Senior Full Stack Engineer

UniHomes
Sheffield
2 years ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Lead Data Engineer

Data Analyst – Demand Planning & Supply Chain

Senior Machine Learning Engineer - Research

Senior Machine Learning Engineer

About us:

UniHomes is aleading student property search and comparison portal and shared utilitiesprovider. We offer a cutting-edge utility management service, taking the hassleout of shared bills for students. We currently operate in c50 universitylocations nationwide helping thousands of students find their idealproperties. 

A progressive SMEwho is passionate about developing our technology and products to amplify thestudent rental market connecting students with their home from home. Aswecontinue to evolve and innovate, wehave hugeambitions for the future making this is a very exciting time to join our team.

Therole:

We’reseeking an experienced senior full stack engineer who wants to make an impactand help revolutionise the student housing and shared utility experience.Reporting directly to our Head of Engineering, you’ll be a key collaborator inarchitectural decisions and will have the opportunity to take ownership onprojects.

Weleverage AWS and GCP so hands-on experience building complex systems usingcloud services would be an advantage, as would DevOps and CI/CD experience.

Ourcore tech stack currently consists of PHP, Laravel, Vue.js, TypeScript andNuxt. Our talented team love working within the Laravel/Vue ecosystem but we’realso open to exploring and seek to use the best tool for the job, striking abalance between developer experience, complexity, and performance.

Youwill have great communication skills, be hands-on and used to working in a highperforming Agile Scrum team that will advocate best practices, and lead byexample.  We're serious about our work, but we don't take ourselves tooseriously, so bring your sense of humour along for the ride too.

As aleading member of the web engineering team, you'll need to be naturallyinquisitive, product focused and enjoy solving real user problems. Be hands onin writing clean, testable code, and also be willing to spend time coaching andmentoring junior team members. Guide best practices collaboratively and havethe ambition to take ownership of complex tasks and projects, whether workingsolo or leading the team.

So, getready to face challenges head-on, be transparent about the hurdles youencounter, and find joy in helping our users and colleagues navigate their wayto success.

Keyresponsibilities:

  • Develop and maintain web applications using PHP,JavaScript, and other web technologies.
  • Collaborate with our engineering team to design andbuild high-quality, responsive web applications.
  • Integrate web applications with third-party APIsand services.
  • Write clean, testable, and well-documented codethat is easy to understand and maintain.
  • Troubleshoot and debug web applications whenneeded.
  • Mentor less experienced engineers to help themachieve their career goals.
  • Stay up to date with emerging trends andtechnologies in web development, because no one wants to be left behind. 

Skillsand experience:

  • At least 6 years of experience building awesomesoftware using PHP and JavaScript.
  • You’re a wizard with our backend tech PHP 8+ andLaravel 10.
  • You love to build beautiful and clean UI using Vue3, TypeScript and Tailwind CSS.
  • A master at working with APIs and integratingthird-party services.
  • You’re an experienced leader and enjoy mentoringsoftware engineers.
  • Demonstrable experience with Test DrivenDevelopment.
  • Excellent problem-solving skills and the ability towork independently.
  • Excellent communication and teamwork skills.
  • Experience working in Agile Scrum and theassociated ceremonies.
  • A passion for doing things the right way.

PreferredExperience:

  • Experience building analytics products using bigdata.
  • Familiarity with AWS, GCP or other cloud hostingservices.
  • Familiarity with DevOps and CI/CD setups. 

What doyou get when you work here?

Withpeople and culture at the heart of our organisation, we are continuallyenhancing our employee offer and culture.

Workingin our stunning office at New Era Square in the centre of Sheffield, you willget complimentary breakfast, hot & cold drinks, snacks, pool table,holidays, length of service days, voluntary day, healthcare scheme, EmployeeAssistant Programme, sick pay, enhanced maternity & paternity pay, careerprogression, a commitment to personal and professional development, employee ofthe month award, refer a friend scheme, staff discounts, mental health andfinancial support, and company social events.

Salary: £50,000 - £60,000

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.