1 to 25 of 195 Python Jobs in the West Midlands

equivalent experience Five (5+) years of experience Extensive experience with automation tools such as Terraform, Chef, or Ansible Scripting experience with the following languages: Python, Ruby, Bash Experience with modern git repo technologies (GitHub, BitBucket, GitLab) Experience with CI/CD technologies (Jenkins, GitLab CI) Problem-solving skills and attitude More ❯

Private Cloud). Experience working with Virtualization technologies (Docker, Kubernetes). Experience working with micro-service, analytics and messaging architectures (Quantexa, Kafka, NodeJS/Python microservices). Experience working in CI/CD and DevOps environments. Experience with relational and non-relational databases. Recent experience programming in one or more More ❯

a Scrum Team and an Agile environment Strong software engineering background covering SOLID principles with Java experience. Any experience with other programming languages like Python, Kotlin or Golang is beneficial. Strong experience with Test-Driven Development (TDD) approach, writing unit and integration tests to ensure high-quality code, and maintaining More ❯

in secure environments. Experience in managing large-scale, real-time data pipelines and ensuring their performance and reliability. Strong scripting and programming skills in Python, Bash, or other relevant languages. Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code. Excellent communication More ❯

security frameworks including ISO27001:2022, Cyber Essentials+, NIST CSF, and NCSC CAF. Strong working knowledge of Linux (RHEL, Ubuntu) administration and scripting (Bash, PowerShell, Python). Working knowledge of RH OpenShift technologies. Experience supporting or deploying a number of proprietary databases including, but not limited to: IBM DB2, MS SQL More ❯

cross browser/device and usability testing Experience of using testing tools such as Selenium, Specflow, Cucumber, Gherkin Syntax, JMeter and K6 Experience in Python, PyTest and Playwright Containerisation experience – Docker or Kubernetes or similar Experience of Microservices design and architecture Restful API Services experience Working within agile methods and More ❯

supports career growth, flexible working, and continuous learning. What they're Looking For: Strong experience in Data Science, AI, and Machine Learning. Proficiency in Python, R, SQL for data processing and analysis. Understanding of data product lifecycle, from concept to deployment. Excellent problem-solving and communication skills - able to translate More ❯

to take constructive feedback and translate it into actionable improvements. Must-Have Technical Skills: CI/CD Tools: GitLab CI, Terraform, Ansible, Helm Charts, Python, PowerShell, REST APIs. Kubernetes: Experience building and managing Kubernetes clusters and application delivery. Applications: Familiarity with Apache NiFi, Elastic ECK, Artifactory. Secret Management: Expertise in More ❯

model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine More ❯

model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine More ❯

business domain. Strong experience in managing platforms autonomously, with a focus on risk assessment and decision-making. Proficiency in at least one programming language: Python, GoLang, C++, or Java. Strong Linux administration skills (Debian/Ubuntu). Solid grasp of LAN/WAN networking, firewalls, proxy servers, load balancers, and More ❯

e.g. MSCD). Desirable oPhD in Data Science or related field Knowledge, Skills, Training and Experience Essential o Proficiency in programming languages such as Python and R, experience with AI frameworks like TensorFlow and PyTorch, and knowledge of data management and cloud computing oStrong analytical and problem-solving skills to More ❯

qualification (e.g. MSCD). Desirable oPhD in Data Science or related field Knowledge, Skills, Training and Experience Essential Proficiency in programming languages such as Python and R, experience with AI frameworks like TensorFlow and PyTorch, and knowledge of data management and cloud computing oStrong analytical and problem-solving skills to More ❯

learning, deep learning, and data science methodologies. Strong understanding of big data processing and cloud computing platforms (AWS, Azure, or GCP). Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. Experience in deploying ML models to production using MLOps techniques. A background in manufacturing analytics, industrial AI More ❯

learning, deep learning, and data science methodologies. Strong understanding of big data processing and cloud computing platforms (AWS, Azure, or GCP). Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. Experience in deploying ML models to production using MLOps techniques. A background in manufacturing analytics, industrial AI More ❯

ELK Stack, or CloudWatch. ? Security & Compliance - Understanding of public sector security frameworks, including ISO 27001, NCSC guidelines, and CIS benchmarks. ? Scripting & Automation - Proficiency in Python, Bash, or PowerShell More ❯

strategies. Document analytical approaches and ensure reproducibility. Key Skills & Experience: Strong foundation in statistics, machine learning, and data science techniques. Proficiency in tools like Python, R, and SQL. Experience working with visualization tools (Tableau, Power BI, Looker, Qlik). Knowledge of audit, compliance, and risk management frameworks (highly desirable). More ❯

science, or pricing model development. AI Expertise: Proven experience in deploying AI models for dynamic pricing, forecasting, or similar applications. Tech Skills: Proficiency in Python, R, and AI frameworks like TensorFlow or PyTorch. Cloud Knowledge: Experience with AWS, Azure, or Google Cloud is a plus. Problem Solver: Strong analytical skills More ❯

AIOps, AI-powered security scanning). Deep knowledge of AWS services (EKS, EC2, Lambda, ECS, S3, IAM, etc.). Proficiency in scripting and automation (Python or Golang preferred). Experience with Kubernetes, Docker, and Terraform for infrastructure orchestration. Understanding of shift-left security, DevSecOps principles, and security-as-code. Strong More ❯

deep learning and/or transformers-based models for language and vision applications Experience in building AI workflows, agents and UIs Proficiency in using Python, PyTorch or Tensorflow, LangChain - desirable, open-source github contributions Good knowledge of cloud technologies - aws, azure, and compute infrastructure - GPU & HPC Good knowledge of software More ❯

concepts Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Comfortable with working with multiple programming languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open More ❯

storage, processing, and analysis. Skills & Experience: Proven experience as a Data Scientist or in a similar analytic role. Strong proficiency in programming languages like Python, R, or SQL. Experience with machine learning techniques, including supervised and unsupervised learning, and deep learning. Proficiency in data analysis libraries such as pandas, numpy More ❯

and flexibility to try roles outside of your current areas of expertise. What do you need to succeed? Strong experience of programming languages like Python, R, and SQL to ingest and analyse datasets. Knowledge and understanding of core Data Science, Machine Learning, and AI principles, considerations, and applications. Understanding of More ❯

storage, processing, and analysis. Skills & Experience: Proven experience as a Data Scientist or in a similar analytic role. Strong proficiency in programming languages like Python, R, or SQL. Experience with machine learning techniques, including supervised and unsupervised learning, and deep learning. Proficiency in data analysis libraries such as pandas, numpy More ❯

AI and know when to apply. Experience in Geospatial, GenAI and/or Agentic AI will be highly valued. You are comfortable coding in Python and SQL, and keen to explore other languages if needed. You have experience in deploying ML and AI solutions in production on cloud and working More ❯