601 to 625 of 4,950 Python Jobs in London

What we’re looking for Strong software engineering skills — building and integrating APIs and services and taking them from prototype to production. Proficiency in Python & SQL, with a strong understanding of data and software development principles in either a backend or full stack environment. Someone who is AI proficient ...

learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems in production environments.· Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers).· Hands-on experience with modern data platforms and AI tooling such ...

security, including OAuth 2.0, JWT, mTLS and secure development practices. Experience identifying vulnerabilities, assessing technical risk and driving remediation. Comfortable writing automation using Python, Go, Bash or similar to operationalise security controls. Practical experience working with SOC 2 Type II and/or ISO 27001, including identifying gaps and strengthening ...

/CD, modern SDLC, TDD and code review. Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Communication: Clear written and verbal communication with technical peers and stakeholders. Measurement: Instrumenting solutions to capture usage ...

degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.Strong hands-on programming experience in Python or Java.Good working knowledge of SQL, including troubleshooting, optimisation and data analysis.Ability to learn new tools, internal platforms and delivery workflows quickly.Familiarity with software engineering ...

GCP.Delivery: CI/CD, modern SDLC, TDD and code review.Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles.Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.Communication: Clear written and verbal communication with technical peers and stakeholders.Measurement: Instrumenting solutions to capture usage, productivity ...

knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery methodologies. Expertise in data architecture and design (conceptual, logical ...

knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery methodologies. Expertise in data architecture and design (conceptual, logical ...

MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI.Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques.Strong skills in Python, Bash, or Go; deep knowledge of Linux kernel tuning and performance monitoring.Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining ...

related domains. 5+ years of professional experience in AI engineering, data science, software engineering, data engineering, or a closely related role. Strong proficiency in Python and SQL. Proven experience building and operating RAG pipelines and agentic systems in production. Hands‐on expertise in search and retrieval, including BM25, vector search ...

such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful or GraphQL APIs Microservices ...

design and implementation, data orchestration and workflow automation, batch and streaming processing, and data modeling for analytical and operational workloads. Proficiency in SQL and Python sufficient to write, debug, and review production-quality code independently. Working fluency in lakehouse and data platform architecture — able to reason through platform tradeoffs ...

ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries ( e.g. Pytorch, Tensorflow ) from early conceptualisation to full deployment in scalable production environments Ability to design, deploy and maintain ...

data science· Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Strong proficiency in Python, R, SQL, or similar tools.· Experience with Databricks, Azure, or other cloud/data platforms is a plus.· Solid understanding of econometrics, regression analysis, Bayesian ...

applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agentsProven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environmentsAbility to design, deploy and maintain ...

BigQuery, Redshift, Synapse, Snowflake or Databricks. Familiarity with Machine Learning and Generative AI technologies. Active interest in agentic development approaches.Familiarity with SQL and Python or Java. Familiarity with Infrastructure as Code for cloud platform delivery.Cloud platform architecture certification is desirable, with a data or AI specialism beneficial.Soft Skills Strong stakeholder ...

have 4+ years of experience in software engineering and/or technology consulting Experience in at least two modern programming languages such as TypeScript, Python, Java or Go. Proven ability to architect, build and deploy complex agentic systems, including agent‐to‐agent communication Ability to build auditable agentic systems that ...

that drive real business decisionsDeep expertise in predictive modelling, forecasting and/or optimisation - with strong command of the underlying statistical principlesStrong proficiency in Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, xgboost, shap)Advanced working knowledge of SQLHands-on experience with data pipelines and ML infrastructureExperience working ...

deploy it live.Provide guidance and mentoring to other engineers, supporting the design, implementation and troubleshooting when required.Advanced Scripting and Automation: Develop scripts in Python, Bash, and Perl to automate systemadministration tasks, infrastructure deployment, and network security enhancements.Infrastructure Management: Oversee the planning, deployment, and maintenance of network infrastructure using tools such ...

/CD, modern SDLC, TDD and code review. Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Communication: Clear written and verbal communication with technical peers and stakeholders. Measurement: Instrumenting solutions to capture usage ...

performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing ...

monitor system health, analyse logs, and troubleshoot production issues. Programming ,Scripting and Infrastructure as Code: Ability to write and maintain scripts in languages like Python or Typescript for automation and Terraform for IaC Networking: Understanding of load balancers, DNS setups, and basic network security practices. Database Management: Experience in managing ...

unstructured data at scale.* Proven ability to translate business problems into measurable analytical outcomes.* Experience taking models from development into production environments.### Technical Skills* Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn).* Machine learning techniques including classification, regression, clustering and anomaly detection.* Experience with Generative AI, LLMs ...

including Azure OpenAI, AI Search and AI Studio. Well-versed in modern machine learning approaches, MLOps practices and cloud-based AI architectures. Proficient in Python, common machine learning frameworks, distributed processing concepts and core MLOps practices. Experience designing APIs, building microservices and implementing end-to-end ML pipelines on cloud ...

within regulated or secure environments; candidates must be eligible and willing to obtain or hold security clearance for relevant engagements.BUSINESS & AI PROFICIENCYStrong proficiency in Python or similar programming languages used for AI and data engineering, with hands-on experience building production-grade solutions. Experience with machine learning frameworks and tools ...