Full Stack Software Developer

Reed
Guildford, United Kingdom
2 weeks ago
£50,000 – £60,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Forward Deployed Applications - Software Engineer

PhysicsX London, United Kingdom

Forward Deployed Applications - Senior Software Engineer

PhysicsX London, United Kingdom

Senior Software Security Developer – Core Platform Services

PhysicsX London, United Kingdom

Software Engineer, Habitat (Online Data)

OpenAI United Kingdom
Permanent

Software Engineer, Software Configuration Management – Hardware Infrastructure

NVIDIA Cambridge, United Kingdom

Software Engineer, Software Configuration Management – Hardware Infrastructure

Salary

£50,000 – £60,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

Benefits

Performance bonus Stock options

Full Stack Software Developer

  • Location: Office-based
  • Function & Department: Product Development, Beanies Stream
  • Employment Type: Full-time permanent
  • Compensation: Fixed basic salary plus performance bonus and stock options

    A new exciting permanent opportunity has become available working with a fast-growing start-up who are at the forefront of intelligent interaction for accounting, blending machine learning, natural language processing, and human-centred design to create autonomous systems that redefine engagement with technology.

    As the Full Stack Software Developer, you will spearhead the delivery and quality of their customer-facing, frontend-driven bot experiences, ensuring they are performant, intuitive, and drive customer adoption.

Day-to-day Responsibilities & Duties of the Role:

  • Product Stream Delivery:

    • Own end-to-end delivery from sprint planning to release and post-release review.
    • Translate product requirements into clear, technical tasks for the team.
    • Ensure deliverables meet timelines, specifications, and quality standards.
    • Manage product backlog and participate in prioritisation discussions.
    • Oversee architecture, scalability, and long-term sustainability.
    • Manage technical debt and system performance.
  • Technical Leadership:

    • Provide hands-on technical direction and guidance.
    • Define and enforce coding standards and quality assurance processes.
    • Stay updated with relevant frontend technologies and frameworks.
    • Collaborate on technical architecture decisions.
    • Identify and address technical risks or blockers.
  • Collaboration & Communication:

    • Ensure consistency across the company's full bot product ecosystem.
    • Engage with customer-facing teams for product demos and feedback.
    • Contribute to cross-team ceremonies and product team culture.
  • People & Team Development:

    • Oversee the quality of team outputs and provide performance feedback.
    • Identify training needs and foster a culture of quality and continuous improvement.

Role Requirements:

  • Technical Requisites:

    • Experience in backend or full-stack development.
    • Familiarity with bot platforms, conversational AI, or NLP tooling.
    • Agile delivery and sprint management skills.
    • Proficiency in modern frontend technologies (HTML, CSS, Tailwind, JavaScript/TypeScript, Vue.js React or equivalent)
    • Experience in backend technologies (Laravel/php, Python fastAPI
    • Experience in modern frontend technologies and backend technologies.
    • Proven experience using AWS including - ECS, IAM, RDS, CloudWatch, and terraform/terragrunt or infrastructure as code
    • Experience with AWS, version control (Git), and CI/CD pipelines.
  • Personal Skills:

    • Strong technical leadership and mentoring skills.
    • Excellent communication and collaboration abilities.
    • Detail-oriented with a commitment to product quality.
    • Proactive problem-solving skills and strong organizational abilities.

To apply, please apply with your full updated CV to be immediately considered.


Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.