Lead the EMEA Solutions Engineering team for Wise Platform, working with REST APIs (RESTful design, OpenAPI, OAuth2) and microservices architecture. The team helps top-tier banks and tech companies integrate Wise’s international finance products via their public API, providing post-sale technical consulting. You will build and mentor a high-performing technical delivery team, defining goals aligned with Wise Platform’s objectives.

Lead a team of Data Scientists and ML Engineers building AI solutions for financial markets using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, Python, PyTorch, TensorFlow, Hugging Face, LangChain, Semantic Kernel, Azure AI Foundry, AWS AI Services, and MLOps/LLMOps practices.

Lead Software Engineer for the PRIIP Cloud platform, owning full-stack development with TypeScript/Node.js, React, Java/Kotlin, REST APIs, event-driven architectures, AWS, Docker, and Kubernetes. The team builds a cloud-based PRIIP documentation and reporting system for regulated financial services, collaborating with compliance, quant, and product specialists. This role leads a multidisciplinary team of engineers and subject matter experts.

Wise★3.5 (42)· London

Lead a growing Solutions Engineering team in EMEA, providing technical consulting and product guidance to top-tier banks integrating Wise’s international finance products via REST API. Work with RESTful design, OpenAPI, OAuth2, and microservice architecture to architect integrations and influence the product roadmap.

Use Python, PyTorch, TensorFlow, scikit-learn, LLMs, NLP, and SQL to build and deploy ML models for trade surveillance. You'll enhance analytics that detect market manipulation by analyzing trader behavior and order execution. Collaborate

You will work with Python, PyTorch, JAX, and TensorFlow to develop optimisation, control, and machine learning methods including reinforcement learning and physics-informed ML. The role is in UCL Computer Science's Multi-Sensory Devices Group, whose research covers wearable sensing, robotics, and biomedical devices.

Waymo★3.0 (61)· London

You will use Python, deep learning frameworks (JAX, TensorFlow/PyTorch), and C++ (preferred) to develop data-selection algorithms and scaling laws for foundation model training. The AI Foundations team builds machine learning solutions for autonomous driving, focusing on reinforcement learning, generative modeling, and robust evaluation to improve the Waymo Driver. You will report to a Senior Staff Software Engineer.

DeepL★3.8 (4)· London

You will work with React, C#/.NET, and AI-powered tools like GitHub Copilot and Claude, building full-stack Enterprise features. The team, part of DeepL’s Business Acceleration Track, architects the company’s revenue and billing systems, including Identity & Access Management and subscription architectures for global enterprises.

As Multimodal Sensing and Fusion Engineer you will architect the multimodal perception front-end combining electro-optical, long-wave infrared cameras, radar, LiDAR, and inertial sensing using C/C++ or Rust and Python. Helsing builds software and AI that makes existing defence hardware more capable.

UCL★4.2 (299)· London

Work with Python, PyTorch, JAX, TensorFlow, reinforcement learning, physics-informed ML, differentiable programming, and model-based control. The role is in UCL’s Multi-Sensory Devices Group, researching wearable sensing, robotics, and embodied AI. Develop and evaluate novel methods for accurate trajectory control in complex physical systems.

Work with Python, PyTorch (or JAX/TensorFlow), RL fine-tuning frameworks like TRL or verl, and distributed multi-GPU training. The Reinforcement Learning Team advances RL, Bayesian optimisation, AI agents, LLMs, and vision-language models, applying them to AI for science, chemistry, physics, and robotics while publishing at top venues.

You will work with Python, LLM agents, inference/serving, reinforcement learning, multi-agent orchestration, search/retrieval pipelines, and modern AI coding tools. As a DeepMind Research Engineer, you bridge research and scalable systems, collaborating with scientists on machine forecasting to build 0-to-1 infrastructure, optimize LLM architectures and RL pipelines, and engineer evaluation platforms for autonomous reasoning under uncertainty.

Okta★3.9 (70)· London

Principal Forward Deployed Engineer at Okta: work with OAuth 2.0, OIDC, SAML, SCIM, OPA, Cedar, OpenFGA, AI agent platforms, and MCP. Define canonical patterns for agent identity, delegation, audit, and kill-switches across the most strategic enterprise deployments. Own the reference architecture the FDE team builds from and shape the product roadmap.

King is collecting profiles for future AI/ML, Data Science, and Analytics roles. Work may involve Python, SQL, Spark, PyTorch, TensorFlow, scikit-learn, cloud platforms and ML pipelines, supporting mobile games like Candy Crush Saga played by over 200 million monthly active users.

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.

Humanoid★0.0· London

Design and train reinforcement learning policies (PPO, SAC, offline RL) in simulation (Isaac Lab, MuJoCo) and deploy on real humanoid robots, using Python and/or C++. The work focuses on dynamic locomotion, loco-manipulation, and sim-to-real transfer for the HMND‑01 Alpha humanoid platform in industrial pilots.

JD.COM★3.8 (53)· London

You will work with Python, Java, or C++; TensorFlow or PyTorch; NLP techniques; and cloud platforms (AWS, Azure, GCP). You will design, develop, and deploy AI agents to enhance JD.com’s e-commerce and logistics platforms, focusing on customer service, supply chain optimization, recommendation systems, and internal operations.

Wise★3.5 (42)· London

Build backend

You will work with cloud infrastructure (AWS, GCP, or Azure), infrastructure-as-code, and build security tooling and automation. As a Junior Security Engineer at Helsing, a defence AI company, you will join a team identifying and reducing security risks across cloud, applications, identity systems, and products, performing threat modelling, security reviews, and hands-on testing.

You will work across cloud infrastructure, applications, identity systems, and products, using technologies like AWS, GCP, or Azure with infrastructure-as-code, container security, and cloud identity patterns. Helsing is a defence AI company building high-assurance systems for democratic nations. You will identify, assess, and mitigate security risks across the full technology stack.

DeepMind★5.0 (2)· London

Work with Python, LLM agents, LLM inference/serving, reinforcement learning for LLMs, multi-agent orchestration, and modern AI coding tools. The Research Engineer builds and scales infrastructure, models, and tools for the Strategic Bets team, transforming research hypotheses into experiments focused on autonomous systems for machine forecasting.

DeepMind★5.0 (2)· London

Work with large language models, agentic workflows, inference-time reasoning architectures, common scripting languages, and ML pipelining tools. You will conduct research to build AI systems capable of superhuman probabilistic estimation for high-stakes decision-making, focusing on structured reasoning and multi-agent workflows.

Work with Python, LLM agents, LLM inference/serving, reinforcement learning, multi-agent orchestration, search/retrieval pipelines, simulation environments, and modern AI coding tools (e.g., AGY, Claude Code, Cursor). Design, build, and scale infrastructure for frontier machine-forecasting systems, optimizing LLM agent architectures and RL pipelines to enable autonomous systems that anticipate future events and reason under uncertainty.

You will work with large language models, agentic workflows, and inference-time reasoning architectures, using scripting languages and ML pipelining tools. The team builds AI systems capable of superhuman probabilistic estimation, focusing on forecasting with no clean time series.

G-Research★3.6 (18)· London

You will lead an IAM engineering team, modernising identity services using SAML, OIDC, OAuth2, SCIM, MFA, RBAC/ABAC, PAM and directory services. The team owns authentication, authorisation, identity lifecycle and access governance, driving a unified identity model that strengthens security while simplifying access management across the firm.