1,201 to 1,225 of 8,778 Python Jobs in England

Java-based applications is a plus. • DevOps Mindset: An understanding of DevOps principles, with hands-on experience automating releases using Ansible. Programming and Data Skills: o Proficient in SQL, Python, or other similar languages with experience working in Agile environments. o Understanding of data integrity and audit practices, with the ability to collect, parse, and format large volumes of data More ❯

hosting, and throughput optimisation. Expertise in deploying and fine tuning large language models. Monitoring & Performance: Proficiency with monitoring tools such as Prometheus and Grafana. Programming & Automation: Strong proficiency in Python, with experience in developing production applications. Data Engineering & Streaming: Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments. Nice to Have: Neo4j Data Streaming More ❯

related field 3-5 years of experience in data science roles Creative problem-solving and solution scoping Strong grasp of mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control management Ability to work efficiently without More ❯

Integrity, ethical standards, and sound judgment Expert Knowledge in One Or More Of Programming in a compiled language such as Java or C++, or an interpreted language such as Python, and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDB and Elastic Search. More ❯

life 8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure - 8+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust - Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc - Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on More ❯

algorithms, data structures, complexity analysis, and object-oriented software design in Linux/Unix environments - Proficiency with one or more general purpose programming languages including but not limited to: Python, Java, Typescript, Scala, Golang, C++ or C# PREFERRED QUALIFICATIONS - Knowledge of best practices for the full software development life cycle; including coding standards, code reviews, source control management, build processes More ❯

Engineering, with pharmaceutical industry experience. Strong background in Generative AI , including LLMs, frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (AWS, Azure, Google Cloud). Proficient in programming languages (e.g. Python, R, Java) and familiar with data tools like Alteryx, Snowflake, Tableau, or Spotfire. Proven track record managing AI projects from concept to deployment, with sound project management skills. Strong analytical More ❯

stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills More ❯

stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills More ❯

stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills More ❯

best practices in a cloud-native environment. Requirements: 3+ years of experience in backend/cloud engineering with AWS. 5+ years of Java backend development experience. 3+ years of Python development. Strong hands-on experience with AWS services: Lambda, S3, K8S. Deep understanding of data lake architectures and formats such as Parquet and Iceberg. Proficiency in Spring Boot and working More ❯

LLM application development Stay at the forefront of AI research and incorporate state-of-the-art techniques What You'll Need to Succeed Proficiency in programming languages such as Python, JavaScript, or TypeScript Experience working with foundational model APIs and pre-trained open source models Strong understanding of machine learning workflows, including model evaluations and LLM fine-tuning Familiarity with More ❯

a qualified UK actuary (Fellow of IFoA preferred) Minimum 5 years of relevant actuarial experience with strong focus on pricing and modelling Programming skills in R and/or Python Experience with technical platforms, pricing systems, or analytical infrastructure Experience with modern data architecture, APIs, and cloud-based solutions Project management skills with ability to lead complex technical initiatives Experience More ❯

all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps components (e.g. Power Apps More ❯

AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is an equal More ❯

in new contexts. You will have the opportunity to work across a variety of technologies and will need to be comfortable doing so. Our teams have used Java, Ruby, Python, ES6 with React, as well as C# with .NET Core, and plenty more stacks. We don't limit ourselves as a company to particular technologies and we expect all our More ❯

in new contexts. You will have the opportunity to work across a variety of technologies and will need to be comfortable doing so. Our teams have used Java, Ruby, Python, ES6 with React, as well as C# with .NET Core, and plenty more stacks. We don't limit ourselves as a company to particular technologies and we expect all our More ❯

in new contexts. You will have the opportunity to work across a variety of technologies and will need to be comfortable doing so. Our teams have used Java, Ruby, Python, ES6 with React, as well as C# with .NET Core, and plenty more stacks. We don't limit ourselves as a company to particular technologies and we expect all our More ❯

in new contexts. You will have the opportunity to work across a variety of technologies and will need to be comfortable doing so. Our teams have used Java, Ruby, Python, ES6 with React, as well as C# with .NET Core, and plenty more stacks. We don't limit ourselves as a company to particular technologies and we expect all our More ❯

the industry! - You work with some of the best tech in the industry, such as AWS SageMaker for ML, DBT for data processing along with standard analytical tools like Python, Redshift, Tableau etc. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can implement. A day in the life Finding insight More ❯

or CRM data migrations (e.g., SAP, Salesforce, Dynamics 365) Advanced SQL skills, including experience with structured and unstructured data Experience working with relational databases Familiarity with scripting languages (e.g., Python) Understanding of data quality principles and data governance frameworks Strong analytical and problem-solving skills Experience in the social housing or public sector Experience with platforms like SharePoint, Documentum, or More ❯

insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding of Linux, parallel computing tools, and experience with Git, Jira, and Confluence. A demonstrated More ❯

years in Engineering Management and above roles London-based, with flexibility for travel . Strong technical background: Two or more popular web development programming languages (C#, JS/TS, Python, Java, Ruby, PHP) One or more cloud providers (AWS, Azure, GCP) Containerisation technologies Knowledge of microservices and event-driven architecture. CI/CD, pipelines development, Infrastructure As a Code Monitoring More ❯

years in Engineering Management and above roles London-based, with flexibility for travel . Strong technical background: Two or more popular web development programming languages (C#, JS/TS, Python, Java, Ruby, PHP) One or more cloud providers (AWS, Azure, GCP) Containerisation technologies Knowledge of microservices and event-driven architecture. CI/CD, pipelines development, Infrastructure As a Code Monitoring More ❯

to help you develop into a better-rounded professional. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance More ❯