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

Apply Now

Software Design Engineer

Worlingham
10 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Principal Engineer, Artificial Intelligence

Machine Learning Engineer - Search and Recommendation

Machine Learning Engineer III

Machine Learning Engineer III

Senior Machine Learning Engineer

Software Design Engineer

Salary up to £55k DOE

33 Days Holiday (Incl stats)

Company Pension

PPE Supplied

Company Values Reward Scheme

My client is looking to recruit a Software Design Engineer to join our dynamic and ambitious design team. The post holder will contribute to the growth and success of the business through the development of innovative controls-based solutions

The Company

My client provides bespoke turnkey automation solutions offering their customers a complete one stop solution - from design to delivery.

Key Responsibilities

The following list is an indication of roles and responsibilities you will be expected to undertake as the Software Design Engineer. The list is not exhaustive and intended as guidance only, but in general you will: 

Proactively collaborate as part of the wider design department to scope befitting technical solutions for projects. This would include hardware specification such as safety devices, communication architectures/protocols etc, where product selection would have direct implications on the software solution.

Apply commercial awareness when determining solutions suitable to the price point of the project.

Write and test code for large scale projects (Motion, Robotics, Integrating 3rd Party Equipment, PLC, HMI)

Author (internal/external) design philosophy documents to support the intended functions of the automated equipment.

Ensuring all software is written, documented, and controlled in accordance with company procedures and processes.

Ensure that the solutions determined adhere to all relevant Codes of Practice, Company and Industry Standards.

Develop and maintain code libraries and standardised practices to deliver commonality and reduce commissioning timelines.

Review customer project documentation to fully understand project requirements.

Participate in customer meetings of either existing or potential projects.

Participate in internal design reviews on existing or potential projects.

Collaborate with other Mechanical and Electrical teams and community members.

Develop handover documentation for the commissioning team and assist with fault finding.

The Right Person

The successful Software Design Engineer will possess the following skills 

Degree in relevant engineering discipline or equivalent recognised qualifications.

Proven electrical, pneumatic and mechanical experience within the automation industry.

Ability to follow electrical and pneumatic schematic diagrams and drawings.

Comprehensive knowledge of diagnostics, test and repair of electronic/electrical and mechanical systems.

Thorough knowledge of safety procedures and applicable regulations and guidelines.

Programming experience of PLC’s/HMIs. Primarily Rockwell’s suite of automation software, but knowledge of Mitsubishi, Siemens, B&R, and Codesys would be advantageous.

Knowledge of script-based programming would be an advantage.

In depth knowledge of Motion Control and 6 Axis Robot systems.

Experience with robotics, AI and machine learning.

Solid understanding of computer programming and software development.

Ability to troubleshoot equipment and perform complex system tests.

A desire to continually upgrade technical knowledge.

Ability to work under pressure to meet deadlines.

Excellent critical thinking and problem-solving ability.

Strong leadership and problem-solving skills.

Excellent organisational skills and attention to detail.

Excellent verbal and written communication skills.

Good working knowledge of Microsoft Office software suite.

Interested? Here are your three options

  1. “This is the job for me, I meet all the requirements” – Call now and let’s talk through your experience. Ask for Jon Webster on between 8.30am – 5.30pm

  2. “I think I’m right for this position, but I’m not sure about some of the detail” – Click “apply now” so I can read your CV and come back to you.

  3. “I’m interested but need to know more about what this job can offer me” – email (url removed) with your CV and questions and I will reply with more detail.

    Precision are committed to keeping our candidates informed and offer a guaranteed response within 7 days when applying through the application system.

    PPTP

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 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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.