Build and ship production ML models using modern frameworks (PyTorch preferred) to analyze single-cell multi-omics and functional assay data. You’ll work at a TechBio company using patient tissue data to drive disease understanding from cause to cure.

Build and improve the ML platform powering a proactive AI assistant, working with Python, Kubernetes, and cloud infrastructure. The product handles long-running workflows, multi-step reasoning, and external tool interactions for everyday tasks.

Work with React, TypeScript, Python/Node.js, Next.js, NoSQL/Relational databases, Docker, and cloud deployments. You will collaborate with public sector clients to build full-stack AI applications and custom LLM training data. Scale’s Global Public Sector team applies AI to critical government challenges.

Anthropic★5.0 (1)· London

You will work with Q-Sys, Google Meet, Logitech, Lua scripting, Netgear AV-over-IP switches, and DSP. As an AV Engineer at Anthropic—which builds reliable, interpretable AI systems—you will design and implement AV solutions for new office builds across EMEA to enable frictionless collaboration for AI safety research.

You'll build production data pipelines using Apache Spark (PySpark), Databricks, Delta Lake, and SQL, with Unity Catalog, CI/CD, Terraform, MLflow, Kafka, and cloud platforms like AWS/Azure/GCP. Unifeye is a Databricks-first consultancy delivering Lakehouse data platforms for enterprise clients. No team size is stated.

Xelix★0.0· London

You’ll lead design and delivery of production-grade AI solutions combining machine learning, LLMs, and robust engineering, architecting complex agent-based workflows and tool ecosystems. You will work with modern AI-assisted development tools and define evaluation frameworks. Xelix automates financial controls for enterprise Accounts Payable teams.

You will work with Python, Django, FastAPI, PostgreSQL, AWS, and distributed async workers. The team builds an AI platform that processes purchasing records and recipes to measure and reduce carbon emissions for the food industry. You will own the backend for a core product in an eight-person startup.

Databricks★3.0 (21)· London

Lead a team of pre-sales Solutions Architects using the Databricks Data + AI Platform, Big Data, AI, and cloud technologies. The team drives adoption of the platform in the UK&I Retail and Consumer Packaged Goods sectors, supporting complex sales cycles and partner go-to-market strategies.

Amazon★3.5 (56k)· London

You will work with Java, C++, or C# and build large-scale distributed systems as part of Amazon's IAM group, which protects customer and corporate data. This is a greenfield initiative focused on security innovation through data exploration and machine learning. The role requires cross-functional collaboration across multiple teams and technologies.

MUFG★3.3 (1k)· London

Senior AI engineer in MUFG's Global Markets Engineering Office; role builds AI solutions using generative AI, agentic workflows, RAG, prompt orchestration, workflow automation, and data-driven decision-support tools. The position identifies, designs, and embeds AI solutions to improve productivity, control effectiveness, and operational resilience within a specific business product line.

Macquarie Group★3.8 (315)· London

This global technical leadership role uses AWS and/or Google Cloud, LLMs, agentic systems, tool-calling, and workflow orchestration to design and deploy AI solutions at enterprise scale. The role sits within Commodities and Global Markets, which helps clients manage financial and commodity market risks, access capital, and trade physical commodities. The position has global scope, spanning business enablement, application design, and intelligent automation across the group.

Take full ownership of technical architecture and end-to-end product development on an existing MVP, evolving it into a robust, scalable platform using undisclosed technologies. You will build the infrastructure for the creator economy, replacing manual spreadsheets with long-term community software for a London-based startup already partnered with high-profile UK brands and Kylie Jenner's K2O. As Founding CTO, you will recruit, lead, and mentor the engineering team as it scales following an upcoming funding round.

Lead the technology strategy of a VC-backed B2B marketplace scale-up, evolving its platform and architecture to handle massive order volumes. Work across the full stack, leading data and AI initiatives for demand forecasting, personalized discovery, and automation, while scaling a 40-person product and engineering function through a 10x revenue phase.

You will work with Python, TypeScript, React, AWS, and Pulumi to build distributed infrastructure and AI systems. This role focuses on automating complex workflows in physical industries like aerospace and healthcare, building scalable backend systems and managing GPU orchestration for a seed-stage industrial AI startup.

Meta★4.0 (1.1k)· London

Work with Objective-C/C++/Swift and the iOS SDK to build and optimize complex iPhone/iPad applications. Meta builds social technologies that connect billions of people and is advancing toward immersive augmented and virtual reality experiences.

Architect and build scalable backend systems and APIs using Node.js, TypeScript, PostgreSQL, and event-driven architecture. You will integrate services with LLMs and AI models to automate property management workflows for Felicity, an AI assistant. As the most senior backend engineer, you will mentor the team and establish engineering standards.

Xelix★0.0· London

Work with Python, LLMs (hosted and self-hosted), traditional ML (e.g. gradient boosting), SQL, and pandas to design and build production AI systems for automating Accounts Payable workflows. You will develop agent-based systems, fine-tune models, and write clean, scalable code for the AI Engineering team at this Series-B financial-controls scale-up.

You'll develop and refine LLM agents, designing scaffolding, running research experiments, and building internal benchmarks to improve reasoning and probability distributions. Mantic is a London-based AI startup that builds systems for judgmental forecasting of geopolitical and economic events.

Design, build and operate production agentic AI systems using Python, LLMs (Azure OpenAI, Anthropic, open models) and frameworks like LangGraph, LangChain, LlamaIndex, as well as MCP servers, vector databases, RAG, and observability tools. The team delivers reliable, audit-ready AI for banking, insurance and fintech clients at a global IT solutions provider.

Use vulnerability scanning tools and CIS/NIST baselines to harden cloud services, while applying AI Development Risk Frameworks to LLM features and MCP integrations. You’ll join the Security Engineering & Operations team protecting patient and NHS data across accu

Anthropic★5.0 (1)· London

Support macOS, ChromeOS, iOS, Android, Google Workspace, Slack, GitHub, Atlassian, and write Bash/Python scripts for automation. This IT Operations role at Anthropic, an AI safety company, handles employee hardware/software support, onboarding, and process improvements.

Kaluza★5.0 (1)· London

In this pre-sales engineering role, you'll build mock backends and demo infrastructure using Node.js, TypeScript, React, REST/GraphQL APIs, AWS, PostgreSQL, DynamoDB, and Terraform, leveraging LLMs like Claude and Gemini for rapid prototyping. You'll support Kaluza's Energy Intelligence Platform, which uses data and AI to help energy companies transition to clean energy, by creating technical assets for client validation. The role involves mentoring the pre-sales team on API design and GenAI workflows.

Work with Python, modern AI platforms, LLMs, APIs, distributed systems, MCPs, and tool-use frameworks to build AI-powered applications, assistants, and agentic workflows. You will drive AI adoption across QRT’s High Frequency Trading business, creating tools that improve productivity in research, development, and trading operations.

You will work with LLM integration, prompt engineering, evaluation pipelines, APIs, data plumbing, and AI-assisted tools like Claude Code, Cursor, or Codex. weframe builds custom AI/tech systems for business owners, embedding directly with client teams to scope and build AI-powered solutions. You'll report to the technical co-founder on a small, hands-on team.

You will design and implement data pipelines and ETL processes using Microsoft Azure tools (Data Factory, Azure Synapse, Azure Databricks), PostgreSQL, T-SQL, and Python with Pandas and PySpark. Your team builds cutting-edge Agentic solutions for internal and global customer use, curating datasets and maintaining the data lake.