National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Only 24h Left: Data Scientist – PhD Computer Science,Recommender Systems, NLP, Machine Learning, Java ...

NLP PEOPLE
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist (Equity Only) - 1%

Lead Data Scientist (Equity Only) - 1%

Lead Data Scientist (Equity Only) - 1%

Lead Data Scientist (Equity Only) - 1%

Lead Data Scientist (Equity Only) - 1%

Lead Data Scientist (Equity Only) - 1%

Elsevier is in the midst of a TRANSFORMATION andTECHNOLOGY is simultaneously at the FOREFRONT and the DRIVINGFORCE. Our innovative technology platforms and smart contentsolutions operate at the cutting edge of big data, semantic web andcloud technology, enabling faster more effective criticaldecision-making daily across the globe. Product Mendeley is part ofElsevier. Mendeley is changing the way research is done. We aremission led with a strong commitment to providing the best tools tohelp researchers and scientists do their work. We’ve built a globalresearch collaboration platform, reference management tool and openresearch database. The Role We are looking for a Data Scientistwhose main responsibilities are to research, develop and evaluatealgorithms in order to build software tools for researchers. Youwill contribute to building systems that help researchers toorganise their research, contextualise it with respect to otherresearch, collaborate with one another, and discover new research.Responsibilities: 1. Research, develop and evaluate algorithms foruse in Mendeley’s software tools. 2. Demonstrate how well thesealgorithms perform when applied to real data. 3. Work withengineering teams to deliver algorithms in production environments.What you’ll be doing: 1. Identify, obtain and prepare data sets fortraining and testing algorithms. 2. Research, develop and evaluatealgorithms for systems such as recommender and informationextraction systems. 3. Build proof of concept prototypesdemonstrating these algorithms in action. 4. Evaluate algorithmsthrough controlled offline and online experiments. 5. Work withengineering teams to guide prototypes through to production, makingreliable/scalable systems. 6. Manipulate large scale data (datacleaning, data normalisation, data linkage). Company: ElsevierQualifications: What you should bring: 1. Strong research anddevelopment experience in industry and/or academia. 2. Hold an MSc,preferably PhD, in Computer Science. 3. Experience working withlarge graph/network data sets, with rich textual content. 4.Experience of Java programming; can independently prototypesolutions to problems. 5. Experience with Recommender System, NLPand Machine Learning libraries. 6. Experience with big datatechnologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala)is desirable but not required. 7. Unix skills. 8. Experience withstart-up and R&D environments. 9. Strong presentation skills incommunicating with experts and novices. Language requirements:Fluent spoken and written English. Educational level: MasterDegree. Please mention NLP People as a source when applying.#J-18808-Ljbffr

National AI Awards 2025

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.