2,376 to 2,400 of 16,309 Python Jobs in England

to support maintainability and quality Key Skills & Experience Essential: British-born sole UK national SC Cleared and willing to undergo Enhanced DV+ clearance Proficient in Java , with exposure to Python Strong experience developing on Linux Version control using Git Agile development (SCRUM) Working with both relational databases (Oracle) and NoSQL (MongoDB) Experience with GitLab CI/CD Pipelines , Apache NiFi More ❯

Collaborate cross-functionally with consulting and engineering teams to guide best practices. Drive innovation using tools such as Terraform, MLflow, AzureML, LangSmith, and more. Technical Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and More ❯

Ubuntu, etc.). Experience with workload managers/schedulers (e.g. Slurm, PBS, LSF). Familiarity with parallel file systems (e.g. Lustre, GPFS) and storage management. Scripting skills in Bash, Python or similar for automation and orchestration. Knowledge of performance tuning, monitoring tools and job profiling. Strong problem-solving skills and the ability to work in fast-paced technical environments. Desirable More ❯

succeed Advanced degree (Master's or PhD) in a relevant field 5+ years of hands-on experience in MLOps and Research Engineering Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring More ❯

influence customer experience and operational excellence. Minimum Requirements 6+ years of experience in building machine learning models for business applications. Knowledge of programming languages such as C/C++, Python, Java, or Perl. Experience with neural deep learning methods and machine learning. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative More ❯

Collaborate cross-functionally with consulting and engineering teams to guide best practices. Drive innovation using tools such as Terraform, MLflow, AzureML, LangSmith, and more. Technical Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and More ❯

and experience We welcome candidates from diverse technical backgrounds, especially those passionate about learning new skills. Technologies we work with include: High-level solution languages such as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies like NiFi, Hadoop, Spark Cloud and containerization technologies More ❯

Skills & Qualifications: Essential: Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills More ❯

years of applicable experience. Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using languages such as Python, Go, C#, Java, or similar. Experience of code collaboration such as GitHub, ArgoCD, or similar. Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases. More ❯

process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies. Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift, concept drift More ❯

process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies. Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift, concept drift More ❯

Skills & Qualifications: Essential: Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills More ❯

Skills & Qualifications: Essential: Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills More ❯

support and mentor more junior team members. Advanced knowledge of machine learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software product development processes and governance, including CI/CD processes and release and change management. Familiarity with More ❯

and drive actionable insights. Proficiency in CRM software (Salesforce, HubSpot, Zoho CRM, Braze). Experience with cloud platforms ( AWS, GCP, Azure ). Coding skills in SQL, Java, C++, R, Python , or other mainstream data science languages. Industry Experience: Proven track record in B2C and B2B industries, including travel (airlines), financial services (unsecured lending/insurance), and e-commerce (online retailers More ❯

networks for computer vision applications . Experience with AWS services such as EC2, S3, EKS, and SageMaker. Experience with Infrastructure as Code frameworks like TerraForm . Strong proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV. Experience with software development and deployment in a Linux environment. A solid foundation of software development best practices such as issue tracking More ❯

Collaborate cross-functionally with consulting and engineering teams to guide best practices. Drive innovation using tools such as Terraform, MLflow, AzureML, LangSmith, and more. Technical Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and More ❯

EKS, VPC, RDS, and S3, as well as Azure, Azure DevOps, and VMware. • Proficiency with automation and infrastructure tools including Ansible, Terraform, and Packer, along with scripting languages like Python and Bash. • Experience working with onshore and offshore teams and working in an environment that includes 3rd party vendors and suppliers • A solid understanding of Linux administration, networking, container orchestration More ❯

analytics, mathematics, or related field. - Proven experience in data analysis, statistical modeling, and machine learning techniques, preferably in financial services or wealth management. Proficiency in programming languages such as Python, R, or Java, and familiarity with data analysis libraries (e.g., Pandas, NumPy, scikit-learn). Strong understanding of database technologies and SQL proficiency for data manipulation and querying. Excellent analytical More ❯

to Have: Healthcare Insight: Experience in healthcare, medical devices, or pharmaceuticals, especially with protocols and standards related to clinical data in-motion and at-rest. Bonus Skills: Knowledge of Python, TypeScript, and relevant healthcare standards such as FHIR, CDISC. If this opportunity excites you and you meet most of the qualifications, Apply now! To find out more about Computer Futures More ❯

hands-on experience with Azure data tools, including Data Factory, Data Lake, Synapse Analytics, and Azure SQL. Strong proficiency with Databricks, including Spark, Delta Lake, and notebooks. Skilled in Python and SQL for data transformation and processing. Experience with Git and modern CI/CD workflows. Strong analytical mindset and effective communication skills. Nice to Have: Experience with real-time More ❯

Proven experience as a Software Developer or Software Engineer . Strong experience with Azure cloud services , including app services, databases, and security protocols. Proficiency in programming languages such as Python, JavaScript, C#, or equivalent. Experience with SQL and NoSQL databases. Strong problem-solving skills with the ability to work independently and collaboratively. Experience with Agile development methodologies and version control More ❯

exchange to foster a culture of learning and collective problem-solving. Requirements 4-5 years of hands-on experience applying data science techniques in a professional environment. Skilled in Python programming and proficient with querying and manipulating data using SQL. Comfortable working within Microsoft Azure tools, especially Azure Notebooks and Azure DevOps or related platforms. Degree in Computer Science, Engineering More ❯

and proficient advanced experience Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls Advanced in one or more programming languages, ideally one or more of: *NIX Scripting, Python, SQL & GraphQL, Splunk, Grafana & OpenTelemetry Proficiency in automation and continuous delivery methods Proficiency in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as continuous More ❯

pre-sales, technical architecture, or consulting Strong communication and presentation skills Hands-on experience in technical integrations and POCs Comfortable coding in any high-level programming language (Java, Go, Python) Strong hands-on knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry Industry knowledge and opinions on Monitoring, Observability, Log Management, SIEM Engineering/DevOps Background – advantage Experience in More ❯