Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to develop and deploy innovative AI/ML models.
- Company: Daxtra is a leader in AI-driven solutions, enhancing business outcomes with cutting-edge technology.
- Benefits: Enjoy competitive pay, flexible remote work options, and professional growth opportunities.
- Why this job: Join a passionate team pushing the boundaries of AI and make a real-world impact.
- Qualifications: Master's or PhD in relevant fields with 7+ years of AI/ML experience required.
- Other info: Ideal for those eager to mentor and innovate in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ 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 a Senior AI Manager / Lead Data Scientist to drive our AI/ML initiatives, manage a small but high-impact team, and push the boundaries of Generative AI, machine learning, vector search, and embeddings.
Role Overview:
As a Senior AI Manager / Lead Data Scientist, you will lead the development and deployment of AI and ML models, mentor a team of data scientists and engineers, and collaborate cross-functionally to integrate AI solutions into our products. You will leverage expertise in deep learning, NLP, embeddings, and Generative AI to create scalable, real-world applications.
Key Responsibilities:
- Lead and manage a team of data scientists and ML engineers, fostering innovation and collaboration.
- Develop, train, and deploy AI/ML models with a focus on Generative AI, embeddings, vector search, and deep learning.
- Research and implement state-of-the-art techniques in NLP, LLMs, and representation learning.
- Optimize and scale AI models for real-world applications in a production environment.
- Collaborate with product and engineering teams to integrate AI capabilities into enterprise solutions.
- Stay updated on advancements in AI/ML, evaluating emerging tools, frameworks, and methodologies.
- Establish best practices for AI model governance, ethics, and responsible AI deployment.
- Mentor junior team members and contribute to an AI-driven culture.
- 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:
- Master\’s or PhD in Computer Science, Machine Learning, AI, Data Science, or a related field.
- 7+ years of experience in AI/ML development, with at least 2 years in a leadership or managerial role.
- Strong experience with Generative AI, embeddings, vector databases, and representation learning.
- 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 retrieval-augmented generation (RAG), semantic search, and LLM fine-tuning.
- Knowledge of cloud-based AI solutions (AWS, GCP, Azure) and MLOps best practices.
- Excellent problem-solving skills and ability to translate business challenges into AI solutions.
- Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker)
- Strong communication and collaboration skills.
Preferred Qualifications:
- Experience with real-time AI applications, recommendation systems, or personalization engines.
- Knowledge of AI ethics, model interpretability, and bias mitigation.
- Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate).
- Previous experience in a startup or fast-paced environment.
Why Join Us?
- Opportunity to lead cutting-edge AI initiatives in a dynamic environment.
- Work with a team of passionate AI/ML experts driving innovation.
- Competitive compensation, benefits, and opportunities for professional growth.
- Flexible work environment with remote-friendly options.
Join us in shaping the future of AI! Apply today at https://www.daxtra.com/join-daxtra/ #J-18808-Ljbffr
Consultant/Senior Consultant Transport Engineer employer: Daxtra Technologies
Contact Detail:
Daxtra Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant/Senior Consultant Transport Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in areas like Generative AI and embeddings. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI/ML community, particularly those who have experience in leadership roles. Engaging in discussions or attending meetups can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with relevant tools and technologies, such as Hugging Face and cloud-based solutions. Being able to discuss specific projects where you've applied these skills can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've mentored others in your previous roles. Highlighting your leadership experience and ability to foster a collaborative environment will resonate well with the hiring team.
We think you need these skills to ace Consultant/Senior Consultant Transport Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML development, particularly in Generative AI and embeddings. Use specific examples from your past roles that demonstrate your leadership skills and technical expertise.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for AI and how you can contribute to Daxtra's innovative projects. Mention any specific technologies or methodologies you have worked with that align with their needs.
Showcase Your Projects: If applicable, include links to projects or publications that showcase your work in AI/ML. This could be GitHub repositories, research papers, or case studies that demonstrate your ability to translate theoretical insights into practical applications.
Highlight Soft Skills: In addition to technical skills, emphasise your communication and collaboration abilities. Daxtra values teamwork, so provide examples of how you've successfully led teams or collaborated across departments in previous roles.
How to prepare for a job interview at Daxtra Technologies
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Generative AI, embeddings, and vector databases in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Demonstrate Leadership Skills
Since the role involves managing a team, be ready to share examples of how you've led teams in the past. Discuss your mentoring style and how you foster collaboration and innovation within your team.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI/ML, especially in areas like NLP and representation learning. Mention any recent research papers or tools you've explored, as this shows your commitment to staying at the forefront of the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to translate theoretical insights into practical solutions. Think of real-world challenges you've faced and how you applied AI/ML techniques to overcome them, as this will illustrate your problem-solving capabilities.
