Google★4.3 (6.2k)· London

Manage engineers building Google’s Learning Platforms within the Global Business Organization, which powers Google’s ecosystem of products and services for customers and partners. Work with back-end languages (Java, Python, Golang, C++) and front-end (JavaScript, TypeScript, HTML, CSS), plus ML model fine-tuning and evaluation.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

Work with Nvidia GB200 72NVL CX8 and AMD MIxxx architectures, coding in C, C++, C#, Java, JavaScript, or Python to benchmark, profile, and debug GPU clusters. You will help build foundational models powering Microsoft’s personalized AI assistant, Copilot, spanning training and inference infrastructure, model architecture, and data curation.

Research, develop, and evaluate state-of-the-art deep learning models for volumetric CT data using Python and PyTorch. You will contribute to self-supervised pre-training of large 3D foundation models and specialize models for segmentation, classification, and regression to support clinical-trial and real-world evidence programmes. The role is within the Machine Learning function at Qureight, which builds an AI-powered imaging platform for lung and heart disease.

White & Case★4.0 (120)· London

Works with Python, JavaScript, MCP, agentic AI frameworks, LLMs, and cloud platforms (Azure, AWS) to architect and deploy AI tools. As technical lead of the Applied AI Lab, the role oversees design, development, testing, and deployment of AI solutions to support legal practice and firm-wide innovation. Manages and develops a multidisciplinary team of legal engineers.

You will work with Python, JavaScript, Model Context Protocol (MCP), agentic AI frameworks, LLMs, and cloud platforms (Azure, AWS). As technical

Build and scale data pipelines for large video generation models using AWS S3, DynamoDB, Kubernetes, Python, and PyTorch. You will design annotation workflows across MTurk and Prolific, and train smaller supporting models for data filtering and quality assessment. Cantina Labs is a social AI company developing real-time character models.

Citi★3.9 (21k)· London

Build and scale AI-powered financial systems using Java, Spring, React/Angular, Python, FastAPI, Docker, and GitHub Copilot within Citi’s global tech environment. You will design generative AI agents, LLM workflows, and RAG pipelines while working on enterprise microservices, mobile, or front-end development. This role is for an individual contributor on an agile team.

Work with Python and modern deep learning frameworks to develop and train models for face verification, liveness, and attack detection. You will drive research projects in computer vision and machine learning for iProov's biometric identity assurance systems, prototyping new products and improving data and evaluation strategies.

Work with AWS, Kubernetes, Slurm, PyTorch, and distributed training frameworks to build foundation model AI for physical intelligence, enabling robots to learn tasks from a single human demonstration. This hands-on role focuses on GPU compute optimisation, cluster scheduling, and high-performance networking within a small, elite team in London.

Deloitte★3.9 (14k)· London

You will work with Python, JavaScript, Kafka, Azure, Kubernetes, Terraform, Helm, LangChain, PySpark, Databricks, and ADLS. You will design, develop, and deploy production-grade GenAI and machine learning systems for the GenAI team within Deloitte’s Data & AI organisation.

You will work with Python and PyTorch to build production-quality computer vision and deep learning models. The team develops platforms that make physical environments safer and more intelligent using real-time AI. You will own research from problem formulation to deployment, publishing at top venues and shipping at scale.

You will work with Python, PyTorch, TensorFlow, MLOps, CI/CD, and cloud-based AI systems. You will lead the technical strategy for production ML systems that transform raw sports data and live video into real-time insights and personalised fan experiences. You will mentor engineers and data scientists while owning technical direction and delivery.

Accenture★3.9 (29k)· London

You will work with Python, LangChain, LangGraph, AutoGen, FastAPI, REST APIs, vector databases, Git, CI/CD, and cloud platforms (Azure, GCP, or AWS) to build, deploy, and iterate on machine learning and generative AI solutions for clients across industries.

