AI Engineer in Erskine

AI Engineer in Erskine

Erskine Full-Time 50000 - 70000 € / year (est.) No home office possible
Limelight Health

At a Glance

  • Tasks: Design and develop cutting-edge AI technologies for transformative projects.
  • Company: Join DXC Technology, a global leader in IT services with a collaborative culture.
  • Benefits: Enjoy flexible working, continuous learning, and a supportive work environment.
  • Other info: Be part of a dynamic team with excellent career growth opportunities.
  • Why this job: Make a real impact on AI projects that shape the future.
  • Qualifications: Experience with Transformer models and a passion for AI innovation.

The predicted salary is between 50000 - 70000 € per year.

hackajob is collaborating with DXC Technology to connect them with exceptional professionals for this role.

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? Apply now and bring your expertise to a team that values innovation, creativity, and excellence.

AI Engineer in Erskine employer: Limelight Health

DXC Technology is an exceptional employer that offers AI Engineers the chance to work on transformative projects in a collaborative and innovative environment. Located in Erskine, Scotland, employees benefit from flexible working arrangements, continuous learning opportunities, and the chance to contribute to impactful AI solutions while being part of a globally recognised corporate citizen. Join a team that values creativity and excellence, and take your career to the next level with us.

Limelight Health

Contact Detail:

Limelight Health Recruiting Team

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 at DXC Technology on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your work with Transformer models and AI projects. This will help you stand out during interviews and demonstrate your hands-on experience.

Tip Number 3

Practice makes perfect! Brush up on common interview questions related to AI engineering and be ready to discuss your approach to fine-tuning models and implementing RAG strategies.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at DXC Technology.

We think you need these skills to ace AI Engineer in Erskine

Transformer-based architectures
Fine-tuning large language models
Prompt engineering
Retrieval-Augmented Generation (RAG)
LangChain
LlamaIndex
CrewAI

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Transformer models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

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 you can contribute to our innovative team. Keep it concise but impactful – we love a good story!

Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them in your application. Whether it's fine-tuning models or implementing RAG strategies, we want to know what you've done and how it relates to the role.

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 the role. Plus, it’s super easy – just follow the prompts and submit your materials!

How to prepare for a job interview at Limelight Health

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 past projects, as well as any specific challenges you faced and how you overcame them.

Show Off Your Prompt Engineering Skills

Prepare examples of advanced prompt engineering strategies you've implemented. 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 your work.

Demonstrate Your Continuous Learning Mindset

Highlight your commitment to staying updated with industry trends and technologies. Share any recent courses, certifications, or projects that showcase your dedication to continuous learning, especially in reinforcement learning and data engineering.