Reads like an AI Engineer role: building products on existing AI models.
UK - London (London Wall)
Open 5 months, first seen by us 160 days agoIn this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support.
Design, build, and evaluate AI/ML, NLP, and generative AI solutions for knowledge discovery
Develop LLM workflows and RAG systems for search, summarization, and Q&A
Build retrieval, ranking, and recommendation capabilities
Write production-ready Python and help engineering teams deploy at scale
Set up evaluation and monitoring frameworks for quality and reliability
In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions.
Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.
Build intelligent retrieval, ranking, recommendation, and decision-support capabilities
Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
Strong Python skills and solid machine learning fundamentals.
Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
Familiarity with cloud platforms and modern software engineering practices.
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 160
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- Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. - Write production-ready Python code and partner with engineering teams to deploy solutions at scale. - Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.
- Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. - Strong Python skills and solid machine learning fundamentals. - Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Senior Data Scientist, London/Oxford hybrid working.
Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale?
Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals?
About our Team
Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.
About the Role
In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions.
Responsibilities
Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.
Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.
Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.
Requirements
Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.
Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
Strong Python skills and solid machine learning fundamentals.
Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
Familiarity with cloud platforms and modern software engineering practices.
Strong communication, collaboration, and mentoring skills.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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UK - London (London Wall)
Job Description Senior Data Scientist, London/Oxford hybrid working. Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale?
- Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks. - Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. - Familiarity with cloud platforms and modern software engineering practices.
Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: