MongoDB. Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures. More ❯
London, England, United Kingdom Hybrid / WFH Options
Trudenty
to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity More ❯
engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services More ❯
for collaboration and review). Machine/Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree More ❯
in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for More ❯
in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for More ❯
Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or Geography. Relevant industry sector knowledge ideal but not essential. A strong communicator More ❯
Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator More ❯
for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. Experience with A/B testing and other experimentation methods to validate model performance and business impact. Experience with cloud More ❯
Welwyn Garden City, Hertfordshire, UK Hybrid / WFH Options
Ocado Technology
as Linear Programming or Constraint Programming and heuristics such as Local Search or Genetic Algorithms) Experience with data analysis and visualisation tools such as Jupyter, pandas, matplotlib. Experience with big data technologies (e.g. BigQuery, Spark, GCS, AWS, etc.). Experience using Kubernetes, Docker and Cloud computing platforms (GCP, AWS) What More ❯
Welwyn Garden City, Hertfordshire, UK Hybrid / WFH Options
Ocado Group
as Linear Programming or Constraint Programming and heuristics such as Local Search or Genetic Algorithms) Experience with data analysis and visualisation tools such as Jupyter, pandas, matplotlib. Experience with big data technologies (e.g. BigQuery, Spark, GCS, AWS, etc.). Experience using Kubernetes, Docker and Cloud computing platforms (GCP, AWS) What More ❯
. Experience with microservices architecture and serverless/lambda functions . Strong database skills, particularly PostgreSQL . Familiarity with common Python libraries (Pandas, NumPy, Jupyter Notebooks). Experience with Git, GitHub, Docker, and cloud deployments . Understanding of monitoring and observability using OpenTelemetry . Desirable Skills: Cloud expertise in AWS More ❯
. 5+ years of professional working experience. Someone who thrives in the incremental delivery of high quality production systems. Proficiency in Java, Python, SQL, Jupyter Notebook. Experience with Machine Learning and statistical inference. Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for More ❯
or OpenSearch. Experience with building ML services using Python web frameworks such as FastAPI or stream processing libraries like Faust. Experience using tools like Jupyter Notebooks, AWS SageMaker, and AWS Bedrock. Hands-on expertise with Kafka and vector databases. Experience managing ML lifecycle workflows with MLflow. Deep understanding of LLMs More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
Have experience designing machine learning algorithms, including feature engineering, model selection, and hyperparameter tuning. Are comfortable working with Python data science libraries such as Jupyter Notebooks, Numpy, Pandas, and SciKit Learn. Can effectively visualise data and confidently communicate insights to colleagues from a range of disciplines. Have an interest in More ❯
the ability to deliver timely solutions to portfolio and risk managers within the firm. Mandatory Requirements 3+ years Python development experience (pandas, numpy, polars, jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database technologies BA or More ❯
systems, preferably in systematic equity trading markets Substantial KDB/Q and Python programming experience Good knowledge of modern data science tools stacks, e.g. Jupyter, pandas, numpy, sklearn, with ML experience Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related STEM field from a top-tier university Good More ❯
public databases. Communicate clearly with researchers and help the organization in realizing its objectives. Clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums. Fix bugs in the code and create thorough documentation. Utilize extensive data analysis skills to develop and respond to important More ❯
for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research More ❯
for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research More ❯
environments including cloud. Desirable Experience Experience using monitoring tools (Zabbix, Nagios, Manage-Engine, SolarWinds, Prometheus, Grafana). Familiarity with Run.Ai, Omniverse, Weights and Biases, Jupyter, TensorBoard, Bright, Weka, NVIDIA. Proficient with code languages and automation tools (Salt, Landscape, Bright Cluster Manager, Python, etc.). Experience working with Atlassian Stack (Jira More ❯
especially Python. Familiarity with Matlab would be a plus Experience with data science tools and libraries: NumPy, SciPy, Matplotlib, Scikit-learn, PyTorch (or equivalent), Jupyter Notebooks. Well-founded knowledge on Object Oriented Programming, and Software Engineering Desired but not required, experience in formulating and solving optimization problems with python libraries More ❯
