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

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.

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 Snowflake, SQL, Python/Java/R, REST APIs, JSON/XML, and dbt. The Security Data Analytics team builds data pipelines, models, and automation to turn security signals into analytics-ready data for Information Security teams. This is an individual-contributor backend data engineering role.

Design, build and maintain Dynamics 365 and Power Platform solutions (including Power Apps, Power Automate, PCF controls) using JavaScript, React, Angular and TypeScript. The role supports Genomics England’s internal systems for research and clinical programmes, specifically the Newborns and Research products.

You will work with Python, TensorFlow, PyTorch, Spark, Ray, AWS/GCP, Graph Neural Networks, knowledge graphs, LLMs, and Agentic AI to lead machine learning strategies for Tripadvisor’s core discovery engine. The role focuses on building and deploying multi-objective ranking, recommendation, and user modeling systems that power search and itinerary planning for millions of users. As Principal Scientist, you will guide technical roadmap, mentor senior scientists, and bridge research with scalable production systems.

Work with React, modern JavaScript, and TypeScript to build highly responsive, scalable UIs. You will join an elite technology company developing some of the highest-performing, most complex front-end platforms in the world, collaborating with top-tier engineers across frontend, backend, and infrastructure.

You'll work with TypeScript, React, GraphQL, Node.js, Python, PostgreSQL, and IoT/cloud infrastructure. Mytos builds automated cell-production machines for biotech, and you'll develop full-stack software spanning experiment scheduling, image analysis, and remote device operation.

A Senior Full Stack Engineer role as Engineer #2 at a pre-seed AI startup building an AI platform for pharma commercial teams, using Python, FastAPI, TypeScript, Next.js, Azure, MongoDB, Elasticsearch, and Neo4j. Work includes data pipelines, AI-powered search, analytics, and enterprise workflows. The role requires experience on a data/AI-heavy B2B product, regulated industry exposure, and comfort on a tiny engineering team.

You will research, design, and develop deep learning models using transformer architectures, PyTorch, TensorFlow, and Python, plus AWS SageMaker and S3. The team builds foundation models from large-scale transactional and behavioural datasets to power customer intelligence for a major UK bank.

Work with React/Next.js, Python (Django/FastAPI), Redis, Celery/RQ, Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). You'll build an AI data-integration and analysis platform that automates document processing for enterprise financial environments. The role includes end-to-end feature ownership and mentoring junior engineers as the team scales.

Build scalable backend systems, APIs, data pipelines, and DevOps practices using Python or full-stack JavaScript, integrating voice, reasoning, and context management. You will ship end-to-end product features for an AI layer designed to autonomously run small businesses for thousands of customers.

Build and deploy production-grade agentic systems and RAG pipelines with Python, TypeScript, FastAPI, and React. As a founding engineer, lead architectural development of an AI-driven agency model replacing traditional property-market manual workflows with autonomous agents.

Work with JavaScript, Vue.js/React/Angular, HTML/CSS, and Figma to build scalable UI components. Join TransPerfect’s TechOps team, which delivers technology and interfaces for the company’s GlobalLink platform.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

DeepMind★5.0 (2)· London

Lead a team building and shipping generative AI applications using Google’s models, working with TensorFlow, PyTorch, and Hugging Face. The role translates AI research into real-world products, rapidly developing new features and collaborating with researchers and product managers. Team scope is not specified.

Work with Python, C/C++, TensorFlow, PyTorch, and Embedded Development Kits to support customers integrating Innatera's Spiking Neural Processor technology for ultra-efficient AI at the edge. Act as technical advisor, translating customer feedback into product improvements, and conducting workshops and design reviews.

Competition & Markets Authority★3.7 (15)· London

Data scientists join a ~20-person Data Science & Data Engineering team building tools on AWS, using Python, Git/GitHub, generative AI, agentic AI frameworks and web apps. The CMA regulates digital markets and protects consumers by analysing large-scale data and algorithms to ensure fair competition.

Work with Cypress, Playwright, Selenium, Appium, Postman, Jira, and Git to build and maintain automated test suites integrated into a CI/CD pipeline. As part of Reset Health's QA team, you will design manual and automated tests for web and native mobile apps while helping transition to greater automation and AI under an ISO13485 QMS.

NatWest Group★3.7 (1.2k)· London

You'll work with Cisco and Arista platforms, VxLAN, EVPN, Cisco Meraki, and multicast protocols to engineer and automate enterprise network infrastructure. This role supports NatWest Group's digital transformation, building secure, scalable network solutions for its financial services environment.

Work with Python, TensorFlow, PyTorch, scikit-learn, FastAPI/Flask, Docker, Kubernetes, open-source LLMs, vector databases, and AWS/Azure/GCP. Design, build, and deploy ML models, develop Generative AI and RAG pipelines, and fine-tune LLMs for a health-focused AI team.

Macquarie Group★3.8 (315)· London

Work with Python, FastAPI/Django, React, and AI-assisted tools like Claude Code and Copilot. You will lead platform evolution and architecture for the Real Assets and Real Estate technology team, building applications, data products, and AI-enabled capabilities that support the end-to-end asset lifecycle. As a senior technical leader, you guide engineering standards and mentor engineers.

You will work with Cypher, Neo4j, Terraform, REST APIs, Kafka/Confluent, Python, JavaScript, React, Go, OAuth 2.0, AuthZEN, and AI tools like Gemini and Claude. IndyKite builds a data trust and AI enablement platform using a live context graph to secure agentic AI workloads with identity-centric authorization. You will act as a technical evangelist, delivering demos, proofs of concept, and architectural guidance across enterprise sales cycles.

Luxoft★4.5 (669)· London

You'll build an investment-insights solution using Agentic AI, working with Python, FastAPI, AWS, Git/CI/CD, vector databases, RAG patterns, and LLMs like OpenAI/Anthropic. The project generates investment insights from sales and research materials to speed client-meeting preparation. Nice-to-have skills include React/TypeScript and AgentCore, but team size is unstated.

NatWest Group★3.7 (1.2k)· London

You will work with React, Java, Spring Boot, REST APIs, Kafka, IBM MQ, iOS, and Android, applying test-driven development and Agile practices. As a member of a permanent feature team, you will design, develop, and test software for the bank’s platform, collaborating with engineers and architects.