At a Glance
- Tasks: Design and build AI-driven features, from concept to production.
- Company: Fast-scaling SaaS business focused on data-led decision making.
- Benefits: Equity options, fully remote work, and strong engineering culture.
- Other info: Opportunity for ownership and collaboration across teams.
- Why this job: Tackle exciting AI challenges and shape product intelligence.
- Qualifications: Strong Python skills and experience with real-world AI applications.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnered with a fast-scaling SaaS business building a sophisticated platform used by enterprise organisations to make smarter, data-led decisions across complex environments. They’re now hiring a Senior / Principal AI & Data Engineer to help shape how intelligence is built into the product, from machine learning models through to emerging agentic workflows. This is not a “pure research” role, it’s hands-on, product-focused, and ideal for someone who enjoys taking ideas from concept to production.
What You’ll Be Doing:
- Designing and building production-grade ML and data-driven features
- Working closely with product and engineering to embed AI into real-world use cases
- Developing and maintaining data pipelines and model workflows
- Experimenting with and implementing agentic / autonomous AI workflows
- Contributing across the stack where needed (APIs, services, integrations)
- Improving performance, scalability, and reliability of AI systems
Tech & Environment:
- Core: Python (machine learning, data science, AI workflows)
- AI/ML: Applied ML, data modelling, experimentation
- Automation / Agents: Agentic workflows, orchestration tools (e.g. n8n or similar)
- Data: Pipelines, transformation, structured data systems
- Bonus Exposure: Java / backend systems, full-stack environments
What They’re Looking For:
- Strong commercial experience with Python in a data/AI/ML context
- Proven track record of building real-world ML or AI-driven features (not just notebooks)
- Experience working with data pipelines and production systems
- Interest or hands-on exposure to agentic workflows / AI automation
- Ability to work across teams and take ownership of end-to-end delivery
Why This Role?
- Work on genuinely interesting AI problems, not just surface-level features
- Opportunity to shape how AI is embedded into a growing product
- Strong engineering culture with real ownership
- Equity included as part of the package
- Fully remote within the UK
If you’re building AI systems that actually get used - and want to push further into modern workflows like agents and automation - this is worth a conversation. Apply directly or drop me a message for more details.
Artificial Intelligence Engineer in Edinburgh employer: OpenSourced - Search & Selection
Join a dynamic and innovative SaaS company that prioritises a strong engineering culture and offers the opportunity to work on cutting-edge AI problems. With a fully remote setup within the UK, you will enjoy a collaborative work environment that fosters personal growth and ownership of projects, alongside competitive equity options. This role is perfect for those looking to make a tangible impact in the AI space while being part of a fast-scaling organisation.
Contact Details:
OpenSourced - Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data engineering space on LinkedIn or at meetups. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. We love seeing real-world applications of your work, so make sure to highlight any production-grade features you've built.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences with AI workflows and data pipelines to impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to shape the future of AI and automation.
We think you need these skills to ace Artificial Intelligence Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of an AI Engineer. Highlight your hands-on experience with Python, data pipelines, and any real-world ML features you've built. We want to see how you can contribute to our product!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for this role. Don’t forget to mention any experience with agentic workflows or automation, as that’s a big plus for us.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to take ideas from concept to production.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at OpenSourced - Search & Selection
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, especially in the context of AI and machine learning. Brush up on your experience with data pipelines and production systems, as these will likely come up during the interview.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've built ML or AI-driven features. Highlight how you took ideas from concept to production, focusing on the impact your work had on real-world use cases.
✨Emphasise Collaboration Skills
This role requires working closely with product and engineering teams. Be ready to share examples of how you’ve successfully collaborated across teams and taken ownership of end-to-end delivery in previous roles.
✨Stay Curious About Emerging Trends
Demonstrate your interest in agentic workflows and AI automation. Research current trends and be prepared to discuss how you see these evolving in the industry and how they could apply to the company’s product.