You will work with LLMs, generative AI, Python, JavaScript, React, HTML, CSS, Microsoft Azure, and DevOps tools (CI/CD, Git). You will design, build, and deploy AI applications that enhance productivity, automate workflows, and support business decision-making across a growing technology function.

Checkout.com★3.8 (15)· London

You will work with LLMs (GPT, BERT, Llama, Gemini), Python/JavaScript, AI frameworks (LangChain, PydanticAI), cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and Terraform. As part of Checkout.com’s AI Centre of Excellence, you will design, build, and deploy Generative AI solutions (chatbots, assistants, knowledge extraction tools) to enhance products and streamline business processes.

Spotify★4.1 (116)· London

Work with Python, PyTorch, NumPy, and diffusion/flow matching models for generative audio. Join Spotify's Artist-First AI Music Lab to research vocal synthesis, post-training alignment, and audio editing, creating new listening experiences for fans and artists. Conduct large-scale experiments using Spotify's infrastructure.

Work with Python, SQL, and ML stacks (PyTorch, TRL) to build evaluation and data pipelines for LLMs and AI coding agents. The team owns how AI agents generate, analyze, and improve Kotlin code across Android, KMP, and server platforms, creating benchmarks and post-training pipelines.

You will work with Python, PyTorch, and geometric deep learning methods (e.g., NeRF, SLAM, VIO, feature matching) to build scene matching, geo-registration, and 3D reconstruction systems for defence AI. The team specialises in scene understanding and localisation, delivering AI capabilities for machine perception and human decision-making under real-world hardware and adversarial constraints.

You will work with Python, TypeScript/JavaScript, Java, or C++ and cloud platforms (AWS, GCP, Azure) to build and deploy end-to-end generative and agentic AI applications, create training datasets, and design evaluation pipelines for LLMs. The Global Public Sector team builds custom AI applications for government clients, impacting millions of citizens.

You'll architect and deploy AI systems generating ad creatives using LLMs, vision and diffusion models, code generation, and multimodal asset generation, working with Python, JavaScript/TypeScript, and HTML. The Creative GenAI team at Liftoff—an AI-powered performance marketing platform serving 6,600+ mobile businesses—tackles end-to-end creative production including interactive playables, from prototyping through production pipelines. You'll report to the Senior Director of Creative GenAI, mentor engineers, and drive innovation in generative AI for ad tech.

9fin★0.0· London

You'll work with open-weight LLMs (Llama, Qwen, Mistral, Gemma), fine-tuning techniques, synthetic data generation, and AWS infrastructure to build domain-specific financial models. 9fin provides an AI platform for global debt markets, serving 300+ institutions with proprietary credit data and workflows. You'll lead end-to-end model development, improve model performance on financial and legal tasks, and collaborate cross-functionally in a fast-paced startup environment.

You'll work with Python, C++, and related languages to develop world models, 3D/4D scene representations, and robotic planning systems at Reka, an AI research lab building foundational intelligence for physical world applications including robotics, wearables, and media. The role involves collaborating with ML researchers on multimodal generative models and hardware teams to ensure sim-to-real performance across robotic platforms.

You'll develop world models, foundation models, and reinforcement learning systems using Python and PyTorch, focusing on areas like diffusion-based generative modeling, spatial AI, and multimodal learning. Wayve builds embodied AI software and foundation models that enable autonomous vehicles to perceive and navigate complex environments without maps. The role requires 3+ years deploying ML systems in production, a PhD or Master's in ML/Computer Vision/Robotics, and publications at top-tier conferences.

You'll work with large language models, ML frameworks like JAX/PyTorch/TensorFlow, and scientific tools including NumPy and SciPy to develop LLM applications for drug discovery. Isomorphic Labs builds AI models for accelerated drug design and molecular modeling, applying frontier AI beyond AlphaFold to unlock faster breakthroughs in medicine. Depending on experience, you may lead ML research projects, provide technical mentorship to the research community, and shape the research roadmap.