Architect on International Projects, London Based Studio

Architecture Social
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Data Engineering Lead & EDM Architect (Hybrid, London)

Principal Data Engineer

Senior Data Engineer & ETL Architect (Hybrid)

Senior Azure Data Engineer

Senior Data Scientist SME & AI Architect

Are you an Architect hungry for a new challenge and a chance to make a genuine difference? Picture yourself designing innovative small to mid-size projects at an established, globe-trotting design firm that’s been shaking up the industry since 1950.


Why You’ll Love Working Here

Let’s be honest, work isn’t just about the paycheck; it's about being a part of something bigger. You'll be joining a team of world-traveling creatives with offices on three continents. These guys live for imaginative design, and they want you to add your spice to the mix. When you walk through those doors, you'll feel a sense of belonging, not just because of the team's warm, collaborative spirit, but also because they value personal growth and exploration.


The Role Itself

Now, what will you be doing? You'll report to the Project Architect or other senior leaders, creating, modifying, and reviewing drawings that bring design visions to life. You'll also start to get the hang of managing different phases of a project, from the spark of an idea to the final drawing. And don't worry; you won't be pigeonholed into just one type of work. You'll juggle multiple projects, dabbling in everything from developing design concepts to preparing snazzy 3D presentations. Got a knack for problem-solving? Perfect, because you'll also crack some complex design challenges along the way.


What You Should Bring

Here's the deal: you need a bachelor's degree in Architecture, a professional license, and 1 to 4 years of experience in design-related projects. Being a pro in AutoCAD, 3D modeling, and Revit is a must. If you can sketch like a master and manage your time like a pro, you're already halfway there. Communication is key, so you'll need to be as good with words as you are with a drawing board.


Why You Should Hit That 'Apply' Button

Imagine a place where you’re encouraged to blend creativity and sustainability, a place that celebrates not just your work but your passion for it. They encourage team members to bring fresh perspectives and to be open to learning. The company's commitment to sustainable solutions isn’t just lip service; they actively educate clients to adopt them.


So, are you ready to join a team that’s all about designing the future while valuing its past? Then don't waste another minute. Let’s get this conversation started. Apply now, and you could be a key player in shaping tomorrow's architectural marvels.

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.

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.