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

Apply Now

Generative AI Data Scientist

Careerwise
London
1 week ago
Create job alert

This range is provided by Careerwise. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Careerwise

Overview

We\'re seeking a creative and technically skilled Generative AI Data Scientist to join our AI System Design team. You’ll play a pivotal role in designing and deploying scalable GenAI solutions across text, code, and multimodal domains — using tools like LangChain, Databricks, and Azure AI.

You’ll Do
  • Own end-to-end GenAI project lifecycle — from ideation to deployment.
  • Build scalable AI workflows and data pipelines in Databricks and Azure.
  • Apply prompt engineering, LLM fine-tuning, and RAG for real-world use cases.
  • Translate business KPIs into AI-driven architectures with measurable outcomes.
  • Collaborate across teams to define success metrics, automate model evaluation, and build robust monitoring systems.
You Bring
  • 5+ years in applied data science (2+ in Generative AI/LLMs).
  • Expertise in Python, PyTorch, Hugging Face, and modern GenAI frameworks.
  • Hands-on with LangChain, LangGraph, MCP, Google ADK, or similar agentic tools.
  • Strong skills in Databricks, Azure AI/ML, and MLOps best practices.
  • Ability to communicate AI concepts to both technical and business stakeholders.
  • Multi-agent systems, GenAI ethics/governance, open-source contributions
Employment type
  • Contract
Job function
  • Analyst, Information Technology, and Research
Industries
  • IT Services and IT Consulting and Software Development

Note: This description excludes boilerplate pages and unrelated postings.


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal, AI Data Scientist (Remote)

Principal, AI Data Scientist-1 (Remote)

Principal AI Data Scientist

Principal, AI Data Scientist (Remote)

Principal, AI Data Scientist-1 (Remote)

Principal, AI Data Scientist (Remote)

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.