Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and optimise AI models, collaborating with data scientists and engineers.
- Company: Daxtra is a leader in AI-driven innovation, enhancing business outcomes with intelligent solutions.
- Benefits: Enjoy competitive pay, flexible remote work options, and professional development opportunities.
- Why this job: Join a dynamic team working on cutting-edge AI projects that shape the future.
- Qualifications: Bachelor's or Master's in Computer Science or related field; 3+ years in AI/ML development required.
- Other info: Work with advanced technologies like Generative AI and cloud-based solutions.
The predicted salary is between 28800 - 48000 £ per year.
About Us: Daxtra is at the forefront of AI-driven innovation, leveraging cutting-edge technologies to develop intelligent solutions that enhance business outcomes. We are looking for an AI Engineer to work closely with our AI/ML team, contributing to the development of scalable AI models and applications under the guidance of the Senior AI Manager.
Role Overview: As an AI Engineer, you will be responsible for developing, deploying, and optimizing AI models while collaborating with data scientists and software engineers. You will work with technologies such as deep learning, embeddings, vector search, and Generative AI to build robust AI-powered solutions.
Key Responsibilities:
- Develop and optimize AI/ML models with a focus on Generative AI, embeddings, and vector search.
- Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX.
- Collaborate with data scientists to integrate AI models into production systems.
- Maintain and enhance AI pipelines, ensuring efficiency and scalability.
- Conduct research on the latest AI advancements and implement innovative solutions.
- Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation (RAG) systems.
- Optimize model performance and work on deployment strategies using cloud-based AI solutions.
- Support MLOps best practices to streamline AI development workflows.
- Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers.
- Capable of translating theoretical insights into practical, real-world solutions.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- 3+ years of experience in AI/ML development.
- Generative AI experience with Hugging Face, fine-tuning open-source LLMs like Mistral/Llama/Gemma/Phi/Qwen, vLLM, Text Generation Inference, unsloth, LoRA, adapters, DPO, ORPO, hugging face inference endpoints, LlamaIndex.
- Experience with embeddings, vector databases, and deep learning models.
- Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker).
- Knowledge of software engineering principles and best practices for AI integration.
- Strong problem-solving skills and ability to work in a team environment.
Preferred Qualifications:
- Experience working with large-scale AI applications and personalization engines.
- Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate).
- Understanding of AI model interpretability and ethical AI considerations.
- Exposure to real-time AI applications and MLOps workflows.
Why Join Us?
- Work alongside industry experts on cutting-edge AI projects.
- Opportunity to grow and advance in a fast-paced, innovative environment.
- Competitive compensation, benefits, and professional development opportunities.
- Flexible work environment with remote-friendly options.
- Join us in shaping the future of AI!
Apply today at https://www.daxtra.com/join-daxtra/
AI Engineer / Data Scientist employer: Daxtra Technologies
Contact Detail:
Daxtra Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer / Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in Generative AI and deep learning frameworks like TensorFlow and PyTorch. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the AI community by participating in forums, attending webinars, or contributing to open-source projects. This can help you build a network and gain insights into industry trends, which could be beneficial when discussing your experience and ideas during the interview process.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented AI/ML models, particularly those involving embeddings and vector search. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research Daxtra's current AI projects and technologies they use. Tailoring your conversation to align with their work will show your genuine interest in the company and how you can contribute to their goals.
We think you need these skills to ace AI Engineer / Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML development, particularly with Generative AI and deep learning frameworks like TensorFlow or PyTorch. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Daxtra's mission. Mention how your background aligns with the role and express your enthusiasm for contributing to their innovative projects.
Highlight Technical Skills: Clearly list your technical skills related to AI, such as experience with cloud services (AWS, GCP, Azure), containerization (Docker), and any familiarity with vector databases. This will help you stand out as a qualified candidate.
Showcase Continuous Learning: Mention any recent courses, certifications, or research you've undertaken in AI and machine learning. This demonstrates your commitment to staying updated with the latest advancements in the field, which is crucial for the role.
How to prepare for a job interview at Daxtra Technologies
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML frameworks like TensorFlow, PyTorch, or JAX. Bring examples of projects where you've developed or optimised AI models, especially in Generative AI, to demonstrate your hands-on expertise.
✨Understand Daxtra's Focus
Research Daxtra's AI-driven innovations and their applications. Familiarise yourself with their products and how they leverage AI technologies. This will help you tailor your responses and show genuine interest in the company.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with data scientists and software engineers, be ready to discuss your teamwork experiences. Highlight instances where you've successfully collaborated on AI projects and how you handled challenges together.
✨Stay Updated on AI Trends
Demonstrate your commitment to continuous learning by discussing recent advancements in AI and machine learning. Mention any relevant research papers or technologies you've explored, showing that you're proactive about staying current in the field.
