You'll work with Python, NumPy, SciPy, Pandas, PyTorch, JAX, and deep learning frameworks to build models using operator learning, geometric deep learning, or generative models. PhysicsX is building an AI-driven simulation software stack for multi-physics engineering and manufacturing across aerospace, energy, and other advanced industries.

JPMorgan★3.9 (20k)· London

Work with KDB, Q, AWS, and optionally Terraform, Kubernetes, Python, C, C++, or Java. Develop and maintain applications storing large Options data sets for real-time and historical access within JPMorgan’s Equities Trading Data & Analytics team, migrating to AWS and re-architecting systems.

Wise★3.5 (42)· London

You will work with Java, Spring Boot, AWS, Apache Kafka, and potentially Trino. The Pricing Core team builds and maintains the main pricing platform that enables Wise to price its products, processing over 100 million requests daily across critical paths.

You’ll work with Python, FastAPI, TypeScript, React, and GCP. Electric Twin builds a behavioral simulation platform that creates “digital twins” of real populations, helping organizations test decisions with 95% accuracy.

You'll work with Python (FastAPI/Django), Svelte/TypeScript, and AWS to build features across a payments and discovery platform. Tab is a YC-backed travel fintech enabling 100,000+ global tourism businesses to accept payments in 100+ currencies.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ), vLLM, TensorRT-LLM, FlashAttention, and frameworks like Apple MLX or llama.cpp. The founding engineer will own the model layer, shipping production AI for a pre-seed startup building privacy solutions for tier-1 banks.

You will build the AI platform for a London fintech that automates insurance claims, using LLMs, NLP, and ML for document ingestion, fraud detection, and coverage decisions. You will develop and deploy production-scale systems alongside founders and insurance domain experts.

You will work with C#, Python, TypeScript, JavaScript, React Native, AWS or Azure, and various databases (relational, graph, document, key-value) plus SQL. The role supports critical projects aligned with Net Zero ambitions.

You will work with Java, Spring Boot, microservices, REST APIs, AWS, DevOps and CI/CD pipelines. You’ll lead client projects for a global technology consultancy, mainly in financial services, focusing on migrating legacy systems to AWS and introducing cloud deployments. As Principal Java Developer, you will lead projects, but team size isn’t specified.

Build UI components using Vue.js, React, or Angular, plus JavaScript, HTML/CSS, and Figma. You'll join TransPerfect TechOps, which develops workflow improvements, core services for the GlobalLink platform, and scalable client interfaces. Work within an Agile (SCRUM/Kanban) team.

NatWest Group★3.7 (1.2k)· London

Leading a team building cloud-hosted, event-driven microservices at NatWest Boxed, you will manage software and quality engineers across empowered squads while working with AWS, Google Cloud Platform, Java, Python, JavaScript, ReactJS, AngularJS, Kafka, Hadoop, PostgreSQL, Snowflake, and GitLab.

Imperial College London★4.2 (238)· London

You will use Python, PyTorch, NumPy, SciPy, Pandas, Anaconda, Jupyter and discrete-event simulation to develop performance, cost and reliability models for distributed Foundation Model inference across a Cloud-Edge-IoT computing continuum. The research, part of the f-inference project, focuses on KV-store caching policies, backpressure control, and stochastic multi-layer network models.

SS&C★3.2 (1.7k)· London

Design, develop, and maintain automated test suites using C#, BDD frameworks (SpecFlow/Reqnroll), GitHub Actions, Playwright, and Selenium WebDriver. You will integrate AI-powered tools like Claude Code and GitHub Copilot to accelerate testing across Calastone's financial products, a global funds network.

Atlassian★3.9 (61)· London

Leads a team of forward-deployed engineers building AI-powered solutions with Python, JavaScript, APIs, microservices, and LLMs. The team partners directly with top organizations to apply Atlassian’s AI capabilities to solve real-world problems.

EXL Service★3.7 (2k)· London

You will work with Generative AI tools (OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock), LLMs, vector databases (FAISS, Pinecone, ChromaDB), and Python frameworks (Transformers, PyTorch, scikit-learn). As part of EXL’s Data Science Team, you’ll build and deploy GenAI solutions for enterprise use cases such as customer service, document automation, summarization, and knowledge retrieval.

HCLTech★3.7 (11k)· London

You will work with Python, Go or Java, TypeScript, REST/gRPC, Gemini 3.0, Vertex AI, BigQuery, Vector Search, AlloyDB, Apache Beam/Dataflow, Agent Development Kit, LangGraph, and GKE. The role deploys Gemini Enterprise Agent Platform, designs multi-agent systems, and builds RAG pipelines to integrate with legacy APIs and ERP systems. Clients are in FS, RCPG, LSH, and manufacturing domains.

Sonar★5.0 (2)· London

You will work with Python, core ML frameworks, and post-training techniques including GRPO, PPO, RLVR, SFT, PEFT, and preference/safety alignment (Rust or SonarQube flagship languages are a plus). You will join a cross-disciplinary team developing advanced products that post-train models to power enterprise agentic coding practices, ensuring code meets enterprise standards.

Croud★4.4 (14)· London

Leads technical SEO and Web Experience, optimising client websites for search and AI chat engines using HTML, CSS, JavaScript, Chrome DevTools, Lighthouse, PageSpeed Insights, WebPageTest, Apache configs, CLI tools, Jira/Azure DevOps, and structured data. Oversees site migrations, platform rebuilds, and technical roadmaps as Croud’s senior technical authority.