National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Design Systems Analyst (Smart Places & Digital Twin Specialist)

Cremorne
3 weeks ago
Applications closed

Related Jobs

View all jobs

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Level 4 Data Analyst Apprentice

Automation Analyst II – Enterprise RPA & Machine Learning Projects

Pricing Analyst

Data Analyst

Foster + Partners

Design Systems Analyst (Applied R+D Smart Places & Digital Twin Specialist)

London, Battersea

Permanent

On site

Foster + Partners is a global studio for architecture, engineering, urban and landscape design, rooted in sustainability.

The Applied Research and Development team at Foster + Partners is looking for a Design Systems Analyst (Applied R+D Smart Places & Digital Twin Specialist) to join their team in London.

This role will be responsible for:

  • Research and develop smart building, smart city and digital twin technologies. Engage with all stages of the innovation lifecycle, capturing requirements, identifying successful technologies and promoting these from prototype to production use

  • Liaise with designers and domain specialists internal and external to the company to ensure effective development, integration, and application of wider company design systems and processes

    Key skills:

  • Degree in Architecture, Engineering (including Building Services), or Computer Science or equivalent experience

  • Experience in one or more areas of collecting, managing and visualizing data related to the built environment, including: sensor technology, asset information management, cloud data management, data processing and visualisation

  • Experience in one or more of the following areas: architecture, information management, building services and smart buildings, smart cities, digital twins, ubiquitous computing (including the Internet of Things), data science, interactive application (including games engine) development, cloud computing

  • Familiarity with systems and processes for managing buildings, cities or other complex assets (BMS / AMS)

    In return we offer a competitive basic salary and generous benefits package which includes 25 days holiday (exc bank holidays), Pension, DIS and discretionary annual bonus

    If you would like to work for a company that can offer you a career then please apply by sending an up to date CV
National AI Awards 2025

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.

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

Jobs

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.