1 to 25 of 168 Python Jobs in Slough

performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in More ❯

Looking For: 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 More ❯

to observability, SRE, and DevSecOps in production systems Act as a trusted point of contact for both internal and client-facing technical discussions Key Skills & Experience Proficiency in Java, Python, Go, JavaScript/TypeScript Strong experience with frameworks and tools including Spring Boot, React, Node.js, Docker, Kubernetes, and Terraform Deep understanding of modern architecture patterns such as microservices, RESTful APIs More ❯

CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public cloud platforms (Azure/Azure Stack) . Strong scripting skills (Python, Bash) are a plus. Key Skills: Proven track record as a Senior Elastic Consultant delivering complex solutions. Ability to mentor and support junior colleagues effectively. Strong problem-solving and analytical More ❯

talented developers to join our team and contribute to the success driving innovation and excellence in our network infrastructure. Essential Technical Skills: Front-end: Angular, TypeScript Back-end: Java, Python, Spring Boot Database: MongoDB, PL/SQL,NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana More ❯

performance through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part More ❯

the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker More ❯

up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization More ❯

to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer More ❯

implementing data retention and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

the industry. Your experience should include... 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles. 3+ years of professional experience in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common More ❯

work experience on SQL, PL SQL, Unix commands and Unix Shell Scripting Hands on experience in writing Joins, Queries, Sub Queries Scripting and Automation: Experience with scripting languages (e.g., Python, Go, Bash) for automation and tool development. Familiarity with CI/CD tools and practices, including automated testing frameworks. Analytical and Problem-Solving Skills: Strong analytical skills to troubleshoot and More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a More ❯

software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in More ❯

processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph More ❯

proven hands-on ability. Proven track record of managing and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git More ❯

of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly More ❯

Administrator (CKA) and/or Certified Kubernetes Security Specialist (CKS). AWS Certified Solutions Architect – Associate and/or AWS Certified DevOps Engineer – Professional. Nice-to-Have Experience with Python scripting for automation and reliability tooling. Knowledge of Java and/or React application deployments in production. Prior experience in high-volume, high-availability environments. More ❯

the existing code base, while also collaborating closely with diverse cross-functional teams of stakeholders and fellow developers. We are looking for someone with strong expertise in rust and python programming, debugging, and system optimization, who is passionate about delivering practical, high-quality, PnL-focused solutions. The primary focus for this role will be working on core engine components, including More ❯

Proven expertise in IBM QRadar and SIEM engineering. Strong knowledge of log formats, parsing, and normalisation. Proficiency in SIEM query languages such as KQL, SPL, AQL. Scripting experience with Python or PowerShell for automation. Deep understanding of threat detection, incident response, and the cyber kill chain. Familiarity with frameworks including MITRE ATT&CK, NIST, and CIS. Strong communication, analytical, and More ❯

projects. Experience and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on More ❯

Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. If you believe you have the experience required, please apply More ❯