26 to 50 of 3,807 Python Jobs in England

Responsibilities: Depending on your background (Software or Data/Analytics), your focus will include: Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical … that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn clean data … Have 7+ years’ experience in software, data, or analytics engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation More ❯

Responsibilities: Depending on your background (Software or Data/Analytics), your focus will include: Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical … that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn clean data … Have 7+ years’ experience in software, data, or analytics engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation More ❯

Responsibilities: Depending on your background (Software or Data/Analytics), your focus will include: Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical … that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn clean data … Have 7+ years’ experience in software, data, or analytics engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation More ❯

Responsibilities: Depending on your background (Software or Data/Analytics), your focus will include: Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical … that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn clean data … Have 7+ years’ experience in software, data, or analytics engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation More ❯

cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯

cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯

cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯

cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯

cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯

cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯

cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯

an established business. Key Responsibilities End-to-end development of high-quality, scalable SaaS platforms from design through deployment and maintenance. Architect and implement robust backend services primarily using Python and PostgreSQL. Develop and maintain responsive, performant front-end applications with TypeScript and modern frameworks (e.g., NextJS, NodeJS). Collaborate with product owners, UX/UI designers, and other stakeholders … with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimisation, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯

live systems when needed. We are looking for candidates with a positive problem solving attitude who can adapt to client problems as required. The Tech Stack used is: Java, Python, Javascript (Typescript), Vue, Bash, Jenkins, Ansible ,Cucumber, NiFi, Go, AWS, Gitlab, ELK stack, Terraform, Grafana, Sonarqube, Openshift, Linux Required qualifications to be successful in this role Proven experience in Site … Reliability Engineering or a similar DevOps/SRE role supporting cloud-based applications. Strong scripting and automation skills using Bash, Python, or Go. Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI, and Ansible. Proficiency in managing infrastructure-as-code with tools like Terraform. Solid understanding of AWS services and cloud-native architecture. Strong troubleshooting skills More ❯

and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps More ❯

and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps More ❯

with at least one public cloud (AWS, Asure, or GCP) Strong API development and database experience (Postgres/Oracle + SQL). Proficiency in Java is essential, with Go, Python, or similar languages Experience with front-end frameworks (ideally Angular, React, or similar). Secure coding practices and identity/secrets management. Strong version control (Git) and testing practices (integration More ❯

Computer Science, Software Engineering, or related field (or equivalent practical experience). Proficiency in TypeScript/JavaScript (modern standards) with strong knowledge of performance and system design. Proficiency in Python, particularly for scripting, data processing, or system integration. Familiarity with Git, CI/CD pipelines, and automated testing workflows. Strong problem-solving skills, with a proactive and structured approach. Excellent More ❯

Computer Science, Software Engineering, or related field (or equivalent practical experience). Proficiency in TypeScript/JavaScript (modern standards) with strong knowledge of performance and system design. Proficiency in Python, particularly for scripting, data processing, or system integration. Familiarity with Git, CI/CD pipelines, and automated testing workflows. Strong problem-solving skills, with a proactive and structured approach. Excellent More ❯

Computer Science, Software Engineering, or related field (or equivalent practical experience). Proficiency in TypeScript/JavaScript (modern standards) with strong knowledge of performance and system design. Proficiency in Python, particularly for scripting, data processing, or system integration. Familiarity with Git, CI/CD pipelines, and automated testing workflows. Strong problem-solving skills, with a proactive and structured approach. Excellent More ❯

in change management and capacity planning activities. What you will bring: Strong Windows and Linux sysadmin expertise. Proficient with one or more high level programming languages such as JavaScript, Python, C#, C++, Go or Java. Competent with multiple scripting languages such as PowerShell, Bash or SQL. Background working with enterprise orchestration tooling, including the Aria Automation suite or Rundeck. Background More ❯

agile/lean methodologies. A strong full stack software development background with an understanding of how to engineer quality software. Considerable commercial development experience with C#/.net, Java, Python, or other development languages. Web development experience using technologies such as JavaScript, TypeScript, and React. Proven experience delivering mission critical software into a demanding production environment. Deep experience using git More ❯

available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis More ❯

scripting code, continuous automation principles (CI/CD) Good knowledge of operating systems (Win/Linux) and proficiency in at least one development language (Java, C/C++, C#, Python, JavaScript, Go) AWS SAA or AWS SAP certification considered positively. Others Good communication skills (oral and written) Fluent in English Willing to share knowledge, training, and supporting people. Analytical thinking More ❯

with SIEM tools, vulnerability management, malware analysis, and firewall configurations Ability to communicate complex technical solutions to a wide range of audiences, both technical and non-technical Skilled in Python, JSON, YAML, Bash, or other relevant scripting languages 3–5 years of experience in Technical Support, or similar hands-on roles Bachelor’s/Master’s degree in a technical More ❯

with SIEM tools, vulnerability management, malware analysis, and firewall configurations Ability to communicate complex technical solutions to a wide range of audiences, both technical and non-technical Skilled in Python, JSON, YAML, Bash, or other relevant scripting languages 3–5 years of experience in Technical Support, or similar hands-on roles Bachelor’s/Master’s degree in a technical More ❯