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

Apply Now

Full Stack Software Developer

Draycir Ltd
Leicester
10 months ago
Applications closed

Related Jobs

View all jobs

Scientific Data Scientist

Data Scientist

Senior Data Engineer

DV Cleared Data Engineer

Machine Learning Engineer

Machine Learning Engineer

About Us


At Draycir, we are dedicated to creating innovative and high-quality software solutions that drive business success. Our work environment fosters creativity and collaboration, making it the perfect place for talented software developers to grow and thrive.

We are looking for a passionate Full Stack Software Developer to join our team. In this role, you will contribute to the development of Credit Hound, our automated accounts receivable application, and PayThem, an advanced payment platform. Both products are designed to streamline and automate critical business processes, and help companies get paid faster.

If you have a love for coding and are eager to make a tangible impact, this role is for you.


Key Responsibilities & Skills


  • Design, develop, and maintain web applications using React, Angular, TypeScript, and .NET Core, with a strong emphasis on both front-end and back-end development.
  • Develop and maintain RESTful APIs, ensuring seamless integration between front-end and back-end services, with expertise in C#.
  • Write and maintain unit, integration, and end-to-end tests to ensure code quality.
  • Work closely with Business Analysts to capture and refine requirements, translating business needs into technical specifications.
  • Take full ownership of your work, from development through to production, while also contributing effectively as part of a collaborative team.


Nice to haves


  • Hands-on experience with deploying, managing, and monitoring applications on Azure.
  • Familiarity with Azure DevOps for version control, build automation, and release management.
  • Experience with or interest in integrating Artificial Intelligence and Machine Learning models, particularly using tools and models from OpenAI.


Qualifications


  • Bachelorʼs degree in Computer Science, Engineering, or related field, or equivalent work experience.
  • Minimum of 3 years of experience in software development, with a focus on full stack development.
  • A passion for coding, continuous learning, and staying updated with the latest industry trends and technologies.


What we offer


  • Enjoy the flexibility of hybrid working arrangements, combining remote work with time in the office. Take advantage of 12 flexi-days available per year after a qualifying period, allowing you to balance work and personal life.
  • Start with 20 days of standard holiday, plus Bank Holidays, to ensure you have time to recharge and unwind.
  • Benefit from a company contribution pension plan to support your future financial security.
  • We provide up to 10 days of sick pay, parental leave, and comprehensive coverage including death in service life cover, critical illness cover, and income protection cover.


How to Apply

If youʼre ready to take on new challenges and contribute to cutting-edge software projects, apply today by emailing your C.V. tojobs@draycir.com. We look forward to discovering how you can make a difference at Draycir.


Strictly no agencies/recruitment services. Applicants must be based in the UK and have the right to work in the UK.


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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.