4 of 4 scikit-learn Jobs in Bristol

ML Engineer - LLM RAG AWS MLOps – Bristol (Hybrid)

Hiring Organisation
Avanti
Location
Bristol, Avon, England, United Kingdom
Employment Type
Full-Time
Salary
£60,000 - £80,000 per annum
embeddings and semantic search Collaborating with engineering, data and product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention ...

Artificial Intelligence Engineer

Hiring Organisation
Unilink
Location
Bristol, UK
Employment Type
Full-time
AI Engineer Reporting to: Transformation Director Location: Remote Contract Type: Full-time, Permanent Role Summary We are seeking a creative and skilled AI Engineer to help drive Unlinks mission of transforming justice services through advanced ...

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026

Hiring Organisation
MBDA
Location
Bristol, Avon, South West, United Kingdom
Employment Type
Permanent, Work From Home
will have the opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a wider cohort ...

Data Scientist

Hiring Organisation
trg.recruitment
Location
Bristol, UK
Employment Type
Full-time
features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote … What you'll do Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment ...