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

Apply Now

Software Engineer - Open Data

Durrington
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer (Leadership) - Machine Learning

Software Engineer / Data Engineer

Software Engineer II, Applied Machine Learning

Software Engineer, Machine Learning

Software Engineer - Machine Learning

Senior Software Engineer - Data Engineering Team

Job Title: Software Engineer – Open Data

Location: Durrington (Worthing) Hybrid Flexible

Contract Type: Permanent

Hours: 37 hours a week (Part time 30 hours, considered)

Salary: Up to £60,000

There has never been a better time to join our organisation as we build towards a greener future, tackling climate change, minimising our environmental impact, and reducing our carbon footprint!

With the introduction of Open Data initiatives and Stream, we are creating a new team here within our Digital Department to comply to these new regulations, so you’ll be joining at a great time, to really ‘put your stamp’ on how this team will evolve.

Working in a close-knit team of 3, including a Data Engineer and the Data Lead, you will be ultimately responsible for ensuring the data we need to share, makes it to the platforms and environments it needs to be on.

This is mostly front-end work, but an understanding or some exposure to back end would give you an advantage in this role.

Job Overview

In this role, you will have full responsibility for ensuring connectivity to the Stream suite (Azure) and other approved applications. You will be creating API’s to allow Stream to pull the data effectively. You may also get involved with internal teams for the release of any relevant data relating to this project on our company website.

Day to day you’ll be responsible for:

  • Ensuring Stream has connectivity to access relevant data

  • Ensuring all relevant data is available and secure

  • Building and maintaining bespoke applications and API builds

  • Creating, maintaining, auditing, and improving systems to meet specific needs

  • Testing both hard and software systems to diagnose and resolve system faults

  • Writing operational documentation

    About You

    To be suitable for this role, you will have a good grasp of front-end Software Engineering with some creativity and flare for making this role your own. You will ideally have some solid experience in a Software Engineering, however we will also take applications from graduates with a relevant degree and a keen interest in keeping abreast of the latest technology.

    You will have knowledge of:

  • Javascript, HTML, Python, Java, SQL

  • Building Apps

  • Building APIs in cloud native tooling

  • Writing and testing code

  • Researching, designing, and writing new software programs

    You will also have:

  • Strong process and analytical skills

  • Ability to build solutions to combine from multiple different sources and generate data

  • Software engineering skills, also to include familiarity with several programming languages, cloud native technology (Azure) and knowledge of machine learning data requirements

  • Communication skills to enable you to work with internal stakeholders and understand requirements

  • Ability to work as part of a team and work to deadlines

    Package

    This role will be full time Monday to Friday with a hybrid approach to working between our Durrington office and home, what that looks like if flexible for the right candidate. This is a full-time role, but 30 hours part time will also be considered.

    We are offering a salary of up to £60,000 per annum depending on skills and experience as well as other benefits including:

    • Generous pension up to 11% company contribution

    • 25 days annual leave

    • Life assurance equal to 4x salary

    • Salary sacrifice electric car scheme (after 6 months service)

    • Health Cash Plan

    • Full funded eye tests

    • Two paid volunteering days a year

    • Occupational health service

    • Discounts with over 800 popular retailers

    • Digital GP service

    • Study support may be available for job-related qualifications

    • Competitive maternity leave and flexible return to work options

    • Cycle to work scheme

    Join our Data & Analytics team and see how far your career could progress with a company committed to career progression, training and development opportunities, our customers and the environment

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.

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.

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.