Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Data Scientist - NLP

London
6 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist - NLP

A brilliant opportunity for a Data & AI specialist with strong NLP knowledge to work in an established AI Research team for a highly prestigious organisation in London, UK. Offering fantastic career progression and the chance to work on cutting-edge projects to help accelerate Machine Learning and Natural Language Processing innovation for the UK

Location: London – Hybrid working available - 1 day a week minimum in office

Salary: £80,000 - £110,000 + a generous benefits package

Requirements for Principal Data Scientist - NLP:

  • Solid commercial working experience in an AI/ML/NLP role

  • Experience mentoring or leading junior team members

  • Strong knowledge and a focus on Natural Language Processing techniques (Large Language Models (LLM) or modern speech to text systems

  • Strong academic history including a 2.1 or 1st class degree

  • Ideally a Ph.D. in a technical or scientific discipline – Mathematics, Computer Science, Physics, or Engineering etc (Beneficial)

  • Very strong Python experience

  • Experience with machine learning frameworks, such as PyTorch or TensorFlow

  • Strong analytical skills

  • Ability to work with autonomy and as part of a team

  • Great communication skills with fluent spoken and written English

    Responsibilities for Principal Data Scientist - NLP:

    Working on a range of exciting UK innovation projects responsibilities will include:

  • Take the lead on projects focused on fine-tuning and aligning large language models.

  • Oversee the design and implementation of scalable generative language and multimodal models and algorithms.

  • Support and mentor a team of Data Scientists / AI Engineers, promoting a culture of high performance and ongoing development.

  • Establish clear goals and maintain a collaborative, positive work environment while working closely with engineering and management teams.

  • Enhance the AI Research Team’s output by publishing innovative research in leading journals and conferences.

    What this offers

  • Working for a prestigious organisation helping further NLP/AI research

  • Highly interesting work developing NLP technology

  • A brilliant relaxed working culture offering fantastic work-life balance

    Applications

    Please send an up-to-date CV via the relevant link.

    We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full contact details are readily available on our website).

    Keywords: Lead AI Research Scientist / Head of NLP and AI Innovation / Principal Machine Learning Scientist / Chief AI Scientist / Director of AI Research and Innovation / Principal Data Science Lead / Head of Advanced NLP Research / Senior AI Research Lead / Principal Applied AI Scientist / Director of Machine Learning Research / Senior Machine Learning Architect / Principal AI Innovation Scientist / Artificial Intelligence Expert / Machine Learning Engineer / Deep Learning Specialist / Data Science Lead / NLP Engineer / Generative AI Specialist / Language Model Architect / AI Innovation Leader / Research Scientist AI / Applied Machine Learning Expert / AI Technology Strategist / AI Systems Architect / Predictive Analytics Lead / Computer Vision Specialist / AI Development Manager / Large Language Models Expert / AI Project Lead / Data Innovation Manager / AI R&D Specialist

    ********************************************************************************

    RedTech Recruitment Ltd focus on finding roles for engineers and scientists. Even if the above role isn’t of interest, please visit our website to see our other opportunities.

    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.