Software Engineer

Lemington, Newcastle upon Tyne
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DV Cleared

Senior Machine Learning Engineer

Data Engineer - SC Cleared

Machine Learning Engineer Python AWS

Lead Data Engineer

SAS Data Engineer

Software Engineer

Newcastle upon Tyne, Tyne & Wear

Competitive remuneration package offered. 

Salary negotiable and dependent on experience. 

An opportunity to join an exciting organisation as a Software Engineer. 

The Research and Development function is a multi-disciplined team that sits within the wider Engineering function. The team’s primary responsibility is to track the latest technology and engineering advancements and create novel solutions to previously unsolved complex problems faced by our customers.

The Research and Development team are involved in concept design, innovative product development and the support of delivery of the complete manufacturing and technical data packs associated with our contracts. The team also provides hands-on support for demonstrations, installation, testing and commissioning of new products, both internally and at our customers’ sites, all over the world.

Reporting to the Head of R&D, the primary role is developing software for our current and future products. This will include gathering and documenting user requirements, defining system functionality, developing, and testing code (integral to PEL’s products) in a number of different languages, as well as assisting during the commissioning / testing of existing and future products.

Main Duties & Responsibilities:

Writing efficient, well-designed, testable, and maintainable code.
Integrating software components into a fully functional software system.
Troubleshooting, debugging, and upgrading existing systems.
Maintaining a knowledge of current software development trends to assist in the development of current and future products and internal product design processes.
Developing flowcharts / state diagrams and other documentation to clarify / identify requirements and solutions.
Verification and validation of fellow developers designs. 
Hosting and participating in design reviews providing technical input throughput the development process.
Coaching team members to improve capabilities and develop their software knowledge/expertise. 
Generating operating and troubleshooting instructions suitable for integration into customer manuals.
Contribute to the selection and specification of the electronics hardware that software will be installed onto and interface to.
Communicating professionally with fellow staff, directors, and clients. 
Maintain strict deadlines and prioritise workflow accordingly. 
Other related duties as assigned. 

Qualifications, Skills and Experience: 

A degree in Software Engineering, Computer Science, Physics or Maths with a grade of at least a 2:1 or an equivalent qualification and experience. 
Proven experience in relevant industry. 
Experience with Linux and developing real-time software in C/C++, Java or Python is essential.
Experience of robotics, machine control systems and automation is essential.
A basic understanding of electronics and the ability to read electrical schematics is essential.
Experience with ROS, machine learning and OpenCV is advantageous. 
Knowledge of CODESYS or similar PLC software is beneficial.
Experience of testing or reviewing software written by others is desirable.
Experience working in a multi-disciplined engineering team.
Able to think laterally when problem solving.
Ability to investigate and interpret data, issues, and situations, to make sound decisions in high-stress situations.
Appetite for learning new technologies and applications.
Ability to communicate complex procedures to colleagues.
Self-motivating, proactive and results driven approach. 
Ability to work to deadlines whilst maintaining high quality. 
Excellent knowledge of MS office applications including Excel and Word. 

Competitive remuneration package offered. 

Salary negotiable and dependent on experience.

If you feel that you have the necessary skills and experience, we would like to hear from you

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.