Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Engineer / Data Scientist

Daxtra Technologies Ltd
Musselburgh
2 months ago
Create job alert

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/
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist (UK)

Machine Learning Manager, London

Senior Data Engineer (AI & MLOps, AWS, Python)

Machine Learning Engineer / Data Scientist – LLM Agents

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.