GenAI Data Scientist

Lawrence Harvey
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Engineer

Machine Learning Engineer

Get AI-powered advice on this job and more exclusive features.

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

Base pay range

GenAI Data Scientist – Central London

A Global Health Care Leader based in Central London is currently searching for a Data Scientist to help lead initiatives within a newly established Data Science and Artificial Intelligence capability.

The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care.

Location: Hybrid in London (2/3 days per week)

Interview Process: 4 Stages

To be considered:

  • Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP.
  • Minimum One year of experience designing and implementing LLM Solutions.
  • Expertise in building production pipelines, using Python.
  • Excellent communication skills, both written and verbal.
  • Prior experience working in healthcare.

This is one not to be missed, if interested, please apply via the link below.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesHospitals and Health Care

Referrals increase your chances of interviewing at Lawrence Harvey by 2x

Get notified about new Data Scientist jobs inLondon Area, United Kingdom.

London, England, United Kingdom 2 weeks ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 7 hours ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

Data Scientist - Scientific AI, Life Sciences

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 4 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 5 hours ago

Senior Machine Learning Engineer, Pricing

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.