201 to 225 of 5,702 Python Jobs in England

data science or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw 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 ❯

£70-90k + Benefits 2 days on site in North London 3 days remote I am recruting for a talented and driven Backend Engineer to join a dynamic team, focused on the creation and deployment of innovative software solutions. More ❯

About Us As the UK's largest integrated retail and financial services provider, we have a pretty unique position across three huge industries (retail, technology and credit) and our ambition is bold, to build the number one shopping destination for More ❯

and reviews to the team. Addressing technology-related impediments to development. Required Skills and Experience The following skills and experiences are essential: Minimum of 5 years' experience as a Python engineer role. Proven expertise in developing robust APIs using frameworks such as Flask, FastAPI, or Django. Familiarity with Elasticsearch for search and indexing. Strong knowledge of containerisation tools (Docker) and More ❯

patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible More ❯

patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible More ❯

Essential Skills and Experience: Proven experience working with cloud platforms such as AWS or Azure. Frontend development expertise using JavaScript, TypeScript, and React. Strong backend development skills in Java, Python, or Golang. Desirable Skills: Experience with container orchestration tools such as Kubernetes. Familiarity with Agile development methodologies and practices. Why Join Us? Be part of a team delivering impactful solutions More ❯

improvement. Required Skills : Proficient in AWS cloud services and DC (Data Center) operations . Strong experience in cloud migration strategies, planning, and execution. Expertise in scripting languages such as Python, Bash, or PowerShell. The candidate must have a Bachelor's degree in Computer Science, Information Technology, or a related field. AWS Certified Solutions Architect or similar certification is highly preferred. More ❯

TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python (essential), SQL, Bash Ideal Candidate Profile: 4+ years of experience in machine learning, with at least 2 years in biotech, healthcare, or life sciences Strong understanding of biological data types More ❯

a strong foundation in predictive modelling and machine learning Proven experience working with consumer behaviour data—ideally within healthcare, digital health, or related B2C environments Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with More ❯

a strong foundation in predictive modelling and machine learning Proven experience working with consumer behaviour data—ideally within healthcare, digital health, or related B2C environments Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with More ❯

NLB/ALB) for secure data flow. Design and maintain CI/CD pipelines on AWS. Support applications on Kubernetes, ensuring scalability and resilience. Use Go and/or Python for automation tasks. Troubleshoot complex issues with analytical skills. Qualifications Experience with applications, data engineering, or machine learning workloads on AWS or GCP. Hands-on with CloudFormation and Terraform. Knowledge More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

years previous experience Be a graduate or of graduate calibre, will have a technology background, and hold a formal project management qualification. Technical proficiencies: .NET stack, C#, Python, React, Angular, SQL Experience in CI/CD pipelines, GitHub projects, GitHub Enterprise Server, Azure DevOps, container technologies (Docker, Kubernetes etc.,) and API gateway Proven track record of managing and delivering projects More ❯

the curve with the latest tools and technologies. Your Toolkit Pro-level skills in HTML, CSS, JavaScript , and frameworks like React, Angular, or Vue . Backend savvy with Node.js, Python, Ruby, Java , or similar. Hands-on experience with RESTful APIs , SQL/NoSQL databases , and Git . A knack for responsive design and mobile-first development. A mindset that blends More ❯

EC2, S3, RDS, Lambda, VPC, IAM, ECS, ECR, and CloudFront. Strong skills in Terraform, Jenkins/Bitbucket CI/CD pipelines, and Docker. Scripting and automation experience (bash, PowerShell, Python) and configuration management tools (Ansible, Puppet, or Chef). Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, and Grafana. Certified AWS Solutions Architect Associate (or equivalent experience). More ❯

EC2, S3, RDS, Lambda, VPC, IAM, ECS, ECR, and CloudFront. Strong skills in Terraform, Jenkins/Bitbucket CI/CD pipelines, and Docker. Scripting and automation experience (bash, PowerShell, Python) and configuration management tools (Ansible, Puppet, or Chef). Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, and Grafana. Certified AWS Solutions Architect Associate (or equivalent experience). More ❯

work in Agile environments and deliver results iteratively Excellent communication skills and a collaborative approach to problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be More ❯

work in Agile environments and deliver results iteratively Excellent communication skills and a collaborative approach to problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be More ❯

data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases More ❯