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

Nominate & Attend

Senior Full Stack Developer Engineering · London · Hybrid Remote

QuantSpark
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Transport Data Scientist - Various UK Locations

Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Job Title:

Senior Full Stack Engineer

Do you have the following skills, experience and drive to succeed in this role Find out below.Reports to:

Engineering ManagerType:

Full-time permanentSalary:

£61,000 – 78,000Company OverviewQuantSpark transforms organisations through Analytics and AI. We supercharge high-value, complex processes to drive operational efficiency and profitability. As markets face greater disruption, QuantSpark empowers companies in realising their competitive advantage through data, strategic insight, and AI. QuantSpark prides itself on combining creative thinking with analytical rigour.Work EnvironmentWe believe in offering a flexible, hybrid working environment. We are looking for candidates interested in a hybrid role that allows flexibility and those that share our commitment to come onsite to our office for a minimum of two days per week. As a rough guideline, our team collaborates in person, at least half of the time.The RoleAs a Senior Full Stack Engineer, you will develop client-facing functionality, such as web applications and API endpoints. From detailing requirements, designing, and developing a solution to testing and validating that the solution does match user expectations. You will work both on the backend (e.g., Python/API endpoints) and frontend (e.g., Typescript/React) of features while also being an example to others on project teams by demonstrating the appropriate decision making around and implementation of design patterns, paradigms, and application architecture.The RequirementsStrong experience in Python web development (Flask/Django, Gunicorn and ORMs)Strong experience in JavaScript front-end development (React.js, Typescript, Webpack, HTML, CSS)Experience in database and caching technologies (e.g., PostgreSQL/MySQL, MongoDB, Redis)Strong experience in unit testing, TDDExperience in code management, branching strategies, and CI pipelines (Git, Bitbucket)Knowledge of containerisation technologies (Docker, Kubernetes)Excellent communication and interpersonal skills, with the ability to collaborate effectively with internal and external stakeholdersBeneficial SkillsThe following skills are not essential but would be beneficial:Experience with AWS services (S3, Redshift, RDS, Lambda, EC2, ECS, EKS)A keen eye for good user interface design and user experienceExperience with Python packages used for data science (familiarity with Pandas, Numpy, Scikit, Tensorflow, etc)Strong analytical and problem-solving abilities to identify and address technical issues effectivelyAbility to take ownership and manage new and existing workstreamsBenefits£6,000 per annum training & conference budget to help you upskill and elevate your careerPension contribution scheme (up to 12% overall)Top tier Private Healthcare with Vitality on usNumerous perks, discounts, and rewards with major retailers, gym memberships, technology, and travel partnersParticipate in our Share Options schemeAbility to work from abroad for up to one month each year25 days of annual leave (not inclusive of Bank Holidays)Cycle to work schemePlenty of socials, dinners, and fun nights outA fully stocked supply of breakfast, fruit, and refreshments in the officeEqual OpportunitiesQuantSpark is an equal opportunities employer and as such makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, gender, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.

#J-18808-LjbffrRemote working/work at home options are available for this role.

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.