At a Glance
- Tasks: Design and build AI-driven features for a cutting-edge SaaS platform.
- Company: Fast-scaling SaaS business focused on data-led decision making.
- Benefits: Equity, fully remote work, and strong engineering culture.
- Other info: Opportunity for ownership and growth in a dynamic environment.
- Why this job: Tackle exciting AI challenges and shape product intelligence.
- Qualifications: Experience with Python in AI/ML and data pipelines.
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 Data / AI 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
Nice to have:
- Experience working in a full-stack or backend-heavy environment
- Exposure to Java-based systems
- Background in complex SaaS or enterprise platforms
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.
AI Engineer in Manchester employer: OpenSourced Ltd
Join a dynamic and fast-scaling SaaS company that prioritises innovation and hands-on engineering in the AI space. With a strong emphasis on employee growth, you will have the opportunity to work on cutting-edge AI problems while enjoying a supportive remote work culture across the UK. The company offers equity as part of the compensation package, ensuring that your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This gives you a chance to demonstrate your hands-on experience and how you’ve taken ideas from concept to production.
✨Tip Number 3
Prepare for interviews by brushing up on real-world applications of ML and AI. Be ready to discuss your experience with data pipelines and how you've contributed to product-focused projects. We want to see your passion for building impactful features!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are genuinely excited about shaping AI in a growing product.
We think you need these skills to ace AI Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineer role. 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 aligns with our mission at StudySmarter. Be specific about your experience with agentic workflows and automation – we love that stuff!
Showcase Your Projects:If you've worked on interesting projects, especially those involving AI or ML, make sure to mention them. We’re keen to see how you’ve taken ideas from concept to production. Include links to your GitHub or portfolio if you have them!
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 love seeing applications come in through our own channels!
How to prepare for a job interview at OpenSourced Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, especially in the context of machine learning and AI workflows. 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 real-world ML or AI-driven features. Be ready to explain your thought process from concept to production, highlighting any challenges you faced and how you overcame them.
✨Understand Agentic Workflows
Since this role involves experimenting with agentic AI workflows, it’s crucial to demonstrate your interest or hands-on experience in this area. Familiarise yourself with orchestration tools like n8n and be prepared to discuss how they can enhance AI automation.
✨Emphasise Collaboration Skills
This position requires working closely with product and engineering teams. Be ready to share examples of how you’ve successfully collaborated across teams in the past, showcasing your ability to take ownership of end-to-end delivery.
