1 to 25 of 254 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 ...

DevOps-aligned roles, or technical front-office support within financial services Strong practical experience working with Linux systems Solid scripting/automation ability using Python, with Bash or PowerShell also beneficial Clear, structured communication skills - able to support demanding users and work collaboratively with engineers Familiarity with AWS or other ...

with maintaining code quality. Strong communication skills and ability to collaborate across teams. Computer Science/Mathematics degrees from good universities Nice to haves; Python experience. GCP experience. Experience with AI/ML-powered applications. Exposure to real-time data processing. Knowledge of CI/CD pipelines and automated testing. ...

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 ...

Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization ...

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 ...

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 ...

Hands-on experience with monitoring, tracing, and logging. Strong understanding of networking principles, routing, and connectivity in cloud-native architectures. Programming or scripting skills (Python preferred). Familiarity with databases (MySQL/PostgreSQL, MongoDB, Redis) and Kafka or similar event systems. A problem-solving mindset, comfortable taking ownership and learning ...

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 ...

with our Data Scientists, you will also implement novel frontend components to visualise data and support customer insight generation and decision-making. Skills Outstanding Python, FastAPI, asyncio and Postman/Insomnia Strong Git, Docker, Kafka, Kubernetes and Azure/AWS/GCloud Good understanding of Playwright, Selenium/Nodriver, Beautifulsoup ...

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 ...

frameworks like React, Angular, Vue, Advanced JavaScript, HTML, CSS, SASS, LESS, Webpack Well versed with technologies and frameworks like JAVA/C#, Node, Python, Spring, AWS technologies like Lambda, ECS, S3, EMR, DynamoDB, Cognito, IOT, Step Functions, EC2, API Gateways Clear understanding of developing UI as well as backend architectures ...

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. ...

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 ...

time insights into user flows Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: Built modern full-stack applications (Python/Java/Go + React) Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication ...

edge data and cloud technologies. You will be utilising and playing with tools across the entire data ecosystem. Essential tech skills include proficiency in Python, Spark, and Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery. Familiarity with data transformation and infrastructure as code tools like ...

Data Engineer, Analytics Engineer or Technical Success/Customer Engineering role within a Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/ ...