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- Tasks: Lead innovative generative AI projects and build impactful AI-driven systems.
- Company: Dynamic tech company focused on cutting-edge AI applications.
- Benefits: Competitive salary, hybrid work model, and a focus on diversity and inclusion.
- Why this job: Shape the future of AI while working with talented engineers and data scientists.
- Qualifications: Experience in Python, cloud platforms, and a passion for emerging AI tools.
- Other info: Opportunity for career growth in a collaborative and creative environment.
The predicted salary is between 68000 - 85000 £ per year.
Are you an experienced engineer ready to lead cutting-edge generative AI projects? Curious about shaping AI systems that go beyond the hype and deliver genuine impact? They are now seeking a Senior AI Engineer to help drive the next wave of generative AI application development.
You’ll work closely with fellow engineers, data scientists and product thinkers to build AI-driven systems that are not only smart but reliable, scalable and genuinely useful.
- Architecting and building powerful generative AI systems with real-world impact
- Taking ownership of cloud infrastructure, data integration and production-level optimisation
- You’ll bring a keen interest in emerging AI tools and how they can be deployed in thoughtful, creative ways.
- Python as your core language, building backend services and AI pipelines
- Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks
- Cloud platforms including AWS, GCP or Azure for scalable deployments
- Full-lifecycle projects from prototyping to production
- The opportunity to shape the next generation of AI platforms
Hybrid working with three days per week onsite in Oxfordshire and two days remote. If you’re a thoughtful, experienced engineer ready to make your mark in generative AI, we’d love to hear from you.
AI Scientist employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python, cloud platforms, and generative AI tools.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your experience with generative AI tools, cloud platforms, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about generative AI and how you can contribute to our team. Share specific examples of your work that demonstrate your expertise and creativity in AI applications.
Showcase Your Projects: If you've worked on full-lifecycle AI projects, don’t hold back! Include links or descriptions of your projects that showcase your ability to architect and build powerful AI systems. We love seeing real-world impact!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Humand Talent
✨Know Your Generative AI Tools
Make sure you’re well-versed in the generative AI tools mentioned in the job description, like OpenAI APIs and LLM agents. Prepare to discuss how you've used these tools in past projects and be ready to share specific examples of your work.
✨Showcase Your Python Skills
Since Python is the core language for this role, brush up on your Python knowledge. Be prepared to solve coding challenges or discuss your experience building backend services and AI pipelines using Python during the interview.
✨Understand Cloud Platforms
Familiarise yourself with cloud platforms like AWS, GCP, or Azure. Be ready to talk about how you’ve managed cloud infrastructure and optimised production-level applications in previous roles. This will show that you can handle the responsibilities of the position.
✨Emphasise Collaboration
This role involves working closely with engineers, data scientists, and product thinkers. Highlight your teamwork skills and provide examples of how you’ve successfully collaborated on full-lifecycle projects from prototyping to production. This will demonstrate your ability to fit into their team dynamic.
