1 to 25 of 62 Remote NumPy Jobs in the UK

MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression More ❯

MVP development and iteration. • Data Storyteller – makes technical findings accessible and impactful. • Connector – collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required • Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) – essential; R (desirable) • Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP • Machine Learning & AI: Classification, regression More ❯

MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression More ❯

Proficiency in production-grade programming languages such as Rust and C++. Decent understanding of distributed systems, cluster orchestration and management. Good knowledge of data science tools (e.g., PyTorch, Jax, Numpy) and programming languages such as Python. Experience with monitoring tools (Prometheus, Grafana). Experience working in Agile development teams with excellent collaboration skills. Grit in the face of technical obstacles. More ❯

like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with a technical lead in a service-based and serverless architecture Essential Python Engineer skills More ❯

lead technical workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into More ❯

lead technical workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into More ❯

real-time and batch data pipelines. Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS More ❯

real-time and batch data pipelines. Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS More ❯

real-time and batch data pipelines. Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS More ❯

real-time and batch data pipelines. Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS More ❯

real-time and batch data pipelines. Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS More ❯

data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. Waterfall. More ❯

data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. Waterfall. More ❯

Trading client are looking for a Quantitative Python Developer to join their team. The role will be working within a LNG, Power, Gas team. Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be More ❯

My Energy Trading client are looking for a Quantitative Python Developer to join their team.The role will be working within a LNG, Power, Gas team.Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be More ❯

Trading client are looking for a Quantitative Python Developer to join their team. The role will be working within a LNG, Power, Gas team. Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be More ❯

Mandatory Good understanding of quantitative finance Good experience developing and optimising Python-based calculators and models. Strong experience developing high-performance APIs using Flask or FastAPI. Expertise in Pandas, NumPy and other computing libraries. Strong experience liaising with front-office stakeholders What you'll get in return Initial 6-month contract with extensions Up to £700pd umbrella London-based hybrid More ❯

Mandatory Good understanding of quantitative finance Good experience developing and optimising Python-based calculators and models. Strong experience developing high-performance APIs using Flask or FastAPI. Expertise in Pandas, NumPy and other computing libraries. Strong experience liaising with front-office stakeholders What you'll get in return Initial 6-month contract with extensions Up to £700pd umbrella London-based hybrid More ❯

Detection, LLMs, and frameworks such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations More ❯

designing and implementing efficient data pipelines, including performance tuning and optimization. Proven ability to apply machine learning techniques to real-world problems. Familiarity with core libraries such as Pandas, NumPy, Scikit-learn, SciPy, and Polars is expected. Experience with digital signal processing, mobile sensor physics, or behavioural signal design. Proven track record of designing and delivering scalable data products, driving More ❯

Stay up-to-date with emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally More ❯

requirements 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 More ❯

Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work More ❯

A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A More ❯