Urgent Search: Senior Principal Data Scientist, NLP

NLP PEOPLE
uk
1 month ago
Applications closed

Related Jobs

View all jobs

▷ (Urgent Search) Principal Data Scientist - Remote ...

Urgent Search! Machine Learning Engineer ...

▷ [Urgent] Data Scientist ...

(Urgent) Senior Data Scientist - Talent Pool ...

We are hiring: Data Scientist, London Geolytix(Urgent) ...

Geospatial Data Engineer

Job Band Job number: 21462 Principal Senior DataScientist – NLP Salary range: Up to £118,000 depending on relevantskills, knowledge and experience. The expected salary range forthis role reflects internal benchmarking and external marketinsights. Contract type: permanent contract Location: London orSalford based Benefits Our comprehensive benefits package includes:1. An employer pension contribution of up to 10% 2. 26 days’ annualleave (based on full time hours) + bank holidays and the option tobuy/sell additional days 3. Contributory lifestyle benefit optionsincluding discounts at hundreds of retailers, cycle to work scheme,discounted gym memberships and healthcare schemes 4. Employeeassistance and well-being programmes 5. Learning and developmenttailored to your role – this could include industry recognisedqualifications, coaching and mentoring 6. An inclusive and diverseenvironment with opportunities to join staff networks including:Women’s Network, National Disability Networks and many more. Familyfriendly flexible working arrangements, such as hybrid working, jobsharing, flexitime and compressed hours can be requested. Wewelcome candidates from all backgrounds and especially welcomeindividuals from underrepresented groups. If you require anyreasonable adjustments at any time, please let us know bycontacting us with the job reference in the subject. IntroductionBBC R&D’s AI Research Applied Area is focused on the use ofMachine Learning and Artificial Intelligence across the BBC. AIResearch works closely with other BBC R&D Applied ResearchAreas, BBC Product and Technology Groups and senior businessstakeholders across the BBC to accelerate Machine Learning basedinnovation. Reporting to the Head of AI Research, the SeniorPrincipal Data Scientist will lead a team of machine learningresearchers focusing on natural language processing. As a SeniorPrincipal Data Scientist, you will play a key role in drivingtechnical excellence and innovation. You will lead a team ofmachine learning scientists, providing mentorship and technicalguidance while ensuring that the team’s work aligns with businessobjectives. This is a hands-on role that involves active hands-oncontribution. Interview process 1. Machine Learning system designinterview 2. Coding interview 3. BBC culture fit and valuesalignment interview Responsibilities 1. Provide technicalleadership for projects involving fine tuning / alignment of largelanguage models. 2. Lead the design and development of scalablegenerative language and multimodal models and algorithms. 3. Mentorand guide a team of individual contributors, fostering a culture ofexcellence and continuous improvement. 4. Set clear expectationsand create a positive work environment, collaborating closely withengineering and management teams. 5. Contribute to the AI ResearchTeam’s portfolio by publishing novel research in top-tier journalsand conferences. Are you the right candidate? 1. Ph.D. in MachineLearning, Computer Science or a related field. 2. 7+ years ofexperience in machine learning, with a focus on NLP. 3. Proventrack record of research excellence and innovation in computervision or NLP. 4. Deep understanding of machine learning systems,from concept through to deployment, with the ability to communicateeffectively to both technical and non-technical stakeholders. 5.Proficiency with machine learning frameworks, such as PyTorch orTensorFlow. 6. Strong expertise in deep learning algorithms, modelarchitectures, and the AI development lifecycle. 7. Hands-onexperience with the latest technologies and models in NLP. 8.Strong programming skills in Python and familiarity with softwaredevelopment best practices. 9. Excellent verbal and writtencommunication skills. 10. Passion for innovation. About the BBC TheBBC is committed to redeploying employees seeking suitablealternative employment within the BBC for different reasons andthey will be given priority consideration ahead of otherapplicants. Priority consideration means for those employeesseeking redeployment their application will be considered alongsideanyone else at risk of redundancy, prior to any individuals beingconsidered who are not at risk. We don’t focus simply on what we do– we also care how we do it. Our values and the way we behave areimportant to us. Please make sure you’ve read about our values andbehaviours here. Diversity matters at the BBC. We have a workingenvironment where we value and respect every individual’s uniquecontribution, enabling all of our employees to thrive and achievetheir full potential. We want to attract the broadest range oftalented people to be part of the BBC – whether that’s tocontribute to our programming or our wide range of non-productionroles. The more diverse our workforce, the better able we are torespond to and reflect our audiences in all their diversity. We arecommitted to equality of opportunity and welcome applications fromindividuals, regardless of age, gender, ethnicity, disability,sexual orientation, gender identity, socio-economic background,religion and/or belief. We will consider flexible working requestsfor all roles, unless operational requirements prevent otherwise.To find out more about Diversity and Inclusion at the BBC, pleaseclick here. Company: BBC Qualifications: Language requirements:Specific requirements: Educational level: Level of experience(years): Senior (5+ years of experience) Tagged as: Industry,Language Modeling, Machine Learning, Natural Language Processing,NLP, United Kingdom #J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.