Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Full-Stack Engineer

Scopeworker
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment

Senior Consultant Data Scientist

Senior Machine Learning Engineer – Computer Vision

Senior Data Scientist

Senior Data Scientist - Trading

Senior Data Scientist

Qualifications

Bachelor's or Master's degree in Computer Science or similar (PhDs will be given preference)7+ years of experience in full-stack development; from UI to backend systemsFull proficiency in Angular.JS and / or Angular 2+ (Angular 17)Full proficiency in Node.JS and JavaScript ES6+Experience with NestJS is preferred but not necessaryProficiency in relational databases is necessaryExperience with management tools like Jira and ConfluenceA good working proficiency in verbal and written EnglishAbout this Job Scopeworker's software engineers are developing a next generation, enterprise platform. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile. As a software engineer, you will work on a specific project critical to the Scopeworker platform with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance Scopeworker's software.

Do you have the skills to fill this role Read the complete details below, and make your application today.About Scopeworker Scopeworker is an enterprise SaaS. It digitalizes the Procure-Execute-Pay lifecycle of supplier services for critical infrastructure. The automation enables significant cost, time and quality efficiencies for both buyers and suppliers and enables a live situational awareness of procurement, finance, operations and other stakeholders departments. Scopeworker can be used standalone or as a digital layer over the top of Oracle, SAP or Microsoft Dynamics ERPs. Scopeworker processes billions of dollars of services each year for the Fortune 100.

#J-18808-Ljbffr

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.