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 Chester employer: OpenSourced - Search & Selection
Join a dynamic and fast-scaling SaaS company that prioritises innovation and collaboration, offering a strong engineering culture where you can take ownership of your work. With fully remote opportunities within the UK, you'll have the chance to tackle exciting AI challenges while benefiting from equity in the company and a commitment to employee growth and development. This is an excellent environment for those looking to make a meaningful impact in the world of AI and data-driven solutions.
Contact Details:
OpenSourced - Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Chester
✨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 skills and understanding the company’s product. We recommend practicing coding challenges and discussing how you’ve tackled AI problems in the past to impress your interviewers.
✨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 with us.
We think you need these skills to ace Artificial Intelligence Engineer in Chester
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 Stack
Make sure you’re well-versed in Python, especially in the context of machine learning and data science. Brush up on your experience with data pipelines and production systems, as these will be key talking points during your interview.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've built real-world ML or AI-driven features. Highlight how you took ideas from concept to production, and be ready to explain the impact of your work on the product and its users.
✨Understand Agentic Workflows
Familiarise yourself with agentic workflows and AI automation. If you have hands-on experience, be prepared to share examples of how you’ve implemented these concepts in previous roles, as this will demonstrate your fit for the position.
✨Collaboration is Key
This role requires working closely with product and engineering teams. Be ready to discuss how you’ve collaborated across teams in the past, and how you take ownership of end-to-end delivery. Show that you can communicate effectively and drive projects forward.
