

Evantis Technology
Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (contract) focusing on NLP/LLM, requiring expertise in transformer models and semantic search. The 6-month remote contract offers a pay rate of "B2B/Outside IR35" and targets UK/EU time zones.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
November 22, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Outside IR35
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#Transformers #Model Deployment #Monitoring #Azure #AI (Artificial Intelligence) #Scala #Data Engineering #Deployment #AWS (Amazon Web Services) #MLflow #BERT #NLP (Natural Language Processing) #Classification #PyTorch #Docker #ML (Machine Learning) #Python #Data Science #Cloud #GCP (Google Cloud Platform) #"ETL (Extract #Transform #Load)" #Databases
Role description
Senior NLP / LLM Data Scientist (Contract) β Transformers | Semantic Search | RAG
Remote | UK/EU Time Zones | B2B/Outside IR35
Weβre hiring a Senior Data Scientist for a long-term contract with a scaling digital platform thatβs investing heavily in its AI, search, and NLP capabilities.
This is a hands-on NLP/LLM role, working across production-grade text systems that power search, ranking, classification, lead-matching, and customer experience. Youβll join a small, high-impact data function where ownership is high and the work you ship directly influences product performance.
Youβll Be Working On:
β’ Building and improving modern NLP pipelines using transformer models (BERT/SBERT/DistilBERT/LLM embedders)
β’ Designing and deploying semantic search components (dense retrieval, hybrid retrieval, vector stores)
β’ Developing text classification and similarity models for customer behaviour and lead-quality analysis
β’ Contributing to RAG-based AI features (retrieval augmented generation, prompt workflows, embedding pipelines)
β’ Collaborating closely with Data Engineering and MLOps to build robust, scalable, end-to-end NLP model deployment & monitoring
Tech Environment:
β’ Python (Transformers, SentenceTransformers, PyTorch, scikit-learn)
β’ HuggingFace ecosystem (pretrained & fine-tuned models)
β’ Vector databases (FAISS, Pinecone, Weaviate)
β’ Cloud ML platforms (AWS/GCP/Azure)
β’ CI/CD, MLflow, Docker, modern MLOps tooling
β’ Experience with LLM APIs (OpenAI, Cohere, Anthropic) is highly valuable
What Weβre Looking For:
β’ A Senior Data Scientist with proven, recent production experience in NLP/LLMs
β’ Strong knowledge of transformer-based modelling, semantic search, embeddings, and text-classification pipelines
β’ Confident designing NLP/LLM systems from scratch β retrieval, ranking, evaluation, deployment
β’ Clear communicator who can explain architecture and reasoning in a structured way
β’ Pragmatic, delivery-focused, and able to operate with autonomy
Key Points
β’ 6-month contract (extensions very likely)
β’ Remote β UK or EU time zones
β’ Start date: ASAP
β’ Streamlined interview process
This is a fantastic opportunity for a hands-on NLP/LLM specialist to build real production systems, drive meaningful product improvements, and help shape the next phase of AI-driven innovation within a fast-moving digital business.
If this sounds like your kind of project, please apply!
Senior NLP / LLM Data Scientist (Contract) β Transformers | Semantic Search | RAG
Remote | UK/EU Time Zones | B2B/Outside IR35
Weβre hiring a Senior Data Scientist for a long-term contract with a scaling digital platform thatβs investing heavily in its AI, search, and NLP capabilities.
This is a hands-on NLP/LLM role, working across production-grade text systems that power search, ranking, classification, lead-matching, and customer experience. Youβll join a small, high-impact data function where ownership is high and the work you ship directly influences product performance.
Youβll Be Working On:
β’ Building and improving modern NLP pipelines using transformer models (BERT/SBERT/DistilBERT/LLM embedders)
β’ Designing and deploying semantic search components (dense retrieval, hybrid retrieval, vector stores)
β’ Developing text classification and similarity models for customer behaviour and lead-quality analysis
β’ Contributing to RAG-based AI features (retrieval augmented generation, prompt workflows, embedding pipelines)
β’ Collaborating closely with Data Engineering and MLOps to build robust, scalable, end-to-end NLP model deployment & monitoring
Tech Environment:
β’ Python (Transformers, SentenceTransformers, PyTorch, scikit-learn)
β’ HuggingFace ecosystem (pretrained & fine-tuned models)
β’ Vector databases (FAISS, Pinecone, Weaviate)
β’ Cloud ML platforms (AWS/GCP/Azure)
β’ CI/CD, MLflow, Docker, modern MLOps tooling
β’ Experience with LLM APIs (OpenAI, Cohere, Anthropic) is highly valuable
What Weβre Looking For:
β’ A Senior Data Scientist with proven, recent production experience in NLP/LLMs
β’ Strong knowledge of transformer-based modelling, semantic search, embeddings, and text-classification pipelines
β’ Confident designing NLP/LLM systems from scratch β retrieval, ranking, evaluation, deployment
β’ Clear communicator who can explain architecture and reasoning in a structured way
β’ Pragmatic, delivery-focused, and able to operate with autonomy
Key Points
β’ 6-month contract (extensions very likely)
β’ Remote β UK or EU time zones
β’ Start date: ASAP
β’ Streamlined interview process
This is a fantastic opportunity for a hands-on NLP/LLM specialist to build real production systems, drive meaningful product improvements, and help shape the next phase of AI-driven innovation within a fast-moving digital business.
If this sounds like your kind of project, please apply!






