You will work with Kubernetes, Docker, FluxCD/ArgoCD, Helm, Terraform, Linux, CI/CD pipelines, and languages like Go, Python, or Java. The Developer Experience team owns and supports source control, build artifact repositories, AI-powered development tools, and other software delivery infrastructure for DRW's engineering community. You will also participate in a business-hours support rotation diagnosing CI workflows and managing central infrastructure.

You will work with Python, Java, Go, React/TypeScript, Apache Kafka, PostgreSQL, Git/GitHub, AWS, and CI/CD pipelines. As part of a client-facing delivery team at a digital engineering company, you will design and build technology-enabled platform solutions.

Fine-tune and distill SLMs (Llama, Mistral) using quantization (GGUF, AWQ) and engines like vLLM, TensorRT-LLM, plus frameworks like Apple MLX and llama.cpp. You will own the model layer for a pre-seed startup building the privacy layer for enterprise AI, shipping production solutions for tier-1 banks.

You will work with Python, FastAPI, TypeScript, React, and GCP to design and build services, data models, and APIs. Electric Twin builds a behavioral simulation platform that creates "digital twins" of populations to help organizations predict human behavior.

You'll build features using Svelte/TypeScript on the front end and Python (FastAPI/Django) on the back end, with AWS infrastructure. Tab is a profitable London travel fintech processing real-time payments in 100+ currencies for over 100,000 independent tourism businesses globally.

You'll develop novel ML architectures—GNNs and foundation models—using PyTorch or JAX, plus active learning and Bayesian optimization. The role drives the core discovery engine of an autonomous laboratory, creating a closed-loop system for AI materials discovery.

You'll work with LLMs, chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI. Electric Twin builds synthetic populations for behavioral prediction, simulating human responses for global brands using LLMs.

You will develop and deploy production-grade LLM-powered agentic systems with persistent memory, tool orchestration, and RAG pipelines, integrating with Google Ads, Meta, and CRMs. You will build autonomous agents for marketing operations at a Series A startup building an AI-native teammate for marketing teams. As the second ML hire, you will shape the production stack and product roadmap.

Work with Angular 19, FastAPI, Python, and Kubernetes. Join a 13-person team shipping high-impact features like product launches and partner integrations for Urban Jungle's insurtech platform serving 300,000+ customers.

You'll build Python backends, React frontends, and core ML systems for an AI-driven vulnerability management platform that prioritizes cybersecurity threats using attacker logic. You will own model training, evaluation pipelines, and agentic AI features.

You will work with TypeScript, JavaScript, gRPC, Redux, React Native, React, Next.js, and infrastructure like Google Cloud Platform, Kubernetes, and Docker. The role focuses on building new features and integrations for Emma’s mobile and web apps, which help users manage all their finances.

This listing is for a self-funded career programme from NEWTO TRAINING LIMITED, offering AI training and certification with a guaranteed job on completion. No specific technologies, frameworks, or tools are listed, and no project, team, or leadership scope is described.

The role involves building and maintaining the company’s platforms,

Work with SAP Hybris (SAP Commerce Cloud), Java, Spring Framework, REST APIs, SQL, relational databases, Git, CI/CD, and Agile. Develop and enhance ecommerce platforms for retail clients.

Work with Salesforce Lightning, Apex, SOQL, JavaScript, and the Force.com platform, alongside object-oriented programming (Java or C#). Use Git, Jira, IntelliJ, and CI/CD practices, with exposure to Salesforce REST APIs. No specific team or project details are provided.

Java Developer role at Matchtech using Java, Spring Boot, Spring MVC, REST APIs, microservices, SQL, MySQL/PostgreSQL/Oracle, and Git/Bitbucket. The listing focuses on backend or full-stack development requirements but doesn't specify a particular project or team scope.

The role involves C#/.NET, Java, Python, SQL databases, and cloud platforms Azure or AWS. The company is hiring a Software Developer to apply these skills.

You will work with JavaScript, Java, .Net, Python, Git, Mercurial, Perforce, Bamboo, Jenkins, TeamCity and Bitbucket. You will join Hackajob Ltd to collaboratively design and build proof-of-concept or production systems.

You will work with Java, Spring Boot, React, Node.js, PostgreSQL, ActiveMQ, and Kafka to build software as part of an agile team. The company operates as a financial services organization.

Design and develop high-performance trading and risk platforms using Java and C++. Requires 5 years of experience and prior work in financial services or trading systems.

Mid-level backend engineer role working with TypeScript/JavaScript, gRPC, Vitess, MySQL, CockroachDB, BigQuery, Redis, Google Cloud Platform, Kubernetes, Docker, Terraform, and monitoring tools like Grafana and Prometheus. You'll build Emma's personal finance app, tackling scaling, data processing, and features like overdraft prediction and subscription clustering, working directly with the CTO.

As a founding engineer at this YC-backed AI start-up, you'll work with Python, TypeScript, Java, or Go to build products that solve real customer problems from day one, collaborating directly with founders and users.

You will work with Python, build and deploy LLM-powered systems in production. The company uses AI to solve a real-world problem, and you will be one of the first technical hires, working directly with the founders.

Java Developer contract role (12 months, hybrid in London) building and enhancing RESTful APIs, web services, and scalable enterprise applications using Java, Spring Boot, SQL, and Git, with AI-assisted tools like GitHub Copilot or Claude. The client is a large multinational financial services firm providing advisory, investment, and asset management solutions.