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

Apply Now

Front End Developer Mid-Senior - SaaS/Fintech

Shift F5 Limited
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer & Power Platform Developer

Software Developer (Machine Learning for ALS Diagnosis)

Data Scientist

Azure Data Engineer

Data Engineer - Informatica & Snowflake Copy

Data Engineer & Power Platform Developer

We're currently recruiting a Front End Developer for a FinTech company revolutionising payments within the clinical trial space. They develop innovative financial solutions that streamline transactions and empower all stakeholders involved in clinical research. They're a passionate team working at the forefront of finance and healthcare technology, and are looking for talented Front End Developer to join them on their mission. The Role: As a Front End Developer, you'll play a vital role in building and maintaining their secure and scalable fintech platform used by clinical trial sites. You'll collaborate with engineers, product managers, and data scientists to design, develop, test, and deploy robust front-end solutions. Responsibilities: Develop, test, and deploy high-quality, maintainable, and efficient code using Next.js, React.js, and relevant front-end frameworks. Design and implement responsive, user-friendly interfaces that integrate seamlessly with back-end APIs. Collaborate with the UX/UI team to translate designs and wireframes into high-quality code. Ensure adherence to industry best practices for front-end development, including performance optimisation and accessibility standards. Write clean, well-documented code that adheres to best practices. Skills & Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Minimum 2 years of experience as a Front End Developer or similar role. Proven experience developing and deploying web applications using Next.js, React.js, and relevant front-end technologies. Strong understanding of front-end development methodologies and best practices. Experience with API integration and working with back-end teams. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. A passion for building secure, scalable, and responsive user interfaces. What's on Offer: Salary dependent on level of experience, but generally happy to match market value; Mid-level £55 - 65k, Senior - £65 - 80k, etc. Fully remote working. Potential for equity. The opportunity to work on cutting-edge technology that positively impacts the clinical trial landscape. A collaborative and supportive work environment with a focus on professional growth. For more information about Shift F5 and the opportunities we have to offer follow us on Twitter F5_Jobs Shift F5 Ltd is acting as an Employment Agency in relation to this vacancy.

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.

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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.