Landscape Architect

LEAD Careers
West Yorkshire
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Infosys - Senior Practice Lead- Data Science - London, UK

Infosys - Senior Practice Lead- Data Science - London, UK

Senior Data Engineer

Principal Data Analyst

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 to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.