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

Apply Now

Hydraulics Rig Design - Mechanical

Contechs
Milton Keynes
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Remote)

Position Title: Hydraulics Rig Design - Mechanical

Duration: Contract

Location: Hybrid Working: 1 - 2 days on site in Milton Keynes

Key Responsibilities - Design & Development

  • Develop concept designs, mounting strategies and integration of systems and components to meet specific testing requirements.
  • Develop detailed engineering drawings, schematics, and specifications using either CATIA V5 or NX
  • Select and integrate components such as pumps, valves, actuators, and sensors into the testbed.
  • Ensure compatibility between components for optimal performance and efficiency.

Testing & Validation

  • Collaborate with test engineers to define test parameters and procedures.
  • Supervise the assembly, calibration, and commissioning of test rigs.
  • Perform troubleshooting and fine-tuning of test systems.

Analysis & Optimization

  • Analyse test results to validate the performance and reliability of the testbed.
  • Propose and implement design improvements based on testing outcomes.

Compliance & Documentation

  • Ensure designs adhere to industry standards, safety protocols, and regulatory requirements.
  • Prepare comprehensive documentation, including design reports, test procedures, and maintenance manuals.
  • Work closely with multidisciplinary teams, including mechanical, electrical, and controls engineers.
  • Liaise with suppliers and vendors as required.

Nice to Have Criteria:

  • Technical Expertise
  • Proven experience in designing hydraulic systems and test rigs.
  • Strong knowledge of hydraulic principles, fluid mechanics, and system dynamics.
  • Familiarity with simulation and analysis tools like MATLAB, ANSYS, or Simulink.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Attention to detail and ability to manage multiple projects.

Experience

  • 3-5 years of experience in a relevant field, preferably within automotive, although aerospace, or other industrial sectors will be considered
  • Hands-on experience with testbed assembly, instrumentation, and data acquisition systems is a plus.

Preferred Skills

  • Knowledge of PLC programming and automation technologies.
  • Experience in model-based design and control system integration.
  • Certification in hydraulics (e.g., Fluid Power Specialist) is advantageous.

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.