National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Software Development (m/f/d)

r2p Group
Lowfield Heath
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist

Head of Engineering

Senior Data Engineer - DV Cleared

Staff Data Scientist

Technical Specialist (CFD and Data Science)

ONEr2p r2p UK Systems Ltd is looking for a Head of Software Development (m/f/d) to lead the development of its smart transport solutions. r2p UK specialises in real-time information (“RTI”) solutions for the bus market including a real-time passenger information product platform (“iConnex”) and on-street and on-bus information displays, fleet vehicle tracking, departure predictions, management and reporting and traffic signal priority solutions. r2p UK also sells to and supports a large number of UK rail customers for the r2p Group’ products and services, notably CCTV, passenger counting, public address and passenger information systems. We are part of the r2p Group headquartered in Flensburg, Germany. The r2p Group operates internationally in 45 countries, with subsidiaries and sale offices in Denmark, UK, Switzerland, Spain, Italy, USA, Canada, Brazil, Australia and Malaysia. This is how You Make a Difference This permanent full-time role is based in our Crawley office and includes leading and managing the UK software development team as well as undertaking some development tasks themselves. You will also lead technology selection, production of technical documentation (requirements specification, functional specifications, work estimates etc), software design and programming. The role will need to adapt to commercially driven timescales, but also follow a strict release policy. You will be a key member of the senior management team and be actively involved in day-to-day management decisions, but will also collaborate and guide the company’s product road map. Responsibilities will involve, but are not limited to: Management responsibilities. Overseeing the combined development of the iConnex software product which comprises a Laravel web-based frontend and backend, and embedded software for real time devices. Inputting into the design and planning of the iConnex software and related products. Inputting into the selection on new technologies, and identification of technology areas that can be brought into the system. Responsibility for company adherence to technology and industry standards. Selection and procurement of productivity tools that support product development (IDEs etc). Management of the software development team including: regular weekly catchups, performance reviews and holiday/absence planning working with developers to scope and plan work packages monitoring actual development versus estimated timescales. project resource allocation, delegating and managing task priorities and maintaining the backlog mentoring staff Overseeing the software development process including organising the regular scrums and ensuring regular scrums occur organising code reviews managing the scrum board and ensuring that tasks accurately follow the development workflow defining/improving the overall development process developing in-house approach to unit and integration testing helping develop a comprehensive test suite Responsibility for test and live system deployment responsibility for deployment process in Jenkins/Ansible performing software releases and maintaining release notes Overseeing system documentation and contributing to the company product roadmap. Co-ordinating project deliverables, timescales and monitor project progress with the Delivery & Support Director. Regular reporting on development progress to the management team. Responsibility for approach to system security as the software level and the adoption of best practice. Liaising with systems administrator to plan system patching. Responsibility for overseeing and defining timescales for system and software package version upgrades. Defining and selection for software development roles both external and internal. Development Responsibilities Full Stack Development of the iConnex Application using Laravel/Vue You are organised and have a methodical and systematic approach to problem solving and documenting output. a team player and able to communicate effectively with colleagues and customers. able to work effectively under pressure. proactive, have a customer centric approach and excellent attention to detail. What you Bring to the Table Computer Science, Electronic Engineering, Maths, Physics or related degree. 10 software development experience. 5 years previous software development team management/leading experience. Technical Skills - Essential PHP 8, Laravel 8, Vue 2/3 Agile/Scrum/Jira Linux git mariadb/mysql Technical Skills – Desirable docker Jenkins Redis MQTT Apache Webserver Elasticsearch Networking nodejs MongoDB Ansible Industry experience with Machine Learning Algorithm Development: Devised and implemented algorithms for real time predictions Mathematical Application: Applied mathematics to implement algorithm concepts. Your Benefits 8% company pension contribution. Company sick pay scheme. 25 days holiday public holidays. Free parking at Crawley office. Mobile phone contribution (or company supplied mobile phone). Interested? Please send us your application (including your CV and a covering letter of 200- 400 words describing why you are well suited to this role, highlighting your relevant experience, what you want to get out of it and what drives you) stating your earliest possible starting date and salary expectations to jobsr2p.com or click on the link below. About us r2p's declared goal is to make public transport better To this end, we develop and sell intelligent software and hardware solutions for the transport sector with the highest quality standards: CCTV, Automatic Passenger Counting, Passenger Information Systems and network audio solutions with real-time data transfer for rail, road vehicles, as well as solutions for fixed infrastructure like platforms and stations. Our customers benefit from our ideas and customised solutions, which minimise the use of hardware and instead maximise the economic and ecological advantage.

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.