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

Apply Now

Data Applications Developer

Bradford
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Engineer

Data Engineer

AWS Data Engineer VP - Top Investment Bank

Data Engineer

Data Scientist

We are growing our IT team at pace and due to growth we are looking to hire a data applications developer.

Working in the Technology and Product development team you will joining a team of 4 currently, help build new and exciting cloud-based data and technology driven back-office products.

Client Details

We are a world leader in converged broadband, video and mobile communications and an active investor in cutting-edge infrastructure, content and technology ventures. With our investments in fibre-based and 5G networks we play a vital role in society, currently providing over 85 million fixed and mobile connections and rolling out the next generation of products and services, while readying our networks for 10 Gbps and beyond.

It is an exciting time to join us on our journey as we continue to grow our services; offering a wide range of opportunities and who embrace a culture of change and collaboration.

Description

The successful Data Applications Developer will be responsible for but not limited to:

  • Ability to be given business requirements and collaborate with the team to build solutions
  • Participate in product technical architecture design
  • Collaborate with the broader Technology and Product team to ensure the delivery and maintenance of exceptional service standards expected from our products and services
  • Maintain a close relationship with the group security team to ensure all our Products and Services are compliant

    Profile

    The successful Data Applications Developer will be able to demonstrate knowledge in most / all the following areas:

  • Demonstrable exposure with Python
  • Data engineering in the cloud, GCP
  • Background in building data applications in GCP
  • Comfortable working with solutions and products written in Python / SQL / Docker
  • Comfortable with Version Control Solutions such as GitHub and understand the basics of Branching, Merging and Pull Requests

    Desirable skills:

    Terraform / Bash
    Agile tools such as jira, confluenceJob Offer

    The successful Data Applications Developer will part of the Technology & Product team based in Bradford, we offer a hybrid working approach ( 2 days in the office. We actively encourage entrepreneurial thinking and you can quickly grow your career in our business. In addition to a great salary and a very competitive bonus we also offer:

    25 days holiday, with option to buy more.
    Private Medical insurance
    Dental insurance
    Critical Illness
    Personal accident insurance
    Pension Plan - Matched up to 10% And much more.

    Get in touch today for more information

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.