Mechanical Design Engineer

London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Software Engineer in Applied Physics

Computer Vision and Artificial Intelligence Engineer

Call for Associate Editor Applications: Computation, AI and Machine Learning

Computer Vision Engineer

Computer Vision Physicist / Engineer

Data Scientist - Measurement Specialist

Mechanical Design Engineer

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries.

The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do.

Labor shortages loom, as the demands on our built environment rise. With the world's workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed.

By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

Responsibilities:

Design and develop mechanical components and systems for humanoid robots, including body structures, joints, limbs, grippers, and end-effectors, using CAD software.
Apply principles of kinematics and dynamics to design robotic mechanisms and linkages that enable smooth and precise motion and manipulation.
Select appropriate materials and manufacturing processes for robot components, considering factors such as strength, weight, stiffness, and cost.
Optimize mechanical designs for performance, efficiency, and reliability, balancing competing requirements such as payload capacity, speed, and power consumption.
Build physical prototypes and mock-ups to validate mechanical designs, assess feasibility, and test functionality, using rapid prototyping techniques and fabrication tools.
Assemble and integrate mechanical components into complete robotic systems, collaborating closely with electrical engineers, software developers, and other team members.
Safety and Compliance: Ensure that mechanical designs comply with safety standards and regulations, conducting risk assessments and implementing safety features as needed.
Conduct mechanical testing and validation to verify performance, durability, and reliability of robotic systems, analyzing test results and iterating on designs as necessary.
Prepare detailed design documentation, including technical drawings, specifications, assembly instructions, and bill of materials (BOM), to support manufacturing and assembly processes.
Collaborate with cross-functional teams, including electronics engineers, software developers, industrial designers, and project managers, to achieve project goals and objectives.Requirements:

Strong background in mechanical engineering principles, including statics, dynamics, mechanics of materials, and machine design. CAD Software: Proficiency in CAD software (e.g., SolidWorks, Autodesk Inventor, CATIA) for 3D modeling, simulation, and design analysis of mechanical components and systems.
Understanding of kinematics and dynamics principles applied to robotic systems, including forward and inverse kinematics, trajectory planning, and motion control.
Knowledge of materials science and engineering, including properties of metals, plastics, composites, and other materials used in robotics applications.
Manufacturing Processes: Familiarity with manufacturing processes such as CNC machining, 3D printing, injection molding, sheet metal fabrication, and assembly techniques for robotic components.
Prototyping Skills: Hands-on experience with prototyping tools and techniques, such as 3D printing, CNC machining, and rapid prototyping, for building and testing mechanical prototypes.
Safety Engineering: Understanding of safety engineering principles and practices, including risk assessment, hazard analysis, and safety standards (e.g., ISO 10218, ISO 13849) for robotic systems.
Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to identify, analyze, and solve complex mechanical engineering challenges in robotic design and development.
Effective communication skills, both verbal and written, with the ability to communicate technical concepts and ideas clearly and collaborate with cross-functional teams.
Attention to Detail: High attention to detail and precision in mechanical design, analysis, and documentation to ensure the reliability and performance of robotic systems.Reasons why you should apply:

High competitive salary.
28 calendar days of vacation per year.
Flexible working hours.
Opportunity to work on the latest technologies in AI/ML, Robotics and others.
Startup model, offering a dynamic and innovative work environment.How to Apply:

For more information on the role, or an informal discussion regarding opportunities we have available, please contact Zuzanna Szelest at (url removed)

Why work with Proactive Global?

Proactive Global is an industry leading, specialist engineering recruitment agency focused on the automation, manufacturing and robotics sectors.

Proactive Global is committed to equality in the workplace and is an equal opportunity employer.
Proactive Global is acting as an Employment Business in relation to this vacancy

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 Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.