12 of 12 Jupyter Jobs in the City of London

a related field. Proven experience 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 driving measurable business impact. Knowledge More ❯

field. Proven experience in machine 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 data science teams. Deep knowledge More ❯

field. Proven experience in machine 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 data science teams. Deep knowledge More ❯

preprocessing, language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL More ❯

include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series More ❯

in HFT or MFT Deep understanding of probability and statistics, data modelling skills, scientific thinking Coding skills, particularly in Python, to implement and test research models using tools like Jupyter Notebooks. Excellent communication skills to articulate ideas and engage in productive discussions within the team. Humility and a collaborative mindset, willing to challenge and be challenged to refine ideas Compensation More ❯

and system integrations across the data stack. Design and support secure, scalable systems using network protocols (TCP/IP, OSI) Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK. Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets. If you are interested in this Big Data Engineer More ❯

and system integrations across the data stack. Design and support secure, scalable systems using network protocols (TCP/IP, OSI) Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK. Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets. If you are interested in this Big Data Engineer More ❯

and supporting the business with both regular and ad hoc data deliverables 🛠 Tech you’ll work with: SQL Server (SSIS, SSRS, SSAS) Python AWS stack – Glue, Lambda, S3, EC2, Jupyter Power BI or Tableau (bonus) Excel (PowerPivot, VBA, lookups, advanced formulas) 🌱 You’ll also: Collaborate closely with our Data Engineers and Product Owner Own your solutions end-to-end, from More ❯

on solutions. Requirements 1-4 years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/ More ❯

and benefits package Your Responsibilities: As an AI Solutions Specialist, you will be responsible for: - Designing, developing, and implementing advanced AI language models - Working with tools such as TensorFlow Jupyter notebooks and AutoML to create, test, and deploy AI solutions - Utilizing prompt engineering techniques to refine and optimize model outputs - Leveraging Azure services to enhance and scale AI models and … cross-functional teams to integrate AI solutions into various products and services Mandatory Skills: - Proven experience in prompt engineering and language model development - Proficiency in Python and experience with Jupyter notebooks and AutoML - Experience in developing and utilizing APIs - Experience in building AI agents and implementing autonomous systems - Excellent communication and teamwork abilities - Foundational knowledge of Microsoft Azure and its More ❯

full ownership of building the framework. This is a junior to mid-level developer role focused on building out and optimizing research and backtesting framework. Proficiency in Q and JupyterLab is required. The developer should have a basic understanding of backtesting methodologies. Performance optimization— speed and memory efficiency —will be the main measure of success in this role. This person More ❯