At a Glance
- Tasks: Design and deploy AI-driven solutions to transform healthcare with innovative technology.
- Company: Join The Craneware Group, a leader in healthcare insights and AI innovation.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities in a dynamic environment.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge AI technologies.
- Qualifications: Experience in software engineering, strong programming skills, and a passion for AI.
The predicted salary is between 50000 - 70000 £ per year.
Let’s transform the business of healthcare! At The Craneware Group, we are dedicated to empowering our customers with industry-defining insights that pave the way for a brighter future. If you are an innovative, curious, and forward-thinking engineer with a passion for AI, we invite you to join our growing team of more than 750 dedicated professionals. Together, we are expanding our SaaS platform and embedding AI-driven capabilities that are redefining the healthcare landscape.
The Craneware Group supports a flexible work environment as well as a collaborative, team-focused culture. Employees follow a hybrid working arrangement, spending approximately 40% of their time in our Edinburgh (Tanfield) office.
The Team Craneware is building out its AI capability to design and deliver intelligent, scalable solutions that enhance our products and drive real-world impact across the US healthcare system. As an AI Engineer, you will play a key role in developing and deploying AI-powered features within our platform—working with large-scale healthcare datasets to generate insights, automate workflows, and improve decision-making for our customers. You’ll collaborate closely with product, engineering, and data teams in a highly agile environment, helping shape how AI is embedded across our SaaS solutions.
This includes working with modern cloud technologies and AI/ML tooling to experiment, build, and productionise solutions at scale. You’ll work across a modern and evolving stack, including:
- Languages & Frameworks: Python, C#, .NET, APIs
- AI/ML & Data: Machine Learning frameworks, NLP/LLM tooling, data processing pipelines
- Cloud & Platforms: Azure (Functions, EventHub, Storage, Data Lake)
- Frontend (exposure beneficial): Angular
- Dev Practices: CI/CD, automated testing, microservices architecture
You Will Be:
- Designing, building, and deploying AI-driven solutions within Craneware products
- Working with large, complex healthcare datasets to develop models and data-driven features
- Collaborating with cross-functional teams to translate business problems into AI solutions
- Contributing to experimentation, prototyping, and scaling of AI capabilities (including ML and LLM-based approaches)
- Ensuring high-quality, secure, and scalable code through testing and code reviews
- Keeping up to date with industry advancements in AI/ML and applying them in a practical, product-focused way
You Will Bring Core Experience:
- Commercial experience in software engineering, data engineering, or machine learning roles
- Strong programming skills (ideally Python and/or C#)
- Experience building and integrating APIs and services in cloud environments
AI / Data Capability:
- Experience working with machine learning models and/or data-driven applications
- Exposure to areas such as: Natural Language Processing (NLP), Data pipelines and feature engineering
- Understanding of how to move AI solutions from experimentation into production environments
- Strong understanding of software engineering principles (e.g., SOLID, clean code)
- Experience with automated testing and CI/CD pipelines
- Familiarity with cloud platforms (preferably Azure)
- Experience working with relational and/or non-relational databases
Ways of Working:
- Comfortable working in Agile delivery teams
- Strong problem-solving skills and the ability to work with ambiguity
- Clear communication skills and the ability to explain technical concepts to different audiences
- A collaborative mindset with a passion for innovation and continuous learning
Software Engineer (AI) employer: The Craneware Group
At The Craneware Group, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to make a real impact in the healthcare sector. With a flexible hybrid working model based in our Edinburgh office, we offer numerous opportunities for professional growth and development, alongside a commitment to leveraging cutting-edge AI technologies to transform healthcare solutions. Join us to be part of a passionate team dedicated to redefining the future of healthcare through intelligent, scalable software solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (AI)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at The Craneware Group. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI and healthcare. This gives us a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for your interview by brushing up on common technical questions and be ready to discuss your past projects in detail. We love seeing how you think through problems, so don’t hold back on your thought process!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining Team Craneware.
We think you need these skills to ace Software Engineer (AI)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your programming skills, especially in Python and C#, and any relevant AI/ML projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for AI and healthcare. Share specific examples of how you've tackled challenges in previous roles and how you envision contributing to our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any AI-driven solutions or data-driven applications, make sure to include them in your application. We love seeing real-world examples of your work, so don’t hold back on sharing your achievements and the impact they had.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at The Craneware Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your experience with Python, C#, and any relevant frameworks. The Craneware Group is looking for someone who can dive deep into AI-driven solutions, so be prepared to showcase your understanding of how to apply these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. Practice explaining your thought process clearly and logically. The ability to break down complex problems and communicate your solutions effectively will impress the interviewers, especially since they value collaboration and clear communication.
✨Familiarise Yourself with Their Tech Stack
Take some time to research the technologies mentioned in the job description, like Azure, CI/CD practices, and data pipelines. If you have experience with Angular or other frontend technologies, mention that too! Showing that you understand their tech stack will demonstrate your genuine interest in the role and the company.
✨Emphasise Collaboration and Continuous Learning
The Craneware Group values a collaborative culture, so be ready to discuss how you've worked in teams before. Share examples of how you've contributed to projects and learned from others. Highlighting your passion for innovation and continuous learning will resonate well with their team-focused environment.
