At a Glance
- Tasks: Design and develop cutting-edge AI technologies for transformative projects.
- Company: Innovative team in Erskine, Scotland with a collaborative culture.
- Benefits: Flexible working arrangements, continuous learning, and supportive work environment.
- Other info: Opportunity for career growth and mentoring junior team members.
- Why this job: Join us to work on impactful AI projects that shape the future.
- Qualifications: Experience with Transformer models and strong background in AI engineering.
The predicted salary is between 50000 - 70000 £ per year.
Location: Erskine, Scotland - Hybrid
Security Clearance level: SC
Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.
The role
We’re looking for a talented and forward-thinking AI Engineer to join our innovative team. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains.
Key Responsibilities
- Design, develop, and optimize Transformer-based architectures (GPT, LLaMA, Mistral, Claude)
- Fine‑tune large language models for domain‑specific applications
- Implement advanced prompt engineering strategies
- Leverage Retrieval‑Augmented Generation (RAG) for enhanced contextual performance
- Build intelligent agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen
- Apply reinforcement learning techniques including Q‑learning, policy gradients, and RLlib
- Collaborate with cross‑functional teams to integrate AI solutions into scalable products
- Ensure best practices in data engineering and contribute to architectural decisions
- Contribute to the mentoring and development of junior team members
- Support senior team members in identifying and addressing data science opportunities
Required Skills & Experience
- Proven experience with Transformer models and LLMs (GPT, LLaMA, Mistral, Claude)
- Strong background in fine‑tuning and prompt engineering
- Hands‑on experience with RAG pipelines
- Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
- Solid understanding of reinforcement learning concepts and tools (Q‑learning, policy gradients, RLlib)
- Azure AI Engineer Associate certification (or willingness to obtain)
- Bachelor's degree in a relevant field or equivalent combination of education and experience
- Demonstrated relevant industry experience, including time spent in a similar role
- Proficiencies in data cleansing, exploratory data analysis, and data visualization
- Continuous learner that stays abreast with industry knowledge and technology
Why Join Us?
- Work on impactful AI projects with real‑world applications
- Be part of a collaborative and forward‑thinking team
- Access to continuous learning and development opportunities
- Flexible working arrangements and a supportive work culture
Ready to shape the future of AI? We invite you to bring your expertise to a team that values innovation, creativity, and excellence.
AI Engineer in Erskine employer: 慨正橡扯
Join our dynamic team in Erskine, Scotland, where as an AI Engineer, you'll have the opportunity to work on groundbreaking AI technologies that make a real difference. We pride ourselves on fostering a collaborative and innovative work culture, offering flexible working arrangements and continuous learning opportunities to support your professional growth. Be part of a forward-thinking environment that values creativity and excellence, making it an exceptional place to advance your career in AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Erskine
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Transformer models and reinforcement learning concepts. We want you to showcase your skills confidently, so practice explaining your projects and how they relate to the role.
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly. Sometimes, roles are filled before they’re even advertised, so being proactive can really pay off.
✨Tip Number 4
Show your passion for AI! During interviews, share your thoughts on the latest trends and technologies. We love candidates who are genuinely excited about the field and eager to learn more.
We think you need these skills to ace AI Engineer in Erskine
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Transformer models and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our innovative team. Let us know what excites you about this opportunity!
Showcase Your Continuous Learning:We love candidates who are always learning! Mention any recent courses or certifications, especially related to AI or reinforcement learning. It shows us you’re committed to staying ahead in the field.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting role. We can’t wait to hear from you!
How to prepare for a job interview at 慨正橡扯
✨Know Your Transformers
Make sure you brush up on your knowledge of Transformer models like GPT, LLaMA, and Mistral. Be ready to discuss how you've fine-tuned these models in the past and any specific projects where you've implemented them.
✨Show Off Your Prompt Engineering Skills
Prepare examples of advanced prompt engineering strategies you've used. Think about how you can explain the impact of these strategies on model performance, especially in domain-specific applications.
✨Get Familiar with RAG and Agent Frameworks
Since the role involves Retrieval-Augmented Generation, be prepared to discuss your hands-on experience with RAG pipelines. Also, have a solid understanding of frameworks like LangChain and AutoGen, and be ready to share how you've used them in previous roles.
✨Demonstrate Your Continuous Learning Mindset
The company values continuous learning, so come prepared to talk about how you stay updated with industry trends and technologies. Mention any relevant certifications you're pursuing, like the Azure AI Engineer Associate, and how they relate to the role.
