Data Scientist

Butterworths Limited Company
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist (Predictive Modelling) – NHS

Data Scientist

About the Role

We are seeking aGenAI/Data Scientistto join ourAI Innovation Team. This role will focus on experimenting, optimising and applyingGenerative AIoff the shelf models to extract valuable insights from large-scale patent datasets and enhance our search and analytics tools. You will collaborate with data scientists, product teams, and stakeholders across different geographies, driving innovation throughLLMs(Large Language Models) and advanced AI methodologies.

Responsibilities

Perform EDA, design, build, and deploy pipelines utilizingLLMmodels to enhance patent search and analytics applications.

Stay up to date with the latest research and developments in the field of natural language processing (NLP) and machine learning.

Work onGenAItechniqueslikePrompt Engineering,RAG (Retrieval-Augmented Generation)and perform evaluation using frameworks to optimise LLM performance.

Develop and implement machine learning workflows, focusing on the integration ofGenAIwith existing data infrastructure.

Collaborate with the team to exploreGenerative AIuse cases, includingautomated summarisation,natural language understanding, andtext generation.

Conduct experiments to evaluate model performance, identify areas for improvement, and implement enhancements.

Perform continuous evaluations and improvements of models to handle large volumes of patent data.

Work with stakeholders across teams to identify key areas for AI-driven innovation and enhancement indata products.

UsePython,SQL,PySparkand related technologies to develop scalable solutions, focusing on large-scale data processing.

Qualifications:

Demonstrate3+ yearsof experience indata science, with a focus onNLP,Generative AIandLLMs.

Proficiency inPythonand experience working with transformer basedLLMsandNLPframeworks (e.g.Hugging Face, Spacy, Pytorch/Tensorflow etc).

Knowledge ofPrompt Engineering,RAGtechniques and various evaluation methodologies for integratingGenAIwith search/retrieval systems andmeasure the quality.

Experience working withcloud platformslikeAzure,AWS, orGCPfor machine learning workflows.

Understanding ofdata engineering pipelinesanddistributed data processing(e.g.,Databricks, Apache Spark).

Strong analytical skills, with the ability to transform raw data into meaningful insights through AI techniques.

Experience withLangChain / LlamaIndex,vector databases (e.g., FAISS),fine-tuningmodels on domain-specific data would be an advantage

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
 

Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work

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.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

🍪 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.