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

Apply Now

Robotics Software Engineer

Talent84
Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer - Autonomy

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer, Behavior Planning & Prediction

Senior Machine Learning Engineer, Behavior Planning & Prediction

Senior Machine Learning Engineer, Behavior Planning & Prediction

About the Company

Talent84 is delighted to be representing our client, a highly successful engineering organisation specialising in large-scale, complex electromechanical products with a global customer base, in their search for a Robotics Software Engineer.

About the Role

Due to continued growth and contract wins, my client is seeking to add to their incredibly busy R&D division in the appointment of a Robotics Software Engineer. Reporting to the NPD Manager, the primary purpose of the role is to explore cutting edge technologies and develop Robotics and Software solutions for their current and future product ranges.

Main Responsibilities

Gathering and documenting user requirements, Defining system functionality Developing and writing efficient, well-designed, testable, and maintainable code. Assisting during the commissioning / testing of existing and future products. Development of initial proof of concept studies and prototypes to determine technical feasibility 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.

About you

To be considered for the role, it is essential that you possess demonstrable experience gained in robotics/automation/machine control systems software engineering gained working within a multidisciplinary engineering environment. You will be degree qualified in an appropriate discipline and based in the UK.

Key selection criteria

A degree in Software Engineering, Computer Science, Robotics, Physics or Maths Proven experience in relevant industry. Experience with Linux and developing real-time software in C/C++, Java or Python A basic understanding of electronics and the ability to read electrical schematics Experience with ROS, machine learning and OpenCV 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.

This is a rare opportunity to join my client in this position.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.