National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

FullStack Web Developer

Humanitarian Operations
Edinburgh
5 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Data Engineer

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Senior Data Engineer (Maximo)

Senior Data Scientist

Senior Data Scientist

Full Stack Developer at Humanitarian Operations

 

Location: This is a fully in-person role based in Edinburgh, Scotland. We require you to work from our office in Edinburgh five days a week. 

 

Why Choose HOPE (Humanitarian Operations)?   

At Humanitarian Operations, we do things a little differently. We are done with corporate hierarchies and work in an agile, start-up, fashion. We celebrate everyone’s individuality and ideas as exactly what they are: valuable!    

 

The work culture at HOPE is collaborative and relaxed. We encourage feedback and support each other to solve problems–always striving to be the best we can be. We are driven by a passion for quality and delivering outstanding products.       

 

We don’t believe in micro-management; we believe in supporting everyone to reach their best potential and practise using the most efficient and innovative solutions. HOPE is not just a place of work. It is a place of growth, learning, and development. We are co-creating a new world and having fun whilst doing it. We want to challenge everyone in positive and creative ways every day so we can all evolve together. 

 

Basic Qualifications 

  • Bachelor’s degree or certification in programming (not mandatory); please include your GitHub profile. 
  • A strong desire to write readable, maintainable, modular, and extensible code. 
  • Proficiency inJavaScript,TypeScript,React,Node.js, andNext.js
  • Understanding of how to implementREST APIsandGraphQL
  • Familiarity withExpress,MVCarchitecture, andLaravel
  • Basic knowledge ofPHP,C++,Python(including machine learning libraries), and database technologies such asMySQL,NoSQL,MongoDB, andPostgreSQL
  • Experience withAWSand deployment tools likeJenkins
  • Proficiency inHTML,CSS, and frameworks likeBootstrap
  • Familiarity with design tools such asFigma
  • Excellent communication skills, with the ability to engage with the wider team during show-and-tell sessions, requirement analysis, retrospectives, etc. 
  • Knowledge of common CI/CD tools. 

 

Advanced Qualifications 

  • Experience in designing RESTful APIs. 
  • Solid understanding of object-oriented programming principles. 
  • Familiarity with AWS server-less architectures. 
  • Strong grasp of Agile methodologies, including story point estimation, refinement, sprint planning, retrospectives, and sprint demos. 
  • Awareness of best practices related to accessibility, SEO principles, security, and performance. 
  • Commercial experience using version control tools (e.g., GIT) in a large development team that practices Continuous Integration. 

Lead Full Stack Developer: (£50K - £60K Annually)  

 

Responsibilities: 

  • Advocate for improvements in product quality, security, and performance, setting high standards for the team to follow. 
  • Identify impediments to team efficiency and propose/implement solutions, facilitating a culture of continuous improvement. 
  • Maintain high standards of software quality within the team by establishing best practices and processes for development, testing, and deployment. 
  • Demonstrate initiative and the ability to work autonomously, driving projects from inception to completion. 
  • Lead projects from inception usingNode.js, ensuring that best practices are followed in both front-end and back-end development. 
  • Mentor and guide mid-level and junior developers, fostering a collaborative and supportive work environment. 
  • Collaborate with UX/UI designers to create user-friendly interfaces and enhance the overall user experience. 
  • Oversee the integration of third-party APIs and services, ensuring seamless functionality within the application. 
  • Conduct technical interviews and assist in the hiring process for new team members, contributing to team growth and development. 
  • Manage project timelines and deliverables, ensuring that deadlines are met without compromising quality. 
  • Participate in strategic planning and decision-making processes, helping to shape the technical direction of projects. 

 

Technical Skills and Qualifications: 

  • Proficiency in front-end technologies such asHTML,CSS,JavaScript, and frameworks likeReact
  • Strong experience with back-end technologies, especiallyNode.js, and database management (SQL and NoSQL databases likeMySQL). 
  • Familiarity with RESTful APIs and GraphQL for data communication between the front-end and back-end. 
  • Knowledge of version control systems, particularlyGit, for collaborative development. 
  • Understanding of agile methodologies, including sprint planning, estimation, and retrospectives. 
  • Experience with cloud services (e.g., AWS, Azure) and deployment practices. 
  • Strong problem-solving skills, with the ability to troubleshoot and optimize applications for performance and scalability. 
  • Excellent communication skills, both written and verbal, with the ability to work effectively in a team-oriented environment.  

 

Mid Level Full Stack Developer (£35K - £45K Annually) 

 

Responsibilities 

  • Develop features that are highly secure, well-tested, and performant, utilising best practices in coding and development. 
  • Solve technical problems of varying scope and complexity, providing effective solutions in a timely manner. 
  • Collaborate with cross-functional teams, including designers, product managers, and other developers, on large projects to ensure alignment with project goals. 
  • Take ownership and accountability for your work, ensuring that tasks are completed on time and meet quality standards. 
  • Employ creativity to solve problems and overcome obstacles, leveraging your technical expertise to enhance the product. 
  • Participate in code reviews and contribute to the continuous improvement of the codebase and development processes. 
  • Stay up-to-date with emerging technologies and industry trends, applying this knowledge to your work and suggesting improvements. 
  • Write clear and concise documentation for APIs, technical specifications, and other project-related materials. 
  • Assist in troubleshooting and debugging issues across the full stack, from the front-end to back-end systems. 
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.