1,001 to 1,025 of 20,212 Python Jobs in England

world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research from concept to business impact. Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases. Familiarity with Jupyter Notebooks and Git version control. Expertise in working with large, sophisticated datasets and extracting actionable More ❯

of disciplines, which allows us to come up with cutting edge, high quality solutions. What background we are looking for: Programming in one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Utilising CI/CD tools, such as More ❯

and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps) Experience with Python or other relevant coding Experience with Data Observability tools Exposure to Agile Project Methodology, i.e. Scrum ️ The Application Timeline A first stage video call with the internal recruitment team More ❯

are important at the Senior level. WHAT SKILLS DO YOU HAVE? You will have expert-level knowledge of at least one object-oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++) You will have a strong understanding of the principles of good software design. Familiarity with core concepts such as information hiding, abstraction, module design, cohesion and coupling. More ❯

for version control and software engineering. Skills and Experience Academic Background: Advanced degree in AI, statistics, mathematics, computer science, or a related field. Programming and Frameworks: Deep experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face. GenAI Tools: Practical experience with LangChain, Hugging Face Transformers, and embedding models for building GenAI applications. Prompt Engineering More ❯

with designing and deploying Elasticsearch for Observability and Search use cases. Knowledge of security best practices and compliance requirements (e.g., GDPR, HIPAA). Proficiency in scripting and automation (e.g., Python, Bash, Ansible). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and container orchestration (e.g., Kubernetes). Excellent problem-solving skills and the ability to troubleshoot complex issues. Strong communication More ❯

and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and More ❯

to meet these challenges. The ideal candidates for this role will have experience working with cross-functional IT (Public Cloud skills being a plus) and sciences skillsets. Experience with Python, R, or other related data science programming. Experience with POSIT products (Package Manager, Connect, Workbench) either in an end-user or administrator capacity. Experience working with databases and/or More ❯

matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in Infrastructure as Code technologies (eg CloudFormation, CDK, Terraform) Source controlling your code with Version Control Systems, for example More ❯

matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in Infrastructure as Code technologies (eg CloudFormation, CDK, Terraform) Source controlling your code with Version Control Systems, for example More ❯

Secondment) Isleworth, England, United Kingdom 2 days ago Lead Software Engineer - Electronic Trading (Vice President) City Of London, England, United Kingdom 1 week ago Senior Data Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | Up to £140,000 + Bonus | Hybrid – London London, England, United Kingdom 1 week ago London, England, United Kingdom 3 months ago Senior Software Engineer, Robotics & Microscope More ❯

IaaS, PaaS, SaaS , Containerisation and Orchestration, CI/CD. Experience with infrastructure as code ( IaC ) tools such as Terraform or ARM templates. Proficiency in scripting languages such as PowerShell, Python, or Bash. Deep knowledge of containerization technologies, including Docker and Kubernetes. Excellent understanding of networking principles (IP addressing, virtual networks, network security and networking models). Understanding of observability and More ❯

within a consultancy or client-facing environment.+ Proven experience in designing and implementing machine learning models and data science solutions for clients.+ Strong proficiency in programming languages such as Python, R, and SQL.+ In-depth experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, etc.).+ Solid understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms More ❯

of data warehousing concepts and relational database design, particularly with Azure Synapse Analytics. Experience working with Delta Lake for schema evolution, ACID transactions, and time travel in Databricks. Strong Python (PySpark) skills for big data processing and automation. Experience with Scala (optional but preferred for advanced Spark applications). Experience working with Databricks Workflows & Jobs for data orchestration. Strong knowledge More ❯

solutions, and writing code, as well as helping our support organisation answer the most interesting user questions Work within a diverse technology landscape involving various programming languages (Java, Scala, Python), data management systems, and CI/CD pipelines (Jenkins) What You’ll Bring To The Role Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience More ❯

Engineering pipelines 4+ years experience building data products incrementally and integrating and managing data sets from multiple sources. 4+ years hands-on experience in key data management technologies, including Python but not limited to SQL, PySpark, Scoop, etc. Experience working on use cases for different file formats and database management systems including NOSQL databases Conceptual understanding of data management including More ❯

DevOps, waterfall) - SCRUM qualifications would be beneficial Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage including an understanding of AI Testing/quality engineering; experience of test automation will be beneficial Process Automation More ❯

for data storage and processing. b. Familiarity with big data tools (e.g., Hadoop, Spark) and data visualization platforms (e.g., Tableau, Power BI). c. Experience with scripting languages (e.g., Python, R) for data manipulation and automation. 4. Project Management Skills a. Experience managing or supporting data conversion projects with defined timelines and milestones. b. Familiarity with project management tools (e.g. More ❯

You have extensive experience in ETL/ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions.); You’re proficient in SQL and Python , using them to transform and optimize data like a pro; You know your way around CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or Bicep); You’ve hands More ❯

and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps) Experience with Python or other relevant coding languages Experience with Data Observability tools Exposure to Agile Project Methodology, i.e. Scrum A first stage video call with the internal recruitment team (15 minute call More ❯

skills, proficient in various programming languages, frameworks including DLT/Blockchain (e.g. Solidity/Ethereum and others), with tools for data analysis and AI development, also desired (such as Python, R, TensorFlow, PyTorch, Scikit-learn, etc); Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail-orientated; Experience in developing and deploying applications More ❯

high performance and high transaction volume distributed application Experience with MVC patterned applications using Struts or Spring Experience with writing SQL including stored procedures Experience with Unix Shell and Python Scripting Strong analytical and design skills, including the ability to understand business requirements and translate them into efficient and effective technical designs that work well within large-scale, well-structured More ❯

other database technologies is a bonus. 3+ years designing and implementing robust data solutions in Azure Data Factory, Azure Synapse Analytics (Azure SQL Data Warehouse), Azure Databricks. Experience with Python and Azure Functions to glue together data infrastructure. Strong experience in software engineering fundamentals including testing (e.g. Azure Test Plans, dbt), Git version control, agile development and sharing knowledge via More ❯

solve real-world problems in an unfamiliar environment. Meeting business requirements to agreed timetables while leading multiple work streams with limited oversight. Expert knowledge in R and/or Python, and how they work with Spark, to deliver critical data science and analytical capabilities in big data platforms. High proficiency in analysing big data with cloud services (e.g. Microsoft Azure More ❯

system engineering role. Expertise in at least two of the following distributions: Red Hat, CentOS, Ubuntu, or SUSE. Proven experience in automating tasks using scripting languages such as Bash, Python, or Perl. In-depth understanding of network protocols, services, and standards including TCP/IP, DNS, DHCP, NTP, and SSH. Strong knowledge of virtualization technologies (VMware, KVM) and containerization platforms More ❯