Walsh Employment | Senior Researcher

Walsh Employment
Slough
11 months ago
Applications closed

Related Jobs

View all jobs

Research Officer and Data Scientist - CHILI

Our client combines research and industrial innovation to transform businesses and society. As part of a global R&D network, the business operates a multidisciplinary centre focused on advancing research and innovation with dedicated professionals achieving meaningful, human-centred outcomes. We are now seeking a Senior Researcher to join a global LLM-Augmented Software Transformation group, applying advanced research technologies to transform customer businesses across a diverse range of industries.

Senior Researcher LLM-Augmented Software Transformation

Slough

£50-55K plus bonus and excellent benefits package.

To be successful in this role:

You will be a confident and senior Researcher with proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies. You will hold a Ph.D. or equivalent postgraduate qualification in computer science or a related field, and have a strong research track record, including publications in top-tier conferences and journals. Other requirements for this role include:

Proficiency in Python/PyTorch and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services

A passion for software engineering with the ability to write clean code

Experience in leading research collaboration projects with tangible outcomes

Able to propose research topics by exploring potential future business opportunities

Excellent oral and written communication skills

Candidates with knowledge of LLM Agents and/or Graph ML would be of particular interest

Job role and responsibilities:

As a Senior Researcher, you will revolutionise customer businesses through various software development initiatives, including AI system development and software modernisation.

Conducting research and development in LLM-Augmented software engineering, leading and participating in pioneering projects focused on software transformation and automation.

Providing technical leadership and collaborating with Fujitsu Global R&D teams to develop novel software development technologies in the generative AI era, with research outputs expected to be published in top conferences and contribute to Fujitsus business advancements.

Mentoring interns and junior researchers to foster a culture of learning and innovation.

Benefits:

Medical Insurance (subsidised)

Pension Plan

Life insurance

Income Protection


JBRP1_UKTJ

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.