1 to 25 of 276 Permanent Python Jobs in Slough

driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic ...

least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM ...

solutions Set up tooling for model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience ...

overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: Built modern full-stack applications w/focus on backend (e.g. Python, Java, Go) Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (eg. WebSockets ...

Qualifications, Knowledge, Key Skills and Experience Essential: Experience with TypeScript and React for building dynamic, responsive front-end applications. Back-end development experience in Python, particularly with frameworks like Django or Flask, or equivalent experience in other back-end languages like Node.js with Express. Familiarity with Linux system development Familiarity ...

concepts and experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline. Strong scripting skills (e.g., Bash, Python, or PowerShell) for automation and tooling. Familiarity with monitoring and log management tools (e.g., Prometheus, Grafana, ELK stack). Knowledge of networking concepts and security ...

working directly with data models, integrations, and operational outputs from these platforms. Technical requirements Proven experience as a Data Engineer in production environments. Strong Python and SQL skills. Hands-on Databricks experience (DLT, Delta Lake; Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience ...

with any of our existing stack, but any of the following are a bonus: Built modern full-stack applications with focus on backend (e.g. Python, Java, Go) Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (e.g. ...

This is not a research-only role — everything you build is designed to ship and scale. What We're Looking For Core Requirements Strong Python experience across data engineering and machine learning Experience deploying ML models into production environments Hands-on experience with LLMs/applied NLP Strong SQL skills ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

environments using core services such as EC2, S3, and VPC. Troubleshoot and resolve complex infrastructure issues independently. Automate cloud operations using Terraform, CloudFormation, Python, and Bash. Monitor performance and costs, implementing optimizations as needed. Collaborate with development teams to support application deployment and operations. Assess new cloud technologies to improve ...

detection, and ongoing optimisation Required Experience Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines ...

CCNP, JNCIA, or equivalent Experience with cloud networking (AWS, Azure, or GCP) Knowledge of SD-WAN, VoIP, or wireless networking Scripting or automation experience (Python, Bash, Ansible) Experience in high-availability or enterprise-scale environments Soft Skills Strong analytical and problem-solving skills Excellent communication and documentation abilities Ability ...

development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java/Go) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked in an IoT or Edge-oriented architectures Experience or knowledge ...

Data Factory, ADLS, Azure SQL Database, Synapse Analytics). Strong hands-on expertise in Databricks, Delta Lake, and cluster management. Proficiency in SQL and Python for pipeline development. Familiarity with Git/GitHub and CI/CD practices. Understanding of data modelling, data governance, and security principles. Desirable Skills Experience ...

have experience of building enterprise grade systems that are reliable, secure, maintainable and observable You have strong TypeScript and Node.js backend development skills - Python is also desirable for data related work You have experience of building event-driven systems and public APIs You have a strong appreciation of SaaS, Kubernetes ...

engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and/or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature engineering, and production ML workflows. Exposure ...

sharing knowledge across the team Essential experience 3+ years working as a Data Engineer or in a similar data-focused engineering role Strong Python and SQL skills Experience building and orchestrating data pipelines (Airflow or similar tools) Hands-on work with cloud platforms (AWS and/or Azure) Solid understanding ...

NoSQL databases. Best practices in building scalable mobile APIs (REST, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills Can speak, or learning to speak, more than one language Experience with real-time databases. Experience ...

cloud-native platform. Experience with the following will be highly desirable: AWS – Lambda, API Gateway, Cognito, S3 and OpenSearch Node.js/TypeScript and Python DynamoDB and PostgreSQL Serverless Architecture and microservices patterns. Infrastructure tools like Terraform, Docker, and CI/CD pipelines. Security and compliance practices, especially relevant in healthcare. ...

Cloud Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: Strong programming skills (ideally in Python) with experience in building scalable applications. Hands-on experience with cloud platforms (GCP preferred), including deployment and management of web applications. Familiarity with Infrastructure ...

tools such as Terraform or CloudFormation. Monitor system health, performance, and uptime using tools like Prometheus, Grafana, and ELK Stack. Write automation scripts in Python or Bash to streamline repetitive tasks. Collaborate with developers to help troubleshoot basic deployment and build issues. Assist in configuring cloud services (AWS/Azure … automation from scratch. Problem-solving attitude, strong curiosity, and attention to detail. Good written and verbal communication skills. Nice to Have (Bonus) Exposure to Python or Bash scripting. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of containerization (Docker). Understanding of CI/CD concepts or Infrastructure ...

skills. · Strong communication and interpersonal skills. · Certifications in relevant network technologies (e.g., CCNP, CCIE, JNCIP) preferred. Preferred Skills: · Experience with network automation and scripting (Python, Ansible, etc.). · Knowledge of cloud networking platforms (AWS, Azure, GCP). · Understanding of network virtualization technologies (SD-WAN, SDN). · Experience with network monitoring ...

compliance, and governance practices for ML systems Support troubleshooting and incident response for deployed ML systems Required Skills and Experience Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with ...

experience applying data science and advanced analytics, underpinned by a strong quantitative education or equivalent professional background in a STEM discipline Strong proficiency in Python and associated libraries for data analysis, machine learning, and model development In-depth understanding of machine learning techniques, with experience delivering ...