51 to 75 of 4,064 Python Jobs in the UK

scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot

Workflows: Architect, build, test, and monitor AWS-based workflows to solve critical business problems Microservices and APIs: Develop microservices for ML-driven applications using Python or Java, ensuring scalability and resilience. Service Availability: Guarantee high levels of service availability through participation in an on-call rotation, following best practices

setting up infrastructure and deploying apps securely in cloud environments (Amazon, GCP, Azure) using Kubernetes and Docker Experience developing commercial applications using Java, Javascript, Python or Scala. Exposure to developing smart contract distributed apps using Functional programming or the Daml SDK will be a big plus. Experience using and administering

design, build, and oversee ETL/ELT pipelines and data services using Chainsys, Azure Data Factory, Airflow, Databricks, and Delta Lake. Advanced proficiency in Python and the Spark ecosystem (PySpark, Spark SQL), with demonstrated capability to set and enforce best practices. Skilled in object-oriented and functional programming, asynchronous processing

Senior Backend Python Developer (Cloud & Microservices) Salary: Up to £90,000 Location: Hybrid, London HQ Reporting to: Head of AI and Data Science Overview Our client is hiring a Senior Backend Python Developer to build and maintain scalable backend systems supporting AI and automation projects. The successful candidate will work … helping integrate AI systems and backend infrastructure within the organisation’s technology ecosystem. Key Responsibilities Design and develop high-quality, efficient backend systems using Python . Build and maintain microservices and RESTful APIs . Integrate backend systems with AI models and other internal/external services. Work within

Software Engineers/Python Developers Wanted DV/SC Cleared | Python + TypeScript + JavaScript | AI-Focused | London HQ | Office-Hybrid Areti Group is exclusively hiring for one of the fastest-growing AI-driven tech scale-ups in London. They've grown 290% this year alone, just secured a major … investment, and are scaling fast with plans to grow to 100+ employees by year-end. Now, they’re hiring x15 Software Engineers (Python-focused) to help power the next phase of product development, experimentation, and platform scale. 💥 A Company That’s Not Just Growing – It’s Exploding This is your

multimillion-pound tech business. They're expanding rapidly and looking for Senior AI/ML Software Engineers (Backend or Full Stack) with strong Python skills and a genuine passion for AI/ML, scalable systems, and modern cloud architecture. You don't need to be an AI or LLM expert … learn directly from some of the best in the industry. What You'll Be Doing * Design and deploy scalable agentic applications using Python (and ideally JavaScript/TypeScript) * Build and maintain microservices, APIs, and CI/CD pipelines * Work across cloud platforms such as AWS, GCP, or Azure * Collaborate with

Python Azure AI Engineer 6 Months Telford 2 days a week £519 As an AI Engineer within the programme, you will be part of a multidisciplinary team driving digital transformation for one of the UK's most critical government departments. This role focuses on designing, developing, and deploying AI-driven … accuracy, scalability, and compliance. Knowledge Sharing: Mentor engineers and contribute to AI capability building within the clients MU. Essential Skills Strong proficiency in Python, Azure AI Services, and Machine Learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI and LLM-based solutions for enterprise use cases. Familiarity with DevOps

Python Azure AI Engineer 6 Months Telford 2 days a week 519 As an AI Engineer within the programme, you will be part of a multidisciplinary team driving digital transformation for one of the UK's most critical government departments. This role focuses on designing, developing, and deploying AI-driven … accuracy, scalability, and compliance. Knowledge Sharing: Mentor engineers and contribute to AI capability building within the clients MU. Essential Skills Strong proficiency in Python, Azure AI Services, and Machine Learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI and LLM-based solutions for enterprise use cases. Familiarity with DevOps

Software Engineer - React Typescript (Next.js Framework) & Python Location: London – hybrid 50% Contract: Permanent Hours: Full time – 35 hours Purpose Support the DB Transformation engineering team in designing, developing, and delivering enterprise-grade software built on a Python (FastAPI), React (Next.js), and Azure Kubernetes Service (AKS) stack. This role plays … Contribute to process and tooling improvements that enhance team velocity and quality. What we’re looking for Expert knowledge of React Typescript (Next.js Framework), Python, and SQL Server for building robust and scalable backend services. Strong experience with React (including Hooks, Redux, or Context API) to build dynamic and responsive

closely with business stakeholders Required Qualifications, Capabilities, And Skills Formal training or certification in cloud concepts and proficient applied experience Software development experience using Python Programming Experience with one or more database technologies, e.g. Oracle, SQL Server, PostgreSQL Experience in building REST APIs, AWS Lambda. Experience in test-driven development

months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas implemented fast … tools What We’re Looking For Strong academic background - degree from a top-ranked university Strong coding ability in at least one of: Python, C++, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal

helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows … manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience.

team in Glasgow. You will play a pivotal role in designing, developing, and integrating AI-driven solutions within enterprise environments. Leveraging your expertise in Python, data science, and Microsoft Azure, you will help shape the next generation of intelligent applications. The ideal candidate is passionate about innovation, thrives in collaborative … continuous learning and career growth opportunities. Competitive compensation and benefits package. AI & Software Development Design, develop, and maintain AI-powered applications using .NET, C#, Python, and Azure cloud technologies. Build scalable, maintainable, and high-performance AI solutions for enterprise integration. AI Solution Integration Integrate AI services and frameworks to enhance

like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply MLOps/LLMOps practices with MLflow, Weights & Biases, and Kubeflow. ?? Youll Bring Strong Python skills and experience with LangChain, Transformers, Hugging Face. Solid grasp of LLM behavior, prompt optimization, and data engineering. Familiarity with vector databases (FAISS, Pinecone, ChromaDB … Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch

Responsibilities Design, develop, and maintain automation frameworks for web, API, and backend testing. Author and execute automation scripts using languages such as Java, Python, C#, or JavaScript . Build and maintain API automation using tools like Postman, RestAssured, or SoapUI . Perform database testing , including validation of ledger entries, transactions … quality engineering best practices. Required Skills & Qualifications 3–8 years of experience in QA Automation or Software Testing. Strong programming skills in Java, Python, C#, or JavaScript . Hands-on experience with API testing and automation frameworks/tools. Solid understanding of database queries , data validation, and transaction-based systems.

modern tooling, infrastructure as code, and container platforms. Shape architecture decisions and bring fresh ideas to a team that values innovation. Essential Skills Coding: Python, SQL, Node & Node-SQL Cloud & DevOps: Containers (Docker/K8s), CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation, etc.) Automation mindset: comfortable building tools … nature of the business. Any questions, feel free to drop me an email at KEY SKILLS: DEVOPS ENGINEER, SOFTWARE, DEVELOPMENT, GCP, AWS, AZURE, PYTHON, SQL, NODE SQL, CLOUD, QUANT

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

sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau … workflows, Jira, Confluence, automated testing suites Must-have experience 🌳 Proven delivery of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government

experience across VMware, Microsoft, and Linux ecosystems Proven ability to lead technical troubleshooting and platform optimisation Strong scripting and automation skills (PowerShell, Bash, Python) Experience in secure environments and eligibility for UK government DV clearance A proactive mindset with a passion for mentoring and growing technical teams Required Skills & Technologies … Microsoft Azure, SCCM, Intune SQL Server, AD, ADFS Windows Server, Hyper-V Azure AD, Debugging Tools SLA & escalation management Linux RHEL, CentOS, Ubuntu Bash, Python, Ansible Docker, Kubernetes Systemd, YUM/APT CI/CD familiarity Desirable Skills & Growth Potential We know great engineers arent built from checkliststhey grow through

based AI systems and generative code workflows for financial applications. Oversee design reviews and code quality for AI-assisted development, maintaining best practices in Python and other languages. Establish robust testing and validation frameworks for AI-generated code, including prompt engineering and compliance checks. Mentor engineering teams and set standards … Data Science, Finance, or related discipline. Proven experience in financial services or fintech -ideally within investment banking, trading, or insurance. Strong programming skills in Python, plus experience with languages such as Java, C++, or Go. Familiarity with modern UI frameworks (TypeScript, Node.js). Hands-on experience with AI/

based AI systems and generative code workflows for financial applications. Oversee design reviews and code quality for AI-assisted development, maintaining best practices in Python and other languages. Establish robust testing and validation frameworks for AI-generated code, including prompt engineering and compliance checks. Mentor engineering teams and set standards … Data Science, Finance, or related discipline. Proven experience in financial services or fintech -ideally within investment banking, trading, or insurance. Strong programming skills in Python, plus experience with languages such as Java, C++, or Go. Familiarity with modern UI frameworks (TypeScript, Node.js). Hands-on experience with AI/

Infrastructure as Code tools (Terraform, Ansible, etc.). 2. hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD

relevant computational discipline Several years professional experience involving backend development. Track record of delivered projects involving backend development Proficient in Python programming. Strong experience with Python backend frameworks such as Django or FastAPI. Strong experience with SQL databases (e.g., Oracle, PostgreSQL, MySQL). Experience with NoSQL databases such as Elasticsearch

best-practice configurations. Contribute to the ongoing design and development of the GCP landing zone to ensure evergreen architecture, automation, and resilience. Use Python to build automation scripts, tooling, and integrations that streamline platform management and improve operational efficiency. Monitor and improve GCP resource utilisation, cost optimisation, and operational performance. … Essentials: Proven experience managing and operating Google Cloud Platform environments at scale. Hands-on experience with Terraform and Infrastructure as Code practices. Proficiency in Python for automation, scripting, and integrations. Strong understanding of GCP architecture, networking, IAM, and security fundamentals. Experience working with Cloud Operations, Monitoring, and Cost Management tools.