Jupyter Jobs in the UK excluding London

8 of 8 Jupyter Jobs in the UK excluding London

AI Senior Data Scientist

Edinburgh, United Kingdom
Wood Mackenzie Ltd
experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Data Scientist

Reigate, Surrey, England, United Kingdom
Hybrid / WFH Options
esure Group
to strong results. Experienced in engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with More ❯
Employment Type: Full-Time
Salary: Salary negotiable
Posted:

AI Engineer

Reigate, Surrey, England, United Kingdom
Hybrid / WFH Options
esure Group
to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM More ❯
Employment Type: Full-Time
Salary: £0 per annum
Posted:

ML Ops Engineer

London, South East, England, United Kingdom
Hybrid / WFH Options
Salt Search
into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc. More ❯
Employment Type: Contractor
Rate: £400 per day
Posted:

ML & Cloud Infrastructure Engineer

London, South East, England, United Kingdom
Harnham - Data & Analytics Recruitment
cloud platforms (AWS, GCP, Azure). Proficiency in containerization and orchestration (Docker, Kubernetes). Expertise in managing and optimizing cloud-based systems at scale. Preferred Skills Familiarity with Python (Jupyter) and ML frameworks (e.g., PyTorch). Knowledge of monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Cloud SQL, etc.) and visualization tools (QuickSight, Superset). More ❯
Employment Type: Contractor
Rate: £400 - £600 per day
Posted:

ML & Cloud Infrastructure Engineer

London, South East, England, United Kingdom
Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience. This is a unique opportunity to join a visionary team redefining More ❯
Employment Type: Full-Time
Salary: £140,000 - £160,000 per annum, Inc benefits
Posted:

ML & Cloud Infrastructure Engineer

London, South East, England, United Kingdom
Harnham - Data & Analytics Recruitment
for automation. Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What More ❯
Employment Type: Full-Time
Salary: £100,000 - £180,000 per annum
Posted:

Machine Learning Engineer

London, South East, England, United Kingdom
Hybrid / WFH Options
Sanderson
technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and More ❯
Employment Type: Contractor
Rate: £700 - £750 per day
Posted:
Jupyter
the UK excluding London
Median
£100,000