176 to 200 of 6,235 Python Jobs in the UK

RAG) pipelines and integrating LLM APIs (e.g. GPT, Claude, Gemini) Developing and optimising APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating … re Looking For 1–3 years of experience in AI engineering, data engineering, or software development Demonstrable experience delivering AI, LLM, or data-driven applications Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP More ❯

scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google … RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like More ❯

scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google … RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like More ❯

automation tools including GitHub Actions, Terraform, and Ansible Experience with business process automation (RPA) tools like Appian Workflow orchestration experience (Airflow, Prefect) Ability to build custom automation frameworks using Python or similar languages Full-Stack Development Solid software engineering background with proficiency in Python, JavaScript/TypeScript, Java, or Go Experience with modern frameworks (React, Node.js, Django, FastAPI) Knowledge of More ❯

Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity. Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency. Cloud Infrastructure … Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise their integration into cloud-native infrastructure. Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar. Experience with automation tools like Unusable for automating infrastructure tasks. Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues More ❯

Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity. Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency. Cloud Infrastructure … Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise their integration into cloud-native infrastructure. Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar. Experience with automation tools like Unusable for automating infrastructure tasks. Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues More ❯

Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity. Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency. Cloud Infrastructure … Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise their integration into cloud-native infrastructure. Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar. Experience with automation tools like Unusable for automating infrastructure tasks. Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues More ❯

R&D, and model development practices. Collaborate with DevOps and Data Engineers to productionise and deploy machine-learning models into our AWS cloud infrastructure. Write production-grade code in Python, demonstrating CI/CD, Databricks and ensuring appropriate test coverage. Qualifications What we’d love you to bring: You are a self-starter with experience in delivering research + models … on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience More ❯

robust, scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and … identify practical steps to take. Technical Skills Required Significant experience designing and building data solutions on a cloud based, big data distributed system. Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD), and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of More ❯

by exploring new technologies such as vector databases to enable search and AI use cases. Design, develop, and maintain highly performant, scalable, and secure backend APIs using appropriate technologies (Python, NodeJS). Implement and manage data storage solutions including data lakes, data warehouses, and databases underpinning platform tooling (e.g., object storage, Oracle Autonomous Database, PostgreSQL). Collaborate with backend engineers … experience as a full stack engineer. Proficiency in HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js. Experience with backend languages and frameworks such as Python, NodeJS, Next.js, Django, or Spring Boot. Expertise in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX More ❯

CI, Azure DevOps, etc.). Experience with container technologies (Docker, Kubernetes). Hands-on experience with IaC (Terraform, Ansible, or CloudFormation). Proficient in scripting languages such as Bash, Python, or PowerShell. Familiarity with monitoring tools (Prometheus, Grafana, ELK, CloudWatch, etc.). Good understanding of networking, security, and version control (Git). Additional Information: Duration: 6 months (potential for extension More ❯

CD for ML workflows). Troubleshoot complex infrastructure, deployment, and ML model serving issues. Core Technical & AI/ML Skills: Deep experience with IaC tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and AI-enhanced automation. Build and maintain CI/CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD). Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker). Logging, monitoring More ❯

role, you must have Experience: 3 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience More ❯

Hyper-V), and automation (e.g., Terraform, Ansible). Strong leadership and project management skills with the ability to manage complex projects and teams. Proficiency in scripting languages (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is a plus. Experience with security frameworks and maintaining compliance (ISO 27001, CE+). Excellent problem-solving, communication, and documentation skills. Qualifications: Bachelors More ❯

projects. Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Basic understanding of one or more programming languages such as Python, Java, C#, or JavaScript. Familiarity with web technologies (HTML, CSS, JavaScript frameworks) or backend systems (databases, APIs). Knowledge of version control systems (e.g., Git). Strong problem-solving and More ❯

/CD pipelines. Desired Experience with Agile/SAFe and Lean delivery. Knowledge of automation and observability tools across the SDLC. OS: Windows Server, Amazon Linux, RHEL, Ubuntu. Scripting: Python, Go, PowerShell, Bash, Groovy. Programming: Java, C#, JavaScript, Ruby, C++. Tooling: GitLab, Jenkins, Nexus. Experience with Docker, Kubernetes, and pipelines as code. More ❯

anomalies Lead incident response drills and postmortems Champion DevSecOps culture across engineering and product teams Requirements: 3+ years experience in DevOps, security engineering, or cloud infrastructure Strong scripting skills (Python, Bash, or PowerShell) Familiarity with tools like Snyk, SonarQube, OWASP ZAP, or Aqua Experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Helm) Understanding of security frameworks (ISO 27001, NIST More ❯

with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. Strong scripting and programming skills (Python, Bash, C/C++ exposure a plus). Knowledge of monitoring, logging, and performance testing for GPU/ML workloads. Excellent collaboration skills — able to work with research, engineering, and More ❯

GitLab CI/CD) Proven experience with major cloud platforms (AWS, Azure, or GCP) Solid understanding of containerisation and orchestration (Docker, Kubernetes) Proficiency in scripting languages such as Bash, Python, or PowerShell Excellent problem-solving and collaboration skills Experience in leading technical teams or mentoring other engineers Desirable: Relevant certifications or equivalent experience Salary: £70,000 to £90,000 DOE More ❯

You’ll Be Doing Designing, developing, and maintaining Proof of Concept and Production systems. Writing clean, maintainable code in one or more languages such as JavaScript, Java, .NET, or Python . Using version control systems (e.g. Git, Mercurial, Perforce) to manage and collaborate on codebases. Implementing CI/CD pipelines with tools like Jenkins, Bamboo, TeamCity, or Bitbucket to automate More ❯

trust globally. Required Experience Proven experience in a modern DevOps or Platform Engineering role. Strong understanding of contemporary CI/CD pipeline methodologies. Proficiency in scripting languages such as Python, Bash, or Perl. Hands-on experience deploying and managing cloud infrastructure (e.g., Azure, AWS, GCP). Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes, Helm). Solid experience with More ❯

proficiency with containers and container orchestration tools such as Docker and Kubernetes Extensive background in Configuration Management EKS and Automation Proficient programming skills in at least one language, preferably Python or Go Expert-level experience with Infrastructure as Code tooling such as Ansible, CloudFormation or Terraform Extensive experience of deploying cloud platforms at scale using AWS Organisations/Control Tower More ❯

proficiency with containers and container orchestration tools such as Docker and Kubernetes Extensive background in Configuration Management EKS and Automation Proficient programming skills in at least one language, preferably Python or Go Expert-level experience with Infrastructure as Code tooling such as Ansible, CloudFormation or Terraform Extensive experience of deploying cloud platforms at scale using AWS Organisations/Control Tower More ❯

/SCM) . Strong knowledge of DevOps, CI/CD, and Infrastructure as Code (IaC) using tools like Terraform, Ansible , etc. Proficiency in Linux/Unix environments , scripting ( Bash, Python ), and version control ( Git ). Demonstrable experience managing Fusion quarterly updates, patches, and related integrations. Strong troubleshooting, analytical, and cross-functional communication skills. Desirable Skills Oracle Cloud Infrastructure (OCI) Certified More ❯

databases, KeyVault, Data transit and data at rest). Strong understanding of microservice and API-driven/event driven architectures (Java/Spring Boot preferred). Working knowledge of Python, TypeScript, Java, Angular for integration or Front End design Familiarity with containerisation (Docker, Kubernetes) and infrastructure-as-code (Terraform). Demonstrable background in system integration, Authentication and authorisation, and event More ❯