10 of 10 Data Scientist Jobs in the East of England

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM 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 … 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, and monitoring What you'll bring Hands-on Python ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM 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 … 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, and monitoring What you'll bring Hands-on Python ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM 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 … 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, and monitoring What you'll bring Hands-on Python ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM 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 … 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, and monitoring What you'll bring Hands-on Python ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM 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 … 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, and monitoring What you'll bring Hands-on Python ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM 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 … 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, and monitoring What you'll bring Hands-on Python ...

Data Scientist London - Hybrid Salary 70-75,000 % Bonus We're hugely excited to be working exclusively alongside a global Food & Beverage organisation, partnering their search for two talented Data Scientists. You can expect ahuge amount of autonomy and general appetite for Data Science … wider business, as this award-winning group look to upscale their Data Science & AI arm. What you can expect: A very greenfield landscape to work on; working closely with individual teams to understand, model, and ultimately apply the best use of Data Science. As such, you can expect ...

Location: Saffron Walden Job Type: Permanent Hours: Monday-Friday, 9.00-17.30 Salary: Competitive Job Reference: 35947 Polytec are seeking a Senior RF Data Scientist/Research Engineer to develop signal-processing and machine learning solutions using RF data from software-defined radios for our Saffron Walden based … role sits at the intersection of RF hardware, DSP and applied ML in a fast-paced RandD environment. Responsibilities: Analyse and characterise IQ data from SDR platforms Build RF signal analysis and visualisation tools Design RF data-processing pipelines accounting for real-world hardware effects Develop ...

modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop … holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel ...

FactTrace is now operating as a trading company and going public in January 2026. This next phase is about delivery, real-world data, and outcomes under scrutiny . The Role We are looking for exceptional AI Data Scientists based in the UK who want to work side … repeatable outputs Work within an engineering pipeline to ensure models can run reliably Collaborate closely with validation leads to test performance on real-world data Iterate based on feedback, results, and observed behaviour Clearly document assumptions, limits, and performance Participate in technical reviews focused on learning and improvement What ...