Landscape Architect

LEAD Careers
West Yorkshire
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Full Stack Data Engineer

Python Data Engineer

Data Analyst

Data Analyst

SQL Data Engineer

Role: Senior Landscape Architect

Location: West Yorkshire

Salary: £35K - £45K


The Studio

This Leeds-based studio is where creativity meets sustainability! They are a multi-disciplinary company offering a wide range of development, engineering, and environmental services across sectors like energy, waste management, and commercial and residential projects. From planning and environmental assessments to landscape architecture and project management, they handle it all! With a passionate team of experts from various fields, they tackle complex projects with fresh ideas while keeping the environment in mind.


The Opportunity

As a Senior Landscape Architect, the new hire will dive into exciting projects such as energy infrastructure, commercial developments, and urban regeneration. Their mission? To design and assess landscapes, create master plans, and conduct environmental impact assessments (EIA). Collaboration is at the heart of what they do, so the new team member will work closely with planners and environmental professionals to bring innovative and sustainable designs to life. They can expect a variety of tasks and the chance to make a real difference in shaping urban and rural environments!


Requirements

To join the team, candidates will need a bachelor’s or master’s degree in landscape architecture and 5-7 years of experience, especially in commercial and public sector projects. Strong leadership skills and proficiency in design software like AutoCAD, SketchUp, Adobe Creative Suite, and GIS are a must. A solid grasp of landscape design principles, horticulture, and sustainable practices is essential, along with project management experience in budgeting, scheduling, and client interactions. Excellent communication skills are key for collaborating with clients and stakeholders, and a Licensed Landscape Architect (PLA) is preferred. Those with strong creative vision, problem-solving abilities, and a passion for sustainability will stand out!


Team Dynamics

In this organisation, positive team dynamics foster trust and open communication. This creates an environment where everyone can share ideas and build on each other's strengths, boosting creativity and problem-solving. When team dynamics are strong, they can reach their goals and maintain a supportive atmosphere.


Core Values

They prioritise building strong relationships within their team and with clients, promoting transparency and trust in everything they do. They celebrate teamwork and inclusivity, welcoming diverse perspectives to spark creative solutions. Sustainability is at their core, driving them to make a positive impact on the environment and local communities. These values inspire everyone to give their best!


Benefits Offered

The company provides a fantastic range of benefits to support employee well-being and growth. Employees enjoy a competitive salary, health insurance, and flexible working arrangements. They can take advantage of professional development opportunities, generous leave policies, and retirement plans with employer contributions. The organisation loves to celebrate achievements through recognition programmes and team-building activities that create a positive work atmosphere. With a strong focus on diversity and inclusion, everyone feels valued, and their sustainability initiatives allow employees to make a real difference!


Diversity and Inclusion

The organisation is dedicated to creating a welcoming environment where everyone feels valued and can share their unique talents. By embracing inclusivity at all levels, they build a team that reflects the diverse communities they serve, ensuring all voices are heard.


CANDIDATES MUST HAVE A DEGREE IN LANDSCAPE ARCHITECTURE AND FULL RIGHT TO WORK IN THE UK.


THE NEXT STEP

Those excited to learn more about the Landscape Architect roles can click apply, and the team will be in touch! Alternatively, you can reach out to Adam Johnston at .


Rest assured, all applications are confidential, and details won’t be shared without permission.


Additionally, you can connect with Adam on LinkedIn for the latest updates.

https://www.linkedin.com/in/adam-johnston-05a7bb70/

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.