101 to 125 of 5,159 Python Jobs in the UK

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. More ❯

of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. More ❯

robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and … deployment of software solutions and holistic understanding of the software development process, from design through to deployment, and associated project management and risks Proven experience of code reviews in Python and SQL through Git, and applying other best practices to technical projects Proven experience of developing data engineering pipelines, backend services and APIs Proven experience of using SQL and databases … the software development process, from design through to deployment, and associated project management and risks Advanced Docker with deep understanding of Docker storage and Volumes, linux permissions Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion Excellent communication skills through written reports and presentations Ability to review others' code Ability to effectively line manage and mentor More ❯

pressure. Experience with: Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (PowerShell, Bash, Python, Ansible, Terraform) Cyber security controls and accreditation processes Systems engineering lifecycle from design to deployment Desirable Skills Experience with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) Integration More ❯

stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone More ❯

stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone More ❯

or Microsoft Azure cloud platforms. Experience with Infrastructure as Code tools such as Terraform , Ansible , Puppet , or Chef . Proficiency in one or more programming or scripting languages (e.g., Python , Go , React ). Knowledge of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers More ❯

data integration.* Full Stack Development: Deliver responsive, high-performance web applications using React (essential), plus Angular or Vue.js.* Back-End Expertise: Develop server-side logic with Java and Node.js; Python or Ruby experience is a bonus.* Cloud & Containers: Deploy microservices on Kubernetes and Red Hat OpenShift, leveraging Docker for containerization.* CI/CD Automation: Implement pipelines using GitHub and ArgoCD. More ❯

AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/ More ❯

of cloud platforms (AWS, Azure, GCP), DevOps, and microservices. Hands-on experience with observability tools, APM, log analytics, and infrastructure monitoring. Proficiency in scripting or programming languages (e.g., Java, Python, JavaScript). Certifications in Dynatrace, AWS, Azure, or GCP. Familiarity with OpenTelemetry, FluentBit, Cribl, or similar data pipeline tools.Ability to translate technical capabilities into business value, aligning observability solutions with More ❯

other IaC tools • Docker/Kubernetes (ECS, EKS, AKS, etc.) • CI/CD tools (GitHub Actions, Jenkins, GitLab CI) • Knowledge of Linux administration and networking fundamentals • Familiarity with scripting (Python, Bash, or PowerShell) Soft Skills • Strong analytical and troubleshooting ability • Clear communication across technical and non-technical audiences • Proactive, collaborative mindset - "you build it, you run it" philosophy • Ability to More ❯