Machine Learning Researcher

SRG
North Hinksey, Oxfordshire, United Kingdom
Last week
£40,000 – £70,000 pa

Salary

£40,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
27 Apr 2026 (Last week)

Machine Learning Researcher

Oxfordshire - Hybrid

SRG are working with an early-stage start-up developing a new technology platform utilising ML to identify Protein structures & interactions at scale and boost drug discovery efforts.

They are looking to recruit Machine Learning research lead to work alongside the founders and develop ML based analyses, mathematical models pipelines.

This is an exciting opportunity to be an integral part of an emerging business, helping to shape the development & implementation of new technologies that have the potential to transform traditional drug discovery efforts.

The Role

Design and develop machine learning and mathematical models for analysing experimental data

Implement proof-of-concept software in Python

Build and manage data pipelines from laboratory instruments through to analysis

Run, evaluate and iterate algorithms against defined technical metrics

Engage with broader scientific and technical challenges as they arise

Summary of Experience

Degree (or higher) in Machine Learning, Computer Science or relevant subject.

Strong Python software engineering skills.

Experience in Machine learning & mathematical models

Previous exposure to biology, biochemistry or drug discovery would be advantageous.

This will be hybrid position, working remotely with days in the office in Oxfordshire. To apply, use the link provided. For further information, contact Nathan Fairhurst at

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Related Jobs

View all jobs

Senior Software Engineer, Chem-Bio

AI Security Institute London, United Kingdom
£50,000 – £80,000 pa On-site Clearance Required

Senior Engineering Lead, Chem-Bio

AI Security Institute London, United Kingdom
£40,000 – £60,000 pa On-site Clearance Required

MARS Senior Research Associate in Machine Learning to Improve Sensing in Quantum Gases

Lancaster University Bailrigg, Northern England, United Kingdom
£39 – £46 pa Hybrid

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.