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

Nominate & Attend

Graduate Engineer

Rowden
Bristol
3 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Engineer

Graduate Data Engineer

Physics ECT

Graduate Finance Data Engineer

Graduate Machine Learning Engineer - Loughborough, England

Graduate/Trainee Recruitment Consultant

Application Deadline:21 March 2025

Department:Engineering

Location:Bristol, UK

Compensation:£30,000 / year

Description

We're building the next UK-headquartered engineering powerhouse. At Rowden, we design and integrate advanced systems that sense, connect, and protect data in challenging environments where quick decisions are vital. Our solutions use intelligent automation to enhance speed and efficiency and are built to be reliable and straightforward for critical operations in remote or high-pressure settings.

Headquartered in Bristol (UK), we combine modern engineering methods with cutting-edge commercial technology to create adaptable, mission-critical systems. We focus on solving the tough challenges that others overlook, ensuring our customers can operate effectively in an ever-changing world.

We're looking for ambitious, problem-solvers ready to make an impact in a fast-growing engineering business. If you're excited by new technologies, fast decision-making, and taking on real responsibility early in your career, this is the opportunity for you.

From day one, you'll work on real projects that drive the business forward, solving complex challenges alongside experienced engineers. Our graduate scheme is designed to accelerate your growth, equipping you with the technical skills, business acumen and leadership experience needed to thrive.

As part of our rotational engineering graduate scheme, you will be exposed to the following technical specialisms (depending on your background), before you focus in on one area:

Technical Specialisms

Software Development:From bespoke mobile applications to geospatial tools, we are building software solutions for a variety of first response and national security customers.

Machine Learning:With a focus on providing intelligence at the edge using computer vision and signals intelligence algorithms and developing autonomous systems, our machine learning team works on challenging real-world problems.

Systems Engineering:Our systems engineers are focused on designing complex systems that end users want to use. They focus on the bigger picture and bridge the gaps between technical disciplines to ensure successful delivery of capability.

Radio Frequency:Many commercial and military systems depend on the radio frequency spectrum to transport data. Our focus is on designing and working with systems that can monitor this spectrum, understanding how it is being used to increase situational awareness for our customers.

Compute Infrastructure & DevOps:Compute infrastructure and DevOps at Rowden is varied – you might work on building or enhancing current capabilities in both AWS and Azure, working with a geospatial service to provide real-time situational awareness across the globe or working on niche, bespoke environments that demand the highest level of security.

Key Areas of Responsibility

As a Graduate Engineer at Rowden, you will be responsible for:

  • Supporting project planning and defining task scope.
  • Conducting technical investigations and supporting design activities.
  • Hands-on implementation and testing.
  • Continuously improving your technical knowledge and skills.
  • Working with the wider engineering team to identify potential solutions to technical problems.
  • Participating in Agile ceremonies and contributing to Sprint goals.
  • Report writing and presentations.

Key Skills and Behaviours

The ideal candidate for this role will be inquisitive and driven. You will have broad knowledge of technical skills gained from your degree but most importantly you will have the following behavioural competencies that we believe are key to succeed in the role:

  • You are excited about joining a fast-paced, mission-focussed engineering company.
  • You're looking forward to exploring and developing your professional career and technical expertise.
  • You are motivated to continuously expand and build upon your skills.
  • You ask lots of questions and spend a considerable amount of your time learning and developing.
  • You enjoy collaborating with others to find solutions but can also work independently and take ownership of your workload.
  • You comfortably apply newly acquired knowledge to develop your practical skills.

Working at Rowden

We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds, so please apply and come as you are!

We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid-working model, with an average of 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part-time working requirements and/or workplace adjustments with all our applicants.

Rowden is a Disability Confident Committed company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible.

Finally, if you feel that you don't meet all the criteria included above but have transferable skills and relevant experience, we'd still love to hear from you!

#J-18808-Ljbffr

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.