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Senior Data Scientist (AI-Powered Document Intelligence) – UK-Based
About the Role This exciting ** Senior Data Scientist** position is being managed by a partner company in the United Kingdom. The successful candidate will lead the development of an AI-powered document intelligence platform, specialising in extracting and structuring complex unstructured data—particularly in science, chemistry, or cheminformatics.
Line managers will work cross-functionally with software engineers, data engineers, and domain experts, leveraging Generative AI, LLMs, cloud technologies, and vector databases to revolutionise real-world data processing.
You’ll drive innovation, own end-to-end AI/ML pipelines, and deliver scalable solutions that transform unstructured documents into searchable, actionable knowledge.
Ideal for applicants who thrive on complex problem-solving, advanced technical ownership, and building cutting-edge AI systems—this role offers a short-term B2B contract with measurable impact in high-stakes industries.
Key Responsibilities
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Design & Optimise AI Systems
- Develop, optimise, and deploy advanced machine learning & deep learning models to extract meaningful insights from unstructured and scanned scientific PDFs, as well as complex data formats.
- Focus on document intelligence, including OCR, computer vision, and NLP, to improve information structuring from the ground up.
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Build & Integrate LLM-Based Solutions
- Engineer LLM applications using vector databases (Pinecone, Milvus, Weaviate, Qdrant) and RAG (Retrieval-Augmented Generation) techniques.
- Implement semantic search and intelligent document discovery via retrieval-augmented AI pipelines.
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Full ML Lifecycle Ownership
- Manage data preprocessing, feature engineering, modelling, validation, deployment, MLOps, and continuous optimisation (A/B testing, performance tuning, monitoring).
- Partner with DevOps and data engineering teams to ensure scalability, reliability, and maintainability of production systems.
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Domain-Specific Science Translation
- Apply expertise in chemistry/cheminformatics to translate complex scientific data into machine-readable formats, enabling advanced analytics and AI-driven insights.
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AWS Cloud & Deployment Excellence
- Deploy scalable, secure AI solutions in AWS cloud environments (SageMaker, Lambda, S3, EC2), ensuring high performance, low-latency outputs.
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Collaborative Innovation
- Work closely with cross-functional teams (engineers, subject-matter experts) to integrate AI models into production systems and align technical roadmaps with business objectives.
- Continuously review and incorporate emerging AI, NLP, and document-processing technologies to enhance the platform’s capabilities.
Requirements
Technical Skills
- Minimum 5 years of experience as a Data Scientist/Machine Learning Engineer, with a proven track record in production-grade systems.
- Strong background in Chemistry, Cheminformatics, or related scientific disciplines—hands-on research or industrial experience with complex datasets preferred.
- Proficient in Python (Jupyter Notebooks, Pandas, NumPy) and AWS cloud suite (SageMaker, Lambda, S3, EC2).
- Experience with AWS AI/ML capabilities (e.g., Alberta, SageMaker, ECR).
- Hands-on Large Language Model (LLM) experience, including:
- Prompt engineering
- Fine-tuning (e.g., using Hugging Face, Llama)
- RAG (Retrieval-Augmented Generation)
- Vector database integration (Pinecone, Milvus, Milvusconnect, Qdrant)
- Deep expertise in ML/DL frameworks: PyTorch, TensorFlow, Scikit-learn.
- Highly desirable:
- Document AI, OCR, or Computer Vision experience (OpenCV, Tesseract, Amazon Textract).
- RapidAPI or API-driven LLM use cases in research or industry.
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Soft Skills
- Strong analytical reasoning + problem-solving mindset.
- Collaborative culture-fit: ability to bridge technical and business needs.
- Autonomy with accountability: thrives in fast-paced, flexible environments.
- Preferred:
- Working remotely in European Central Time (EET/CET) hours.
Benefits & Perks
- Purely remote role, aligning with CET business hours.
- 2-month short-term contract (with potential for expansion).
- Access to avant-garde technologies: LLMs, vector databases, Generative AI, and cloud-native AI platforms.
- A facilitative, collaborative ecosystem—fostering knowledge sharing, mentorship, and continuous learning.
- High autonomy: focus on architectural decisions & impactful outcomes.
- Opportunity to grow your professional network across AI and chem-informatics communities.
- Meaningful partnership with a cutting-edge platform, solving crowdsourced scientific challenges.
How Jobgether Works
This role is processed via Jobgether’s AI-powered matching system. řek нам:
- Дождавшись оценки вашего резюме, мисонде технологии outline top candidates for this role, šiříme may be directly relayed to the hiring partner company.
- Applications are evaluated against core technical and cultural fit criteria.
P cunhaitive understanding: Clicking “Apply” signifies consent for Jobgether to process your GDPR-compliant personal data to assess your candidacy.
Note
Final application stages and interviews are handled *exclusively by our trusted B2B partner. Thank you for your interest—can’t wait to see what you’ll build!
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