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 Brighton 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 Brighton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that highlight your experience with Python and machine learning. We love seeing real-world applications of your work.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI and data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 make an impact in the AI space.
We think you need these skills to ace Artificial Intelligence Engineer in Brighton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AI/ML. We want to see how you've built real-world features, so don’t just list your skills—show us what you’ve done with them!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this role and how your background fits. We love seeing passion for AI and data-driven solutions, so let that enthusiasm come through.
Showcase Your Projects:If you've worked on any cool projects involving machine learning or data pipelines, make sure to mention them. We’re keen to see examples of your hands-on work, especially anything that demonstrates 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 keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone!
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 likely come up during the interview.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've built AI-driven features. Highlight how you took ideas from concept to production, focusing on the impact your work had on real-world use cases.
✨Understand Agentic Workflows
Familiarise yourself with agentic workflows and automation tools like n8n. Be ready to share any hands-on experience you have, as this is a key area for the role and will demonstrate your proactive approach.
✨Collaborative Mindset
This role requires working closely with product and engineering teams. Be prepared to discuss how you’ve collaborated across teams in the past and how you take ownership of end-to-end delivery in your projects.
