1 to 25 of 34 Remote/Hybrid NumPy Jobs in London

problems. Experience of coaching junior data scientists/analysts. Experience in reviewing code and documentation to a high standard. Experience in using Python (pandas, numpy, scikit-learn). End-to-end experience of managing multiple data science and analytics projects in different industries and with different types of data (text ...

Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing ...

least one primary backend language: + **Java** (Modern Java, Spring Boot, concurrency, low-latency tuning, GC optimization), OR + **Python** (Modern Python, asynchronous programming, NumPy/Pandas, FastAPI), OR + **.NET/C#** (Modern .NET Core, multi-threading, asynchronous I/O, memory profiling).* **Distributed Systems & Messaging:** Strong experience ...

engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines ...

/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g. ...

production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering Rigor: Proven ability to build for production. Experience working in cloud ...

Hands-on experience with SQL for data processing and analytics. Strong programming skills in Python , with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch . Experience with Databricks and Spark for data manipulation and querying. Prior experience in the retail industry, with ...

experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment ...

Python and SQL Strong foundation in mathematics and statistics Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data Familiarity with Git as part of the development process ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems Programming & Frameworks Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such ...

production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues ...

integrate and deploy Machine Learning capabilities and techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‐learn Take pride in writing clean, reusable, maintainable and well‐tested code A desire to learn and embrace ...

written communication Share ideas with the wider team, learn from and contribute to the body of knowledge Key Skills Experience using Python (pandas, numpy, scikit-learn) and SQL Theoretical understanding of core ML techniques and statistical principles Strong numerical and analytical skills, comfortable working with large datasets Confident communicator ...

designed metrics, or run structured model comparisons, and you can talk about where your own metrics misled you - Strong Python for data work (pandas, numpy, notebooks, and the ability to write code other people can run) - Confident with SQL and relational databases - Solid grounding in statistics and experiment design: sampling ...

data analyst or similar role. Strong SQL skills, including complex joins, aggregations and window functions. Proficiency in Python for data analysis (e.g., pandas, NumPy). Hands‐on experience with at least one cloud data platform: Databricks, AWS or Snowflake. Strong analytical and problem‐solving skills, with close attention to detail. ...

databases like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy and Pandas, along with experience in DevOps practices using CI/CD pipelines. This position offers a hybrid work environment based in Greater London. #J ...

scripting A commitment to writing testable, maintainable code. Advanced to expert level python development skills, including use of data analysis packages such as Numpy, Pandas, etc. Experience with SQL and/or other database technologies Knowledge of modern technologies such as AWS, Airflow, Docker, GitLab and Redis Ideally working with ...

experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering ...

real-world problems in a professional environment. Programming Fluency: Strong programming skills in Python and SQL plus specific proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost, LightGBM) Domain Knowledge: A strong understanding of cricket and the factors influencing match state outcomes (win probability, expected metrics like xR/ ...

professional data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time ...

Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile apps ...

learn from and contribute to the body of knowledge. Key Skills Experience using Python and SQL. Strong proficiency with data manipulation including packages like NumPy, Pandas. Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment. Self driven and willing ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

level Python skills and can also read and understand C++ code (will also consider Java experience)You have experience with Python data libraries e.g. NumPy, PandasYou have experience of working on MFT (Mid-Frequency Trading systems)You have strong analysis and problem solving abilitiesYou're collaborative with great communication skillsYou ...