Software Engineer

Stratford
3 weeks ago
Create job alert

We at Amtex Solutions are looking for a candidate with following knowledge and experience in:
Technologies Skills:
Project management, Payment Gateway, WEBFOCUS, Python, Java, MySQL, Quantitative Analytics, Agile Methodologies
Important Note:
Kindly only apply if you have all the necessary skills/experience. The closing date for applications: 22/05/2024 on/before 5pm.

  1. Assist in Project planning for Payment/Transaction gateway, application development and business analysis using Business Intelligence Software technologies which are Amtex Core technologies and also Open Source Technologies and testing methodologies to deliver customised services and software.
  2. Support to create detailed project plans, quality control, forecast project risk analysis, success parameters, ROI targets, requirements and assist the CTO/team to create high level estimates for projects. This includes system specification, design, support and maintenance tasks.
  3. Co-ordinate and manage the services offered to commercial client engagements and GPS (Government Procurement Services). Some of the services include: Professional services, Business Intelligence as a service, WebFOCUS Express as a service.
  4. Project Coordination and communication to stakeholders involves liaising between Amtex UK teams, client teams and offshore teams.
    The main duties and responsibilities of the job role
  5. Development of several business critical plans and applications
  6. Define and document solution requirements
  7. Assist in building the architecture of the product .This requires you to have thorough knowledge on making use of various Design patterns ,configuration,security,performance optimization and solution availability .
  8. Provide technical guidance to subordinates and perform Peer Code reviews.
  9. Build, configure and deploy the solution
  10. Effective and clear communicator, ability to work well with the team, high self-motivation and strong delivery focus
  11. Managing project issues and scope to ensure successful delivery
    Permanent Role
    Hours per week: 37.5hrs/week
    Start Date: 9th of June 2025
    Important Note:
    Kindly only apply if you have all the necessary skills/experience. The closing date for applications: 22/05/2024 on/before 5pm

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer - Data Architecture

Embedded Software Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.