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- Tasks: Join our team to develop and integrate innovative computational design workflows.
- Company: Dynamic design studio in London focused on cutting-edge technologies.
- Benefits: Competitive salary, creative environment, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing design quality and efficiency with next-gen tools.
- Qualifications: 2-4 years in computational design; proficiency in Grasshopper/Rhino and scripting languages.
- Other info: Collaborative culture with mentorship and knowledge-sharing opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a mid-level Computational Designer to join our team and contribute to the development and integration of computational design workflows across diverse projects. This role supports the Data-Driven Design team in deploying next-generation design technologies and collaborating with project teams to improve efficiency, innovation, and design quality.
Primary Activities
- Assist in the development and implementation of computational design tools and workflows at various stages of the design process.
- Support senior team members in engaging with project stakeholders to demonstrate computational strategies tailored to project goals.
- Contribute to custom scripting, visual programming, and automation tools that enhance design exploration and analysis.
- Create and maintain parametric models to support tasks from early-stage design through documentation.
- Collaborate with multidisciplinary teams to ensure effective integration of computational design into broader project workflows.
- Assist in embedding performance metrics and basic analytics into project proposals and design iterations.
- Support internal documentation, prototyping, and team training for design technology initiatives.
- Participate in internal R&D or knowledge-sharing efforts within the studio.
- Proficiency with Grasshopper/Rhino and familiarity with Revit and Dynamo.
- Working knowledge of scripting languages such as Python or C# is a plus.
- Demonstrated experience applying computational tools (e.g. parametric design, geometry optimization, or data visualization) to real-world projects.
- Strong ability to visually communicate computational ideas using diagrams and presentations.
- Collaborative mindset and a willingness to grow through mentorship and team feedback.
- Basic experience coordinating with BIM or technical teams on design implementation.
- Exposure to machine learning, AI-assisted design tools, or generative workflows.
- Involvement in open-source projects, publications, or community-based knowledge sharing.
- Confidence in presenting computational design thought leadership internally, externally and with clients where required.
Position Requirements
- Professional degree in Architecture, Landscape Architecture, or related field.
- 2–4+ years of experience in computational design within architecture or landscape architecture.
- Must have the right to live and work in the UK.
All applications should be submitted through our online application form.
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Computational Designer – London employer: Cracknell Landscape Design LLC
Contact Detail:
Cracknell Landscape Design LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Designer – London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your computational design projects, especially those using Grasshopper/Rhino. Make sure it’s visually appealing and easy to navigate – first impressions matter!
✨Tip Number 3
Prepare for interviews by practising common questions related to computational design. Be ready to discuss your experience with parametric models and how you've collaborated with multidisciplinary teams. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Computational Designer – London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Grasshopper/Rhino and any scripting languages you know. We want to see how you've applied these tools in real-world projects, so don’t hold back!
Tailor Your Application: Read the job description carefully and align your application with what we’re looking for. Mention specific projects or experiences that relate to computational design workflows and collaboration with multidisciplinary teams.
Be Visual: Since visual communication is key in this role, consider including diagrams or visuals in your portfolio that showcase your computational design ideas. This will help us see your thought process and creativity!
Apply Through Our Website: Don’t forget to submit your application through our online form! It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Cracknell Landscape Design LLC
✨Know Your Tools
Make sure you’re well-versed in Grasshopper/Rhino, and brush up on Revit and Dynamo. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of computational design workflows.
✨Showcase Your Projects
Prepare a portfolio that highlights your best work in computational design. Include examples of parametric models, custom scripts, or any automation tools you've developed. This will give interviewers a clear picture of your capabilities and creativity.
✨Collaborative Mindset
Emphasise your ability to work within multidisciplinary teams. Share specific examples of how you’ve collaborated with others to integrate computational design into projects. This shows you’re not just a tech whiz but also a team player who values input from different perspectives.
✨Communicate Clearly
Practice explaining complex computational concepts in simple terms. You might be asked to present your ideas or strategies, so being able to visually communicate your thoughts through diagrams or presentations is key. This will demonstrate your thought leadership and ability to engage with stakeholders.
