151 to 175 of 1,460 Python Jobs in the City of London

teams in best practices for MLOps/LLMOps and responsible AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex More ❯

data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity More ❯

teams in best practices for MLOps/LLMOps and responsible AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex More ❯

data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity More ❯

design and implementation of modern web applications, APIs, and digital platforms that are reliable, secure, and built to scale. Hands-On Architecture: Set the technical direction for projects using Python (Flask or Django) and React.js, ensuring high standards of performance and maintainability. Team Development: Coach and support engineers at all experience levels, encouraging professional growth, technical excellence, and collaborative delivery. More ❯

large-scale datasets. Collaborate with external suppliers, partners, and stakeholders to align delivery. What we’re looking for: At least 5 years of experience delivering full-stack software development (Python backend, JavaScript frontend). Strong background in backend infrastructure – SQL/NoSQL, event stores, cloud storage. Proven experience in architecting secure, scalable systems in AWS, Azure, or GCP. Experience with More ❯

design and implementation of modern web applications, APIs, and digital platforms that are reliable, secure, and built to scale. Hands-On Architecture: Set the technical direction for projects using Python (Flask or Django) and React.js, ensuring high standards of performance and maintainability. Team Development: Coach and support engineers at all experience levels, encouraging professional growth, technical excellence, and collaborative delivery. More ❯

large-scale datasets. Collaborate with external suppliers, partners, and stakeholders to align delivery. What we’re looking for: At least 5 years of experience delivering full-stack software development (Python backend, JavaScript frontend). Strong background in backend infrastructure – SQL/NoSQL, event stores, cloud storage. Proven experience in architecting secure, scalable systems in AWS, Azure, or GCP. Experience with More ❯

ideas into executable engineering tasks. Qualifications & Requirements 7+ years of professional experience in software engineering with strong design principles and system architecture knowledge. Proficiency in programming languages such as Python, Java, Go, or similar. Experience working with Generative AI and ML infrastructure, including: Fine-tuning transformer models Managing embeddings Building RAG pipelines Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate More ❯

ideas into executable engineering tasks. Qualifications & Requirements 7+ years of professional experience in software engineering with strong design principles and system architecture knowledge. Proficiency in programming languages such as Python, Java, Go, or similar. Experience working with Generative AI and ML infrastructure, including: Fine-tuning transformer models Managing embeddings Building RAG pipelines Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate More ❯

Azure Administrator Associate HashiCorp Certified: Terraform Associate FinOps Certified Practitioner 5+ years in infrastructure and cloud engineering, including 3+ years working with Azure. Strong knowledge of IaC (Terraform, PowerShell, Python), CI/CD (Azure DevOps, GitHub Actions), and cloud security best practices. Proven experience embedding FinOps and cloud cost-management strategies. Background in regulated industries such as finance or government. More ❯

Azure Administrator Associate HashiCorp Certified: Terraform Associate FinOps Certified Practitioner 5+ years in infrastructure and cloud engineering, including 3+ years working with Azure. Strong knowledge of IaC (Terraform, PowerShell, Python), CI/CD (Azure DevOps, GitHub Actions), and cloud security best practices. Proven experience embedding FinOps and cloud cost-management strategies. Background in regulated industries such as finance or government. More ❯

Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI libraries and frameworks. Expert in implementing Agentic AI solutions , MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and More ❯

Azure Administrator Associate HashiCorp Certified: Terraform Associate FinOps Certified Practitioner 5+ years in infrastructure and cloud engineering, including 3+ years working with Azure. Strong knowledge of IaC (Terraform, PowerShell, Python), CI/CD (Azure DevOps, GitHub Actions), and cloud security best practices. Proven experience embedding FinOps and cloud cost-management strategies. Background in regulated industries such as finance or government. More ❯

Skills Candidates who stand out will also bring: Proficiency in Infrastructure as Code (IaC) tools such as Terraform, and experience with CI/CD pipelines and scripting languages (Bash, Python, Perl). A solid grasp of cloud security best practices and tools, including IAM, firewalls, and encryption. Experience managing hybrid and multi-cloud networking (TCP/IP, subnets, load balancing More ❯

Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI libraries and frameworks. Expert in implementing Agentic AI solutions , MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and More ❯

term AI adoption Partner with product and business teams to translate commercial goals into technical solutions Key Skills & Experience 8+ years of software engineering experience with strong proficiency in Python or TypeScript. 3+ years in a leadership or technical management role. Proven experience developing and deploying AI/ML solutions in financial or data-intensive environments. Strong knowledge of Azure More ❯

Skills Candidates who stand out will also bring: Proficiency in Infrastructure as Code (IaC) tools such as Terraform, and experience with CI/CD pipelines and scripting languages (Bash, Python, Perl). A solid grasp of cloud security best practices and tools, including IAM, firewalls, and encryption. Experience managing hybrid and multi-cloud networking (TCP/IP, subnets, load balancing More ❯

Provide hands-on technical leadership and mentorship within a distributed team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration More ❯

Provide hands-on technical leadership and mentorship within a distributed team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration More ❯

Experience working in consultancy or client-facing roles is highly desirable. Familiarity with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP More ❯

Experience working in consultancy or client-facing roles is highly desirable. Familiarity with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP More ❯

projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). More ❯

with hands-on expertise in model development, optimisation, and deployment. Deep understanding of ML Engineering and MLOps principles (cloud-based pipelines, CI/CD, monitoring, reproducibility). Experience with Python, SQL & Azure (AWS & GCP is also fine). Exposure to GenAI or LLM tools and frameworks is a strong advantage. Strategic thinker with the confidence to lead technically and shape More ❯

with hands-on expertise in model development, optimisation, and deployment. Deep understanding of ML Engineering and MLOps principles (cloud-based pipelines, CI/CD, monitoring, reproducibility). Experience with Python, SQL & Azure (AWS & GCP is also fine). Exposure to GenAI or LLM tools and frameworks is a strong advantage. Strategic thinker with the confidence to lead technically and shape More ❯