Principal Data Scientist - NLP

London
9 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: Scale ML for Audiences (Hybrid)

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 Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

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.