Founding Backend Engineer role at a VC-backed collaborative AI startup. You will architect infrastructure for an agentic collaboration platform, owning backend systems using TypeScript, Node.js, and PostgreSQL, and building real-time workflows for enterprise clients.

Lead, coach, and mentor engineers using Java and JavaScript frameworks. The client is a healthcare provider building modern, scalable products to deliver world-class patient experiences across the UK as part of a digital transformation.

You will build interactive 3D subsurface visualizations using WebGL/Three.js and collaborate with the ML team to integrate explainable AI models. The role involves owning the user experience for a subsurface mapping platform that helps global mining leaders make drilling decisions. You will be the first product engineer at Material Difference, a venture-backed Cambridge University spin-out.

You'll work with Python, FastAPI, TypeScript, React, and GCP to build services, data models, and APIs for a behavioral simulation platform that creates "digital twins" of populations. The team of 17 at Electric Twin is building this platform to help organizations predict human behavior with 95% accuracy.

Build features with React, TypeScript, and Python or Node.js, designing data pipelines and analytics for a database of 9M+ clinician profiles. G LNK is an AI-powered healthcare commercial intelligence platform using LLMs, vector search, and semantic retrieval to connect pharma with medical experts. You'll work directly with the CTO and CEO.

You will lead technical design and development using Java, Spring Boot, Microservices, and Event-Driven Architecture, alongside Azure and Kubernetes. You will drive cloud-native digital transformation for a FCA-regulated financial services client, delivering secure, scalable enterprise platforms. The team scope is not stated.

Wise seeks an Engineering Lead for its Account Management team, working with a JVM codebase (Java/Kotlin) and Spring Boot. The role involves leading engineers, staying hands-on with code, and owning the technical roadmap for the current account and everyday banking products that handle how customers hold, organize, and move money.

This Junior Software Engineer role uses Python, Node.js, PostgreSQL, MongoDB, React, and AWS to build backend services, APIs, and frontend applications while supporting commercial machine learning model deployment.

Use Java 17+, Spring Boot, Oracle SQL, document-store databases, Kubernetes, Jenkins, and GitHub Copilot to build high-performance, mission-critical systems that provide end-to-end visibility into payment lifecycles for an investment bank. You will also mentor junior engineers, conduct code reviews, and design scalable back-end solutions.

You'll work with AI agents, LLMs, test frameworks, CI tooling (GitHub Actions), and observability stacks (Datadog, Sentry, Grafana) to automate quality across Lendable's fintech credit products. The role enables cross-functional product teams to maintain high quality through hands-on coding, AI-assisted test authoring, and shift-left practices.

Senior Quality Engineers will build AI Agents, test frameworks, CI tooling and helpers using LLMs and AI tooling, working with GitHub Actions and observability (Datadog, Sentry, Grafana) across an AI-assisted testing function. The team defines Lendable's test pyramid, improves E2E automation, and partners with product and engineering to shift quality left across credit products.

JPMorgan★3.9 (20k)· London

In this role, you will work with Go, Python, Java, Kubernetes, Terraform, and public cloud providers like AWS, Azure, or GCP. You will help build a new Identity and Access Management (IAM) team within JPMorgan's Public Cloud Engineering organization. As a Lead, you will guide architecture, mentor engineers, and drive platform services for cloud infrastructure.

You will use PyTorch or JAX, Python, and DFT packages like VASP or Quantum Espresso to develop machine learning interatomic potentials (MLIPs) that accelerate discovery of advanced functional materials by integrating ML with first-principles physics and automated experimental data.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ) and inference engines (vLLM, TensorRT-LLM). Presential Limited builds the privacy layer for enterprise AI, enabling tier-1 banks to securely use sensitive data with external models. As founding AI engineer, you’ll own the model layer and ship production solutions.

You will work with Python, Django, data pipelines, algorithms, and machine learning models to build an AI-powered engine that automates electronic circuit board design from requirements to manufacture-ready outputs.

You'll work with Java (8, 17, 21), React/TypeScript (or Angular/Vue), and REST APIs to sustain current environments and deliver new capabilities across full-stack development. You will also mentor less experienced engineers through code reviews and technical guidance.

You will lead a UK data team across Data Science, ML Engineering, Analytics Engineering, and Data Engineering, working with GCP, Databricks, and Redshift. The team supports Juniper, a weight-management program combining GLP-1 medication with clinical and behavioural care. You will manage 4-5 people and oversee migrations from Databricks and Redshift to GCP.

Imperial College London★4.2 (238)· London

Wellcome Trust-funded postdoc at Imperial College London developing deep neural networks for volumetric voltage imaging of mammalian brains, using optimisation, signal processing, lightfield imaging, and model-based deep learning/training.

You will work with Python, deep learning image models, machine learning and large image and tabular datasets. The KYC Global and Onboarding Team implements ML models and systems supporting Document verification for customer onboarding. You will own the full lifecycle of these models and mentor junior team members.

Glasswall★0.0· London

You'll work with C++, C#, Python, Assembly, and tools like static/dynamic analyzers, debuggers, disassemblers, detonation chambers, and agentic AI. As a Senior Security Researcher on a small team, you'll investigate threats to Glasswall's Content Disarm and Reconstruction technology through vulnerability research, penetration testing, and malware analysis.

In this role, you will conduct security assessments, develop policies, and identify vulnerabilities for AI systems and applications. You will provide compliance expertise and collaborate with cross-functional teams.

Flutter Entertainment★3.9 (96)· London

You will use generative AI coding tools (ChatGPT, Claude, Midjourney) and Python for prototype development, while conducting technology horizon scanning and evaluating new AI platforms. The Frontier R&D team identifies and prototypes emerging technologies over a 12-36 month horizon for Flutter’s betting and gaming brands. This is a graduate-level individual contributor role.

You will design and train custom deep-learning models and fine-tune large language models using Python, TensorFlow, or PyTorch. The work involves leading research for Kangal AI, a venture building frontier AI for governments and security clients. You will own the entire model stack and scale a research team as a founding hire.

Brown-Forman★3.6 (194)· London

The Marketing Director will drive AI transformation within the marketing organization, leveraging advanced AI, the existing MarTech stack, and tools like generative AI and automated dashboards. This role defines and implements the company's marketing AI strategy across the entire marketing ecosystem, optimizing processes such as brand planning, campaign development, and media planning. The position leads and collaborates within a cross-functional AI Center of Excellence (COE).

Senior Customer Success Manager role owning client relationships for a secure AI knowledge platform that helps lawyers draft, negotiate, and review contracts. You will drive adoption of AI-powered workflows (machine learning, generative AI, language analytics) on a small, fast-moving team.