working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, Flask. Frontend: React, Next.js. Data Science: Python, Jupyter, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Weights and biases. Infra: Pulumi, Docker, AWS AppRunner, Step Functions, Grafana cloud monitoring, Prefect. Who you are Must haves more »
in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Primis
and segmentation techniques Knowledge of programming languages (e.g. Python, R) Data Engineer Desirable's: Proven experience of Azure Services Knowledge of Data bricks and Jupyter notebooks Experience in data science and Machine learning models Azure | SQL | ETL | Data Models | Python | Design | R | Data Mining | Hybrid | Edinburgh | Please apply if you more »
Python programming but also operate with modern tech such as Snowflake, Airflow, DBT, Kubernetes/Docker and cubeJS whilst also using Tableau CRM and Jupyter notebooks for gaining data insights. If you think there’s a better or newer tool, you’re free to use that too. The key think more »
targets for experimental testing. Be familiar with NGS and associated pipelines. Collate and annotate reference sequences across multiple microorganisms. Be confident using python and Jupyter Lab books as a working and application development environment along with GIT as a version control system. Requirements include; MSc degree or equivalent in a more »
requirements (SOC II, ISO, etc.) Experience with project management tooling (e.g. Confluence, Jira) and methodologies (agile, kanban) Experience using engineering tools; python, PowerShell, SQL, jupyter, awscli, GitHub, RESTful APIs, MS graphAPI Exceptional communication and interpersonal skills, capable of engaging and influencing stakeholders at various levels Strategic mindset with the ability more »
skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
development, including research and developing new propositions. Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow more »
Cheltenham, England, United Kingdom Hybrid / WFH Options
Anson McCade
development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »
preferably with the MLOps context. -Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual Environment, Containerization with Docker/Podman, GitLab, Azure DevOps, Kubernetes, Azure more »
Redshift, AWS S3 Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Platforms: Creating data pipelines within Databricks or equivalent such as Jupyter Notebook, PowerBI (nice to have) of Enterprise Models for Engineering: microservices, APIs, AWS services to support models (SQS, SNS, etc.) Please Note, The role is more »
and Digital and TV attribution. Excellent data visualization and storytelling capabilities. Proficiency in coding, preferably in R or Python; experience with R Studio or Jupyter notebooks is a plus. Solid proficiency in Excel and PowerPoint. more »
requirements (SOC II, ISO, etc.) Experience with project management tooling (e.g. Confluence, Jira) and methodologies (agile, kanban) Experience using engineering tools; python, PowerShell, SQL, jupyter, awscli, GitHub, RESTful APIs, MS graphAPI Exceptional communication and interpersonal skills, capable of engaging and influencing stakeholders at various levels Strategic mindset with the ability more »
requirements (SOC II, ISO, etc.) Experience with project management tooling (e.g. Confluence, Jira) and methodologies (agile, kanban) Experience using engineering tools; python, PowerShell, SQL, jupyter, awscli, GitHub, RESTful APIs, MS graphAPI Exceptional communication and interpersonal skills, capable of engaging and influencing stakeholders at various levels Strategic mindset with the ability more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »
Manchester, England, United Kingdom Hybrid / WFH Options
Anson McCade
development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Primis
of Data warehousing Technical expertise with data models, data mining, and segmentation techniques Technical Lead Data Engineer Desirable's: Knowledge of Data bricks and Jupyter notebooks Proven experience of Azure Services Experience in data science and Machine learning models Knowledge of TFS/Azure DevOps. AWS | GCP | Azure | TSQL | SQL more »
forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks more »