At a Glance
- Tasks: Design and deploy AI-driven solutions to transform healthcare.
- Company: Join The Craneware Group, a leader in healthcare innovation.
- Benefits: Flexible work environment, competitive salary, and professional growth opportunities.
- Other info: Collaborative culture with a focus on continuous learning and innovation.
- Why this job: Make a real impact in healthcare with cutting-edge AI technology.
- Qualifications: Experience in software engineering and machine learning, preferably with Python or C#.
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) in Edinburgh 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 dynamic team dedicated to redefining the future of healthcare through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (AI) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at The Craneware Group. A friendly chat can sometimes open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI or software engineering, make sure to highlight them. It’s a great way to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss how you've tackled real-world problems with AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at The Craneware Group.
We think you need these skills to ace Software Engineer (AI) in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer (AI) role. Highlight your programming skills, especially in Python and C#, and any relevant experience with AI/ML projects.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to transforming healthcare. Share specific examples of your past work that demonstrate your innovative thinking and problem-solving skills.
Showcase Your Projects:If you've worked on any AI-driven projects or have experience with cloud technologies like Azure, make sure to include those in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right team members quickly!
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 how you've applied these in past projects, especially in healthcare contexts. The Craneware Group is looking for someone who can translate complex problems into AI solutions, so be prepared to showcase your experience with relevant technologies.
✨Showcase Your Coding Skills
Since strong programming skills in Python and C# are essential, practice coding challenges beforehand. You might be asked to solve a problem on the spot, so being comfortable with algorithms and data structures will help you shine. Don’t forget to mention any experience you have with APIs and cloud environments, particularly Azure!
✨Collaboration is Key
The role involves working closely with cross-functional teams, so be ready to discuss your experience in collaborative settings. Share examples of how you've worked with product, engineering, and data teams to deliver successful projects. Highlight your communication skills and how you explain technical concepts to non-technical audiences.
✨Stay Current with Trends
The AI field is always evolving, so show that you're keeping up with the latest advancements. Mention any recent trends or tools you've explored, especially those related to healthcare applications. This demonstrates your passion for continuous learning and innovation, which aligns perfectly with The Craneware Group's culture.
