Data Scientist

Franklin Bates
London, United Kingdom
Today
£55,000 – £65,000 pa

Salary

£55,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)
Share
Save job
Create job alert

Role: Data Scientist

Location: London (mostly remote / hybrid options available)

Salary: Up to circa £65,000

The Role

We are looking for a Data Scientist to design and deploy machine learning solutions for our client, a data analytics and software development company, working on a project for a high-profile financial intuition initially, with a strong focus on Large Language Models (LLMs). You will work on creative cutting-edge AI applications, turning data into impactful solutions.

What You Will Do

  • Build and deploy ML and LLM-based solutions
  • Prepare data, engineer features, and ensure quality
  • Fine-tune, evaluate, and optimise LLMs and other models
  • Develop scalable data pipelines across cloud systems, writing clean, production-ready code
  • Select the best algorithms for each problem

What You Will Bring

  • 2–3+ years in Data Science or similar role
  • Strong Python and machine learning expertise
  • At least 2 years’ hands-on experience working with LLMs (e.g. fine-tuning, prompt engineering, deployment)
  • Experience with modelling techniques (e.g. regression, clustering)
  • Degree in Data Science, Statistics or related subject

Related Jobs

View all jobs

Data Scientist

Searchability NS&D Cheltenham, United Kingdom
£45,000 – £75,000 pa Permanent Clearance Required

Data Scientist

Oscar Technology London, United Kingdom
£65,000 – £75,000 pa Hybrid

Data Scientist

Franklin Bates London, United Kingdom
£55,000 – £65,000 pa Hybrid

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd

Data Scientist

ISR Recruitment Exeter, Devon, United Kingdom
£50,000 – £60,000 pa Hybrid

Data Scientist

Sagacity London, United Kingdom
£40,000 – £60,000 pa On-site

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

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.

🍪 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.