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 Doncaster employer: OpenSourced - Search & Selection
Join a dynamic and fast-scaling SaaS company that prioritises innovation and hands-on engineering in the realm of AI. With a strong emphasis on employee growth, you will have the opportunity to work on cutting-edge projects that directly impact enterprise organisations, all while enjoying a fully remote work environment within the UK. The company fosters a collaborative culture where your contributions are valued, and equity is part of the compensation package, making it an excellent choice for those seeking meaningful and rewarding employment.
Contact Details:
OpenSourced - Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Doncaster
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data engineering space on LinkedIn or at meetups. 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 machine learning. This will give potential employers a taste of what you can do and how you approach real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and maybe even do mock interviews with friends or mentors to build confidence.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Engineer in Doncaster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your hands-on experience with Python, ML, and data pipelines to show us you’re the right fit for this role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how your previous work has prepared you for this position. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you’ve worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing real-world applications of your skills, especially those involving ML and AI-driven features.
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 regarding your application status.
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.
