151 to 175 of 920 Python Jobs in the North of England

in Engineering, Computer Science, Motorsport Engineering, or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of More ❯

in Engineering, Computer Science, Motorsport Engineering, or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of More ❯

in Engineering, Computer Science, Motorsport Engineering, or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of More ❯

in Engineering, Computer Science, Motorsport Engineering, or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of More ❯

in Engineering, Computer Science, Motorsport Engineering, or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of More ❯

an equivalent qualification and experience. Proven experience in relevant industry. Experience with Linux and developing real-time software in C/C++, Java or Python is essential. Experience of robotics, machine control systems and automation is essential. A basic understanding of electronics and the ability to read electrical schematics is More ❯

and join us: AWS: developing and deploying cloud native solutions using Terraform or similar IaC tools (ESSENTIAL) Server-side development using GO, Node.js or Python FastAPI Relational database technologies, such as PostgreSQL, including experience with query optimisation and schema design Non-relational database technologies such as DynamoDB or MongoDB Familiarity More ❯

with back-end Azure Data Engineer technologies like ADF, Azure SQL Database and Synapse. Proficient in designing, implementing, and maintaining solutions using Microsoft Fabric. Python data engineering experience. Strong understanding of SQL and NoSQL databases, SQL, CosmosDB and Kusto Query Language (KQL). Solid experience of data pipeline development using More ❯

Senior Leadership Team. Familiarity with Hyperscaler platforms, particularly Google Cloud Platform (e.g., Vertex AI) is preferred. Proficiency in technical languages and libraries such as Python and React. Solid understanding of technical architecture, including both on-premises and cloud environments. Knowledge of LLMs, ML, and NLP, especially as applied within conversational More ❯

years of experience in Java development. Experience with Cloud Native technologies on AWS is essential. Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Set yourself apart: Proven ability to apply analytical and creative thought and translate into More ❯

languages, tools and technology that are at the leading edge Requirements 3-10 years full stack experience in one or more languages (e.g. Spring, Python, Node etc) Software engineering patterns and practices (server-less, micro services etc) Software development practices (CI/CD, Test and Behaviour Driven Development etc) Continuous More ❯

produces timely code fixes What background are we looking for? A good understanding of any of the following programming languages: Java, JavaScript, React, Node.JS, Python, C++ The desire to solve complex technical problems, helping our customers achieve their goals Someone who has the aspiration to learn new skills and better More ❯

picture and ensuring the best outcomes for our stakeholders by providing straightforward but robust solutions. Key technical skills: Strong knowledge and deep experience of Python programming, libraries and toolchains Familiarity with large language models (LLMs) like GPT, Gemini, and open-source models such as Lama and MRR Solid understanding of More ❯

Lake, and data lake architectures. Experience working with data modelling, normalization, and star schema design for data warehouses. Proficient in scripting languages such as Python, Shell, or PowerShell for automation tasks. Knowledge of CI/CD practices and tools for data engineering pipelines. Solid understanding of cloud-native data architectures More ❯

Lake, and data lake architectures. Experience working with data modelling, normalization, and star schema design for data warehouses. Proficient in scripting languages such as Python, Shell, or PowerShell for automation tasks. Knowledge of CI/CD practices and tools for data engineering pipelines. Solid understanding of cloud-native data architectures More ❯

have the opportunity to work across a variety of technologies and will need to be comfortable doing so. Our teams have used Java, Ruby, Python, ES6 with React, as well as C# with .NET Core, and plenty more stacks. We don't limit ourselves as a company to particular technologies More ❯

AWS services like S3, Lambda, and MSK. AI Tools: Familiarity with AI-driven tools such as ThoughtSpot or Amazon QuickSight. Programming Languages: Familiarity with Python or R for data manipulation and analysis. Big Data Technologies: Experience with big data technologies like Hadoop or Spark. Data Governance: Understanding of data governance More ❯

PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native AI More ❯

Group University Key Skills and experience: In-depth knowledge and understanding of C#/.Net or any other OOP language such as Java/Python SQL Databases Cloud experience (Azure/AWS) This role is primarily on-site with 4-5 days a week required in their offices based in More ❯

CI/CD pipelines. Proficiency in using Chef for configuration management. Experience with container technologies like Docker, Podman, and Kubernetes/OpenShift. Proficiency in Python/Ruby, Bash/PowerShell scripting. Proficiency in using Git for version control. Experience with RHEL and Windows Server administration. Understanding of security best practices. More ❯

and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more More ❯

DevOps tools and practices (CI/CD, IaC, monitoring). Proficiency in cloud platforms (AWS, Azure, or GCP). Strong scripting or coding skills (Python, Bash, Go, etc.). Experience with containerization and orchestration (Docker, Kubernetes). Fluent in German (native) and English. Bonus Skills: Background in IT consulting or More ❯

LLMs and/or TTS systems in production. Experience using Docker and Kubernetes (desirable) Experience with vLLM, TensorRT, ONNX, TorchServe, Triton, or similar tools. Python, cloud platforms, and performance optimisation experience Why Join Us? At ConnexAI, you will solve complex problems in a fast-growing, innovative industry. You’ll directly More ❯

data models Expertise in Power BI, including dashboards and paginated reports Practical experience applying AI tools to enhance analytics or operations Comfortable coding in Python Strong DAX and T-SQL skills, including query optimization Industry experience in insurance or financial services is a plus Familiarity with Databricks is advantageous Confident More ❯

and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies: Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Ability to work independently and lead projects from More ❯