At a Glance
- Tasks: Design and build innovative AI systems that make a real impact.
- Company: Join one of the UK's fastest-growing tech firms in Edinburgh.
- Benefits: Excellent salary, hybrid work, and a supportive team culture.
- Why this job: Be at the forefront of AI innovation and shape the future of technology.
- Qualifications: Experience with Python, ML libraries, and a passion for agentic AI.
- Other info: Diverse and inclusive workplace with great career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Truly unique new role to the market from one of the UK's fastest growing tech firms, which is servicing some of the largest global companies and growing at an exciting rate. We are looking for talented AI Engineers at Senior and Mid-level, with a strong interest or experience in designing, building, and deploying intelligent systems - with a strong focus on agentic AI. Whether you already have hands-on experience building agentic workflows or you're deeply curious and eager to be involved in this space, we'd love to hear from you.
The role will involve working on impactful projects, influencing technical direction and helping shape how AI is applied. Importantly, everything is driven by R&D and AI innovation, focused on tackling the most challenging aspects of AI. You will work closely with product, engineering and data teams to turn cutting-edge machine learning and AI research into scalable, production-ready solutions. This is a superb opportunity with a forward-thinking and expansive client, with candidates being considered from a variety of unique and diverse backgrounds.
Key Responsibilities:- Design and implement AI systems using LLMs and agent-based architectures for production use.
- Build and maintain scalable data pipelines and model training workflows.
- Build autonomous or semi-autonomous agents that can reason, plan, and take actions.
- Evaluate, iterate, and improve AI system performance, safety, and reliability.
- Experiment with frameworks for agentic AI.
- Collaborate with product and engineering teams to turn ideas into production-ready AI features.
- Stay up to date with the fast-moving AI/LLM ecosystem.
- Strong experience with Python and common ML libraries (e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn).
- Experience with LLMs and fine tuning (OpenAI, open-source models).
- Hands-on experience with agent frameworks (e.g. LangGraph, AutoGen, CrewAI, etc.).
- Experience deploying AI systems to production.
- AI Solution design.
- Experience deploying models into production environments.
- Experience of data processing tools and databases (SQL, NoSQL, or big data frameworks).
- Commercial expertise building microservices.
- Strong problem-solving skills and the ability to work independently.
- Curiosity and enthusiasm for agentic AI, even if your experience is still evolving.
- Comfortable working in fast-moving, experimental environments.
The above is not exhaustive. Please forward your CV to discuss this requirement in more detail.
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
AI Engineer in Edinburgh employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving agentic AI. We love seeing real-world applications of your work, so make sure to highlight your best stuff!
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 on the lookout for passionate candidates ready to dive into exciting AI projects.
We think you need these skills to ace AI Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your experience with Python, ML libraries, and any hands-on work with agent frameworks. We want to see how you fit into our AI Engineer role!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about agentic AI and how your background aligns with our projects. This is your chance to show off your enthusiasm and curiosity, so don’t hold back!
Showcase Relevant Projects: If you've worked on any projects related to AI systems or agent-based architectures, make sure to include them. We love seeing real-world applications of your skills, so share what you've built or contributed to!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially agentic AI. Be ready to discuss your experience with Python and ML libraries like PyTorch or TensorFlow. If you've worked with LLMs or agent frameworks, have some examples ready to share!
✨Show Your Problem-Solving Skills
Prepare to tackle some hypothetical scenarios during the interview. Think about how you would approach designing and deploying AI systems in real-world situations. This is your chance to showcase your analytical thinking and creativity!
✨Collaborate Like a Pro
Since the role involves working closely with product and engineering teams, be prepared to discuss your collaboration experiences. Share examples of how you've turned ideas into production-ready solutions and how you handle feedback from different stakeholders.
✨Stay Curious and Enthusiastic
Let your passion for AI shine through! Talk about any recent trends or innovations in the AI space that excite you. Showing genuine curiosity and enthusiasm can set you apart from other candidates and demonstrate your commitment to continuous learning.