1 to 25 of 388 Python Jobs in Berkshire

building responsive front-end experiences Strong back-end capabilities with Node.js and Express, plus experience in at least one of C#, Java, or Python for diverse system requirements Demonstrated experience designing scalable RESTful APIs, microservices architectures, and both SQL and NoSQL database solutions Solid understanding of cyber security principles including ...

Cloud DevOps, Cloud Architecture or Platform Engineering. Strong understanding of AWS across compute, networking, identity and databases. Solid experience with Terraform and CloudFormation. Strong Python skills. Confident with SQL, MySQL, Postgres and S3 based storage. Comfortable with Linux and shell scripting. Experience with Git, GitHub and CI or CD pipelines. ...

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 ...

malware analysis, and firewall configurations Ability to communicate complex technical solutions to a wide range of audiences, both technical and non-technical Skilled in Python, JSON, YAML, Bash, or other relevant scripting languages 3–5 years of experience in Technical Support, or similar hands-on roles Bachelor's/Master ...

standards. Required Skills & Qualifications Education: Bachelor's or Master's in Computer Science, Data Science, Mathematics, or related field. Programming: Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn), and experience with SQL. ML Expertise: Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques. Cloud & MLOps: Experience ...

related quantitative field. • Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. • Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). • Demonstrated experience with Azure Machine Learning, including MLOps concepts, model ...

learning, deep learning (CNNs, RNNs, transformers), and statistical modeling. Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness. Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning libraries (PyTorch or TensorFlow). Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation ...

. DevOps & Automation: Strong knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform). Programming: Advanced skills in Python and familiarity with other languages (e.g., R, Java). Academic Background: Degree in Computer Science, Data Science, or related discipline (Master's or PhD preferred). ...

high-performing environments Drive innovation, mentor others, and implement best practices across cloud and DevOps Essential: Skills in infrastructure-as-code (Terraform), scripting (PowerShell, Python, Bash), and CI/CD Strong stakeholder communication and a proactive, collaborative mindset Alignment to Ntegra's values: Open & Honest, Collaborative, Can Do Attitude, Leads ...

monitoring platforms (eg, Dynatrace, AppDynamics, Splunk, Datadog). - Solid understanding of application architectures (microservices, cloud-native, APIs). - Hands-on experience with Scripting languages (Python, PowerShell, Bash) for automation. - Knowledge of cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). - Familiarity with ITIL processes (Incident, Problem, Change Management ...

Read Build Circle success stories. A non-exclusive list of some of the tooling and technology we are currently using: * .NET Core 3.1, Node.js, Python, Java/Kotlin * Kubernetes, Terraform, infrastructure-as-code * Typescript, React, Node, GraphQL, Apollo * AWS: Lambda, ECS, CloudFront, API Gateway, DynamoDB, Aurora, S3, SQS, SNS, Kinesis ...

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 ...

recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements: 5+ years of experience with Python (essential) and other technologies including AWS, Node.js, Typescript, SQL, CI/CD, DevOps (Terraform, Github Actions, Docker). Solid track record of leadership level experience ...

with best practices. Experience across the software lifecycle (deployment, monitoring, maintenance). Clear communication skills and a proactive, problem-solving mindset. Technical Skills (Required) Python and TypeScript Docker Linux environments and scripting Modern engineering practices (CI/CD, automated testing, monitoring) Nice to Have Experience with AWS/GCP/ ...

with best practices. Experience across the software lifecycle (deployment, monitoring, maintenance). Clear communication skills and a proactive, problem-solving mindset. Technical Skills (Required) Python and TypeScript Docker Linux environments and scripting Modern engineering practices (CI/CD, automated testing, monitoring) Nice to Have Experience with AWS/GCP/ ...

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 ...

project delivery timelines. Stay current with emerging technologies, especially in AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models ...

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 ...

Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Mesh-AI Fast-growing start ...

such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible Strong in one or two Scripting and programming languages (such as Python/Perl, Groovy, Shell Scripting, etc.) Knowledge of SCM branch strategies using Git Experience with unit testing and automated testing tools (such as ReadyApi, Cucumber ...

such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible Strong in one or two Scripting and programming languages (such as Python/Perl, Groovy, Shell Scripting, etc.) Knowledge of SCM branch strategies using Git Experience with unit testing and automated testing tools (such as ReadyApi, Cucumber ...

field. •Proven expertise in data mining, statistical modelling, and machine learning techniques. •Advanced experience in pattern recognition, predictive modelling, and feature engineering. •Proficiency in Python and SQL, and a solid grasp of software engineering best practices. •Strong understanding of data structures, model evaluation, and experiment design. •Experience with data visualisation ...

tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals (Python preferred; others welcome). Key Skills & Experience Ideally 5+ years of professional experience, including 3+ years in AI and data science with evidence of practical ...

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 ...