Hydraulics Rig Design - Mechanical

Contechs
Milton Keynes
1 month ago
Applications closed

Related Jobs

View all jobs

Wastewater Network Modeller - all grades

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.