risk assessments, and partner with IAM, Privacy, and Legal teams to ensure secure-by-design AI adoption. The role covers the full AI lifecycle from design to production, including red teaming, a governance registry, and managing review SLAs.

Lead a small mobile team building iOS and Android consumer products at a client. You will set technical direction across both platforms, work hands-on with code, and drive AI-assisted delivery using skills, agents, and spec-driven development. The role includes line-managing engineers and owning the team’s performance, delivery, and growth.

Fresha★3.0 (8)· London

Lead and shape security strategy, owning controls across endpoint, network, cloud, identity, and application environments. Work with engineering and IT to integrate security early, running pentesting, vulnerability management, incident response, threat intelligence, and automated threat modeling with AI. This role owns Fresha’s security posture for its all-in-one booking, payments, and operations platform for beauty and wellness businesses, operating under PCI DSS, HIPAA, and SOC 2.

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 small mobile team building consumer iOS and Android products for a client. You will drive mobile architecture, use AI-assisted development tools and agents, and champion spec-driven delivery. This is a hands-on leadership role at a digital consultancy.

You will work with iOS and Android, using AI-assisted delivery tools including reusable skills, agents and spec-driven development. As a hands-on Engineering Manager, you lead a small, autonomous mobile team embedded with a client, building consumer products and line-managing the engineers.

Lead and architect the Salesforce ecosystem (Sales, Service, Experience Clouds) using Apex, LWC, and DevOps practices while driving the Agentforce AI and Data Cloud strategy. Manage a small team of 4-6 developers as hands-on technical lead at 2U, the parent company of edX powering online higher education.

You'll build and lead a team of 10+ engineers developing a compiler stack for Fractile's novel AI accelerator hardware, using technologies like MLIR or TVM to enable industry-leading LLM inference performance. The company is designing a full-stack AI accelerator from the ground up; the compiler team works closely with hardware, driver, runtime, and ML engineers across the stack.

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.

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.

Spotify★4.1 (116)· London

Lead a team of six engineers on Spotify’s Data Platform, managing its event delivery system that processes trillions of events daily and its data pseudonymisation infrastructure. You will drive technical strategy for these large-scale distributed systems and invest in engineers' career growth.

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.

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.

You will work hands-on with BigQuery, dbt, Looker, Python, and data pipelines. Leading a team of five (analytics engineering, data science, data engineering), you own execution of the data roadmap for Mojo Mortgages—building the UK’s most intelligent mortgage broker using AI across the customer journey and driving initiatives like a unified customer view and real-time analytics.

Flo Health★4.8 (26)· London

Lead a team building shared AI infrastructure powering Flo’s chatbot, cycle predictions, and health insights. Work with Databricks, OpenAI, Anthropic, and AWS, managing MLOps, model serving, and LLM stacks in production.

Trainline★3.9 (17)· London

Manage a new team of MLOps Engineers using AWS, Docker, Terraform, CI/CD, MLflow, Airflow, Python, and Spark/PySpark. The team deploys and operates batch and online ML models—recommendation systems, LLMs, classification, regression—for Trainline’s rail ticketing platform. You will define MLOps practices and infrastructure to productionise AI products at scale.