326 to 350 of 4,314 Python Jobs in the UK

on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and … other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience of Python backend development (e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including … core web application infrastructure is essential Strong skills in Python Unit testing experience (e.g. pytest) Knowledge of agile practices and able to perform in agile software development environments Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred More ❯

engineers and researchers to integrate infra with production workloads What you'll bring: 6+ years' experience in cloud engineering, ideally with ML-related workloads Proficiency in scripting (Bash, PowerShell, Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch More ❯

focus will be on designing and maintaining the data pipelines that feed large-scale ML and research workflows. Day-to-day responsibilities include: Building and maintaining data pipelines using Python, SQL, Spark, and Google Cloud technologies (BigQuery, Cloud Storage). Ensuring pipelines are robust, reliable, and optimised for AI/ML use cases. Developing automated tests, documentation, and monitoring for … and ML engineers to meet evolving data needs. Participating in code reviews, introducing best practices, and continuously improving performance and quality. Tech Stack & Skills Core Skills: Strong experience with Python and SQL in production environments Proven track record developing data pipelines using Spark, BigQuery, and cloud tools (preferably Google Cloud) Familiarity with CI/CD and version control (git, GitHub More ❯

Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting … Essential: A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects More ❯

Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting … Essential: A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects More ❯

Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting … Essential: A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects More ❯

Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting … Essential: A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects More ❯

Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting … Essential: A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects More ❯

Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting … Essential: A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects More ❯

You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model … in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn More ❯

You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model … in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn More ❯

You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model … in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn More ❯

You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model … in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn More ❯

You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model … in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn More ❯

You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model … in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn More ❯

Senior Software Engineer page is loaded Senior Software Engineerlocations: UK - London (20 Fenchurch)time type: Full timeposted on: Posted Todayjob requisition id: 2025-811 Job Title: Senior Software Engineer (Python) Reporting to: Lead Software Engineer Direct Reports: N/A Position Type: PermanentStanding still is not an option in the current world of Insurance. TMHCC are one of the world … Seek out ways to measure the impact your solutions have on the business and use them to inform future workSkills and Experience Specification Essential : Experience of application development using Python (FastAPI desirable) Relevant qualifications and experience i.e. BSc in Computer Science or Engineering, Software Development certifications, etc. Demonstrable experience in configuring and developing complex software solutions Strong understanding of object More ❯

environment. This is a hands-on role that blends software engineering with analytical thinking and problem-solving. You will be expected to work across a diverse technology stack - including Python, APIs, Power BI, and low-code tools - to build and iterate on solutions that drive real business outcomes. As an engineer, you will help foster a culture of continuous improvement … platforms as needed. Collaborate directly with business stakeholders to understand requirements and deliver rapid, fit-for-purpose solutions in an Agile environment. Develop lightweight applications, scripts, and dashboards using Python, Power BI, and other low-code/no-code tools to support operational and analytical needs. Support data analysis and reporting initiatives by building queries, visualisations, and automation pipelines, ensuring … Finance Technology environment Flexibility across technologies and drive to learn about the business and future technology Strong understanding of DevOps tooling and code deployment Solid foundation in SQL and Python Exposure to Power Platform, including Power BI and Power Automate Familiarity with Azure DevOps (or equivalent), CI/CD pipelines, and Agile delivery Innovative approach to problem solving, solutions, and More ❯

team and build on continued success on a global scale. Key responsibilities Designing, building, deploying and/or managing AI solutions using industry leading approaches across technologies such as Python, Git, SQL and other relevant technologies Engaging with clients at all levels across the organisation both business & technology functions Nurturing long term trusted advisor relationships Training and managing junior staff … Technology or related fields Relevant experience in delivery of AI design, build, deployment or management Proficiency or certification in Microsoft Office tools, as well as relevant technologies such as Python, TensorFlow, Jupiter Notebook, Spark, Azure Cloud, Git, Docker and/or any other relevant technologies Strong analytical and problem solving skills, with the ability to work on complex projects and More ❯

with purpose-built LLMs. Knowledge ofprompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries likePyTorch, Hugging Face Transformers, andscikit … learn. Experience withdata manipulationusing libraries such asPandasandNumPy, and familiarity withparallelizationorasynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as More ❯

with a focus on latency, reliability, and observability. Contribute to and lead architecture discussions, including model orchestration, caching strategies, data storage patterns, and compute optimization. Write production code (Node.js, Python, or similar), review pull requests, and promote engineering best practices across the team. Collaborate cross-functionally with product, design, and client teams to deliver intelligent, usable features on a fast … in Computer Science, Engineering, or a related field. 7+ years of professional software development experience, ideally in backend or platform teams. Strong proficiency in backend service development in Node.js, Python, Go, or similar languages. Experience designing and operating cloud-native systems (AWS, Azure, or GCP) with a focus on scalability and resilience. Familiarity with AI/ML systems, or demonstrable More ❯

services. DevOps experience in a Linux environment. Experience with containerization and orchestration tools like Kubernetes. Solid experience with Infrastructure as Code (e.g., Terraform, Ansible, CloudFormation). Experience with Scripting (Python or Bash) Have practical experience in managing large MySQL database instances. Location: Reading/Hybrid Salary: up to £85K depending on experience + bonus + private medical care. If you More ❯

re Looking For: Proven experience as a Virtualisation Platform Engineer or similar role. Strong understanding of virtualisation platforms and container orchestration tools. Proficiency with automation and scripting (Terraform, Bash, Python). Experience with monitoring, alerting, and incident response tools. A passion for engineering excellence, automation, and operational efficiency. More ❯

re Looking For: Proven experience as a Virtualisation Platform Engineer or similar role. Strong understanding of virtualisation platforms and container orchestration tools. Proficiency with automation and scripting (Terraform, Bash, Python). Experience with monitoring, alerting, and incident response tools. A passion for engineering excellence, automation, and operational efficiency. More ❯

strong commitment to equality, diversity, and organisational values. Be flexible and willing to adapt to changing business needs. Technical Skills Essential: Linux SysAdmin (RHCSA) Infrastructure as Code (Terraform) Scripting (Python or Bash) Cloud networking (VPCs, VPNs, DNS) Containerisation (Docker, Kubernetes) Desirable: Basic database administration (MySQL, MSSQL, Postgres, etc.) AWS services (EC2, RDS, S3, CloudFormation) CI/CD tools (Ansible, Jenkins More ❯

strong commitment to equality, diversity, and organisational values. Be flexible and willing to adapt to changing business needs. Technical Skills Essential: Linux SysAdmin (RHCSA) Infrastructure as Code (Terraform) Scripting (Python or Bash) Cloud networking (VPCs, VPNs, DNS) Containerisation (Docker, Kubernetes) Desirable: Basic database administration (MySQL, MSSQL, Postgres, etc.) AWS services (EC2, RDS, S3, CloudFormation) CI/CD tools (Ansible, Jenkins More ❯