Use SystemVerilog, UVM, and Python to verify complex silicon for next-generation AI compute hardware. Develop reusable testbenches, verification plans, functional coverage, and assertions while building automation and influencing verification methodology alongside architecture, RTL, and software teams.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ) and inference engines (vLLM, TensorRT-LLM). You'll own the model layer for Presential Limited, building privacy-layer AI for tier-1 banks to securely use sensitive data with external models.

Founding Engineer role at a London AI startup building an agentic platform for civil engineering. You’ll work with Python, GCP (Cloud Run, Pub/Sub, Postgres), React, Terraform, and LLM techniques like RAG and MCP, owning backend architecture and AI integration directly with the CTO.

The intern will use Python (Pandas, NumPy), AWS (Kubernetes, Kafka), APIs, Snowflake, Streamlit, Git, Docker, Helm, and CI/CD. They contribute to front office software tools for real-time trading, market data analytics, and visualization, and work with the commercial trading team to optimize pricing models and trading workflows. The role is with Castleton Commodities International, a global energy commodities merchant and infrastructure investor.

Work with generative AI, autonomous agents, and real-time rebalancing systems to manage paid spend across TikTok, Meta, and Snap. Build a systematic marketing engine for EQUALS, a London-based music social network with 1 million monthly active users. Apply advanced mathematics and frontier AI to optimize a live portfolio for global user growth.

You will develop novel ML architectures using GNNs and foundation models in PyTorch or JAX. You will drive the core discovery engine of an autonomous laboratory that accelerates materials innovation through a closed-loop system bridging simulation and physical experiments.

You'll work with Python, modern ML tooling, LLMs, and simulations, owning the AI/ML stack including model selection, fine-tuning, and inference infrastructure. Prior Foundry builds specialized AI agents and inference systems to solve complex global policy problems for the public sector in social science and public policy.

You will work with Python, AWS, and Kubernetes as a Junior Fullstack Engineer at AethexAI Inc. The company builds voice AI infrastructure for emerging markets in Africa and the Middle East, processing thousands of daily calls with proprietary speech models. You will support the Forward Deployed Engineering team on custom integrations and platform fixes for enterprise clients.

Work with Svelte/TypeScript, Python (FastAPI, Django), PostgreSQL, and AWS. Tab is a YC-backed London travel fintech building a payments platform for 100,000+ global tourism businesses, processing thousands of real-time transactions per hour. You will develop features across the stack and collaborate in a tight-knit engineering team.

You will own back-end infrastructure and data strategy at a seed-stage startup building gas sensors and AI that predict food freshness. You will build scalable GCP pipelines, design APIs with Python and FastAPI, and develop full-stack solutions for a mission-driven team of under 20.

You will work with Python, FastAPI, LLMs, RAG architectures, chain-of-thought prompting, and multi-agent tool use. The Science team builds cognitive architectures to create synthetic populations for behavioral prediction, using LLMs to simulate human responses with 95% accuracy.

You’ll use Python, Docker, Kubernetes, CI/CD tools, cloud platforms (AWS, Azure, GCP), and IaC tools like Terraform or Ansible, with AI frameworks such as PyTorch or TensorFlow. As an Applied AI Engineer at Mistral, you’ll onboard customers and deploy production AI solutions across infrastructure, back-end, and front-end. No team size is stated.

Senior AI Engineer, 12-month fixed-term, hybrid. Will build production AI solutions using LangChain, LangGraph 1.2.x, DeepAgents, and Azure AI Foundry. Requires expertise in agentic AI, Python, React, and coding agents like Claude Code, with a strong engineering foundation (TDD, design patterns).

Build LLM and ML systems for document ingestion, fraud detection, and coverage decisions to automate insurance claims processing. You will work with production-scale LLMs, NLP, and machine learning systems to ship AI-driven workflows for this Y Combinator-backed London fintech.

Work with Python, LLMs, RAG pipelines, agentic frameworks, and integrations with Google Ads, Meta, and CRMs to build production-grade agentic systems. You will design and deploy AI teammates that automate end-to-end marketing operations—from campaign briefs to paid media analysis—for high-growth brands.

Lead AI Engineer role working hands-on with Python, LLMs, AI agents, RAG, vector databases, and cloud-native distributed systems to design delivery of production AI agents and intelligent workflows. You'll architect scalable AI platforms, mentor engineers, and set engineering standards for a fast-growing AI-native company building enterprise AI products for global industrial organizations within a global software enterprise.

You will work with Python, LangGraph, Strands, CrewAI, and OpenAI/Claude Agent SDKs, plus AWS Bedrock, ECS Fargate, Lambda, and Step Functions to design and evolve multi-agent LLM pipelines. The platform is a production-grade AI-powered brand analytics tool that orchestrates models like GPT, Claude, and Perplexity through a proprietary MCP server.

You'll work with Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/message-driven architectures, building clean, tested code for NatWest Boxed's technology product. As part of a cross-functional mission team, you'll collaborate with stakeholders, support junior engineers, and act as a subject matter expert.

Work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. You'll build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Join a profitable, lean team of nine as one of the first developers.

You'll use Python, React, and TypeScript to build full-stack applications, backend services, APIs, and microservices. You'll develop real-time trading dashboards, analytics platforms, and data visualizations for an elite FinTech firm supporting trading and operational platforms.