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- Tasks: Design and develop cutting-edge AI solutions using Python and modern ML frameworks.
- Company: Join a dynamic organisation in Newcastle City Centre focused on next-gen AI innovation.
- Benefits: Enjoy a competitive salary, flexible work culture, and opportunities for fast learning.
- Why this job: Be part of a high-performance team creating impactful AI tools from the ground up.
- Qualifications: Strong Python skills and experience with ML frameworks; eagerness to learn about AI applications.
- Other info: Work on-site in a collaborative, agile environment with a focus on innovation.
The predicted salary is between 36000 - 60000 £ per year.
Join a dynamic, forward-thinking organisation based in Newcastle City Centre as an AI Engineer, where you’ll help shape and deliver next-generation AI solutions with real-world impact. This is a rare opportunity to be part of a newly formed, high-performance team building enterprise-grade AI from the ground up.
What You’ll Be Doing:
- Designing, developing, and deploying AI/ML solutions using Python and modern ML frameworks.
- Building and fine-tuning Large Language Models (LLMs), working with embedding models and vector databases.
- Creating agentic workflows and tools that simulate decision-making in dynamic environments.
- Collaborating closely with product owners and business stakeholders to translate problems into scalable solutions.
- Implementing AI tools within a modern Azure cloud infrastructure (or similar).
- Supporting ongoing AI experimentation and driving continuous model improvement.
- Keeping up to date with research and innovations in AI, ML, NLP, and generative models.
What We’re Looking For:
- Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow).
- Solid understanding of machine learning fundamentals, including supervised/unsupervised learning.
- Experience with cloud environments – ideally Azure, but AWS or GCP also considered.
- Familiarity with LLMs, prompt engineering, and vector databases (e.g. Pinecone, FAISS).
- Practical experience building production-ready AI applications.
- Ability to work on-site in Newcastle in a collaborative, agile environment.
- A curious mindset, eagerness to learn, and a genuine interest in AI’s practical applications.
What’s on Offer:
- The chance to work in a greenfield AI environment with high visibility and ownership.
- Collaborative, non-corporate culture with strong autonomy and responsibility.
- A workplace committed to innovation, experimentation, and fast learning.
- Competitive salary and benefits package tailored to experience.
If you’re excited by the idea of building real-world AI tools from scratch and want to be at the forefront of applied AI, we’d love to hear from you.
Remote C# Engineer employer: Careers Plus
Contact Detail:
Careers Plus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and ML, especially focusing on Large Language Models and their applications. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with online communities or forums related to AI and Python development. Networking with professionals in these spaces can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your hands-on experience with cloud environments, particularly Azure. Be ready to share specific examples of projects where you've implemented AI solutions in a cloud setting.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked in agile teams. Highlighting your ability to translate complex problems into scalable solutions will resonate well with the hiring team.
We think you need these skills to ace Remote C# Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning frameworks, and any relevant projects you've worked on. Emphasise your familiarity with cloud environments like Azure, AWS, or GCP.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI and how your skills align with the job requirements. Mention specific experiences that demonstrate your ability to design and deploy AI solutions.
Showcase Relevant Projects: If you have practical experience building AI applications, include a portfolio or links to your work. Highlight projects that involved LLMs, prompt engineering, or cloud deployment.
Prepare for Technical Questions: Be ready to discuss your understanding of machine learning fundamentals and your experience with AI tools. Brush up on concepts related to supervised/unsupervised learning and be prepared to explain your approach to problem-solving in AI.
How to prepare for a job interview at Careers Plus
✨Showcase Your Python Proficiency
Make sure to highlight your experience with Python during the interview. Be prepared to discuss specific projects where you've used Python for AI/ML solutions, and demonstrate your understanding of relevant frameworks like PyTorch or TensorFlow.
✨Discuss Your Experience with LLMs
Since the role involves working with Large Language Models, be ready to talk about any hands-on experience you have with them. Share examples of how you've fine-tuned models or worked with embedding models and vector databases.
✨Emphasise Collaboration Skills
This position requires close collaboration with product owners and stakeholders. Prepare to discuss how you've successfully worked in teams, translated complex problems into scalable solutions, and contributed to a collaborative environment.
✨Demonstrate Your Curiosity and Eagerness to Learn
The company values a curious mindset and a genuine interest in AI. Be ready to share what you've done to stay updated on AI trends and innovations, and express your enthusiasm for continuous learning and experimentation in the field.
