22 of 22 Remote Python Jobs in North Yorkshire

models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative

call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data

security, networking, and cost control. AZ-104 certification required; AZ-305, AZ-700 or AZ-400 a plus. Confident with automation and scripting (PowerShell, Python or similar). Solid understanding of system architecture, identity, and hybrid connectivity. Experience leading major incident resolution and root cause analysis. Familiar with ITIL processes

other SQL databases in production. Excellent understanding of distributed database internals and SQL, particularly ClickHouse is a major plus. Scripting experience with Shell or Python,and ability to read and understand C++ code. Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. You are a strong

modernise legacy code when necessary. Tech Stack: The team is modernising the platform, and you'll get to work with: Backend: Java, Typescript, NodeJS, Python; Infrastructure: AWS (EC2, CloudFront, Route53), Linux, Docker; Databases: MongoDB; Monitoring & CI/CD: Github, Jenkins, Terraform, CAdvisor, Prometheus, Grafana; iGaming experience: obligatory. What

problem-solving skills with strong business acumen. Clear communication and presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn

support for data engineering tasks to ensure reliability and availability of critical datasets. Key Requirements: Strong experience in Power BI, SQL, and Python is essential. Experience with Azure and Microsoft Fabric. Knowledge of BI engineering concepts, including data modelling, ETL, pipelines, and backend data management. Experience with legacy BI systems

support for data engineering tasks to ensure reliability and availability of critical datasets. Key Requirements: Strong experience in Power BI, SQL, and Python is essential. Experience with Azure and Microsoft Fabric. Knowledge of BI engineering concepts, including data modelling, ETL, pipelines, and backend data management. Experience with legacy BI systems

decision-makers. Required Skills Extensive experience as a Data Scientist, with a proven track record in leadership roles. Proficiency in programming languages such as Python, R, or SQL, and familiarity with data science libraries and frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding

retention What We Look For 2-4 years work experience in customer risk management at a payments or financial company. Fluent in SQL and Python A team player with ability to collaborate and influence across different teams in the organisation Ability to clearly communicate findings and recommendations to both technical

optimisation, and building reusable analytical datasets. Modern BI: hands-on experience with a modern BI platform with integrated semantic layer (e.g Omni, Looker, Thoughtspot) Python for analysis: practical experience with pandas/numpy and notebook-based workflows for LTV, attribution, simulations and experimentation analysis. Domain expertise: deep, practical knowledge

want someone who is prepared to upskill in the likes of more high level Aderant queries and requests, along with making a start with Python Development. It really is a great opportunity to develop your skills with the fantastic team around you that are prepared to invest the time into

Proven leadership experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation

similar locomotion systems. At least 2 years of rigging experience in a major DCC tool (e.g., Maya, Blender). Working knowledge of C++ or Python for building animation tools or runtime systems. Nice-to-Haves Experience with Git and Perforce for source control. Exposure to Niagara VFX systems and their

degree or equivalent experience in Computer Science, Software Engineering, or a related technical field Proficiency in two or more major programming languages (e.g., Python, C++, Go, Java) Strong grasp of algorithms, data structures, debugging, and code analysis Exceptional analytical, problem-solving, and written communication skills Prior experience with structured software

based systems and development environments for large-scale AI applications. Develop APIs and service layers to interface with high-performance AI models. Utilize Bash, Python, and C for scripting, automation, and debugging. Manage version control, build processes, and CI/CD pipelines using Docker, Git, and UNIX tools. Collaborate with … trading companies, or high-performance environments. Expert-level comfort with Linux—including kernel compilation, file permissions, and filesystem operations. Strong proficiency in Bash scripting, Python, Shell, and C. Experience with Docker, Git, and networking fundamentals. Open-source experience or familiarity with large codebases a plus. Bachelor's or Master

Senior Python Engineer | Fully Remote | High-Growth Tech Startup - Highly Profitable - Product Focused Engineers - 110k + Equity Join one of the most exciting early-stage startups of the year — backed by founders with a proven track record of building successful companies and already showing strong market traction. This … tackle complex engineering challenges, work with modern tooling, and see the direct impact of your work every single day. The Role As a Senior Python Engineer, you'll join a small, sharp engineering team responsible for building robust backend systems and data-driven features. You'll help shape architectural decisions

automation enhances them, you'll fit right in! Key Responsibilities Design, develop, and implement automated network solutions across large-scale customer environments. Use Python, Ansible, and Terraform to build repeatable, reliable automation workflows. Apply strong networking fundamentals to support configuration, optimisation, and troubleshooting. Lead customer-facing workshops, discovery sessions … real impact. Key Experience (Required) You must have experience with the following four core technologies: Networking fundamentals (routing, switching, firewalls, OSI model, IP services) Python (object-oriented) for automation scripts Ansible Terraform Plus: Background in either Networking/NOC Engineering (e.g., routers, switches, firewalls) or a solid Automation/DevOps

front-end experiences using modern frameworks (e.g. React, Vue, or similar) and contribute to back-end logic and API integrations (e.g. Node.js, .NET, or Python). Create and enhance automation solutions (e.g. chatbots, workflow optimisation, intelligent forms) using low/no-code and AI-enabled tools. Collaborate with content, product … development (HTML, CSS, JavaScript/TypeScript, frameworks such as React or Angular) and has foundational experience in back-end technologies (Node.js, .NET, or Python). Understands web architecture, APIs, and data integrations. Is familiar with content management systems (e.g. Kontent.ai) and website optimisation best practices. Can integrate automation solutions using

logic, and solve problems to improve the quality of each model. To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role will require proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) in order

logic, and solve problems to improve the quality of each model. To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role will require proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) in order

team. What You'll Be Doing Design, build, and deploy AI models into production (not just prototypes or wrappers). Develop and maintain backend Python services that power intelligent automation workflows. Implement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks … Experience: 3–5+ years in AI/ML engineering with a track record of deploying AI into production at scale. Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such