AI Scientists

ROLE_1

🚀 We’re hiring: 3 × AI Scientists / Machine Learning Engineers

📍 Remote / hybrid | UK-based preferred | Fixed-term / contract | Start ASAP

Efestos Hub is expanding its AI team to deliver Innovate UK-funded R&D projects focused on circular construction, structural steel reuse, and intelligent condition assessment of reclaimed materials.

We are looking for three AI Scientists / Machine Learning Engineers to work on applied machine learning, computer vision and data-driven decision-support tools for the built environment.

This is an opportunity to work at the intersection of:

• Artificial intelligence

• Structural engineering

• Circular economy

• Construction technology

• Low-carbon material reuse

• Computer vision for real-world industrial datasets

The work will involve developing AI models that analyse images and structured data from reclaimed steel components, identify visible condition features, and support decisions about reuse, processing, re-fabrication and material recovery.

What you will work on

You will help develop machine learning and computer vision models for real-world steel reuse applications, including:

• Image-based condition assessment of reclaimed steel sections

• Detection/classification of defects such as corrosion, holes, attachments, dents, weld scars and surface damage

• CNN-based and deep-learning models for image classification, object detection and segmentation

• Linking visual condition features to engineering and process-related decisions

• Developing explainable AI outputs, including confidence scores and reason codes

• Dataset preparation, labelling strategy, quality assurance and model evaluation

• Working with engineers and industry partners to validate model outputs

• Supporting integration of AI models into Efestos’ existing digital platform

Skills and experience we are looking for

Essential:

• Strong Python programming skills

• Experience with machine learning and deep learning

• Experience with convolutional neural networks

• Experience with PyTorch and/or TensorFlow/Keras

• Experience with computer vision libraries such as OpenCV

• Ability to work with real-world, imperfect image datasets

• Understanding of classification, object detection and/or segmentation workflows

• Experience with model training, validation, testing and performance reporting

• Good coding discipline, documentation and Git-based collaboration

Desirable:

• Experience with YOLO, Mask R-CNN, U-Net, Detectron2, Segment Anything or similar models

• Experience with data annotation tools such as CVAT, Label Studio or Roboflow

• Experience with MLOps, experiment tracking or model deployment

• Familiarity with FastAPI, Docker, cloud/GPU environments or model APIs

• Experience in engineering, construction, materials, manufacturing, inspection or robotics

• Interest in sustainability, circular economy and low-carbon construction

Candidate profile

We are open to candidates from different backgrounds, including:

• AI / ML engineers

• Computer vision researchers

• PhD students or postdoctoral researchers

• Data scientists with strong image-analysis experience

• Software engineers with applied ML experience

• Civil, structural or mechanical engineers with strong AI skills

You do not need prior experience in steel reuse, but you should be excited by the idea of applying AI to a real industrial challenge with environmental impact.

Contract structure

These are fixed-term / contract roles linked to funded R&D delivery. We are looking for people who can start quickly and contribute to a fast-moving technical programme over the coming months.

The roles may be part-time or full-time depending on availability, experience and project fit.

About Efestos Hub

Efestos Hub is developing AI-enabled tools for the reuse of structural steel and circular construction. Our platform helps transform buildings, stockyards and reclaimed components into digital inventories, supporting lower-carbon procurement and reuse at scale.

We are building the intelligence layer for the future steel reuse market.

How to apply

Please send:

• CV incl. GitHub, portfolio, publications or examples of previous work if available

• Availability and preferred working arrangement

Email: info@efestoshub.com

Subject: Efestos-July26-AI Scientist

We are especially interested in people who can combine technical depth with practical delivery.

ROLE_2

🚀 We’re hiring: Full-Stack Developer / AI Platform Engineer

📍 Remote / hybrid | UK-based preferred | Fixed-term / contract | Start ASAP

Efestos Hub is looking for a Full-Stack Developer / AI Platform Engineer to support the development of our AI-enabled digital platform for circular construction and structural steel reuse.

This role will support Innovate UK-funded R&D projects and help turn machine learning models into usable product features, APIs and workflows.

The successful candidate will work closely with our AI scientists, software lead and engineering team to integrate computer vision models into a practical platform used for real-world steel reuse and condition assessment.

What you will work on

You will help develop and maintain the digital infrastructure around our AI models, including:

• Full-stack development for AI-enabled web applications

• API development for machine learning model deployment

• Integration of AI outputs into user-facing workflows

• Upload, processing and management of images and metadata

• Dashboards and reporting tools for condition assessment and reuse decisions

• Cloud-based deployment and testing of AI services

• Database design and structured data management

• User authentication, secure data handling and project workspaces

• Supporting the transition from prototype scripts to robust software modules

Skills and experience we are looking for

Essential:

• Strong experience in full-stack web development

• Good knowledge of JavaScript / TypeScript

• Experience with React, Next.js or similar front-end frameworks

• Experience with Node.js and/or Python back-end development

• Experience building and consuming REST APIs

• Familiarity with databases such as PostgreSQL, MongoDB or Firebase

• Experience with Git, clean coding practices and documentation

• Ability to work with AI/ML engineers and integrate model outputs into applications

Desirable:

• Experience with FastAPI, Flask or Django

• Experience with Docker and cloud deployment

• Experience with AWS, Azure, Google Cloud or similar platforms

• Experience handling images, files and structured metadata

• Experience with authentication, secure storage and role-based access

• Familiarity with MLOps or AI model serving

• Experience with mobile-friendly web apps or app back ends

• Interest in construction technology, sustainability or circular economy

Candidate profile

This role would suit someone who enjoys building useful, practical software from early-stage R&D outputs.

You should be comfortable working in a fast-moving startup environment where requirements evolve, prototypes need to become reliable, and technical decisions must balance speed, quality and usability.

You do not need to be an AI scientist, but you should be comfortable working around AI models, APIs, datasets and technical users.

About Efestos Hub

Efestos Hub is developing AI-enabled tools for structural steel reuse and circular construction. Our platform helps transform buildings, stockyards and reclaimed steel components into digital inventories, supporting lower-carbon procurement and reuse at scale.

We are building digital infrastructure for the next generation of circular construction.