2,551 to 2,575 of 17,716 Python Jobs in the UK

ideal for engineers with a strong background in infrastructure and a passion for automation and emerging technologies like Generative AI. Skills & Experience Needed Mandatory: Strong coding skills in Go, Python, or Java Deep experience with GitHub APIs, GitHub Actions, and GitHub Apps Background in Operations, SRE, or Infrastructure Engineering Familiarity with IaC tools like Terraform Solid understanding of modern SDLC More ❯

e.g. Terraform, ARM, Bicep). Knowledge of key Azure services such as App Services, Virtual Machines, AKS, Azure Networking and Azure AD. Ability to script and automate using PowerShell, Python or Bash. Awareness of cloud-native architecture, containerisation (e.g. Docker/Kubernetes), and CI/CD pipelines. A collaborative approach and a problem-solving mindset, with the ability to work More ❯

ideally with front-office facing FX, Equities, Fixed Income or derivatives experience. Strong knowledge of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Strong familiarity with Agile processes. Experience with Pandas, NumPy, Matlab, R or other mathematical/statistical languages/packages. Experience in leadership and mentoring. Excellent More ❯

service mesh solutions (Istio, Linkerd). • Strong knowledge of Kubernetes, Envoy proxy, and cloud-native networking concepts. • Proficiency in scripting and infrastructure-as-code tools (e.g., Terraform, Helm, Bash, Python). • Solid understanding of microservices, zero-trust security, mTLS, RBAC, and network policies. • Experience with CI/CD tools, logging (e.g., Fluentd, Loki), and monitoring (e.g., Prometheus, Grafana). About More ❯

service mesh solutions (Istio, Linkerd). • Strong knowledge of Kubernetes, Envoy proxy, and cloud-native networking concepts. • Proficiency in scripting and infrastructure-as-code tools (e.g., Terraform, Helm, Bash, Python). • Solid understanding of microservices, zero-trust security, mTLS, RBAC, and network policies. • Experience with CI/CD tools, logging (e.g., Fluentd, Loki), and monitoring (e.g., Prometheus, Grafana). About More ❯

or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). Experience with prototyping languages such as Python and R. Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a project and work both independently and in More ❯

Testing Expertise: Experience in front-end and back-end testing, with automation testing skills. API Testing: Skilled in API testing tools like Postman or Insomnia. Programming Skills: Proficiency in Python, C#, or JavaScript, with experience in automated testing. Collaboration & Communication: Strong communication skills for effective teamwork. Problem-Solving: Proactive approach with keen issue identification skills. Agile Methodologies: Experience with Agile More ❯

background: − Bachelor’s or Master’s degree in computer science/engineering/Math/Physics, plus one or more of the following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). − Hands-on experience with data tools More ❯

and scale our data products Involved in automation, pipeline design, and machine learning projects High-impact role in a small, agile team with real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience designing/building/maintaining ETL pipelines Data modelling experience to forecast and analyse Data warehousing knowledge (PostgreSQL, Redshift More ❯

to the permanent team at the end of your engagement. What You’ll Need Ability to ramp up quickly and deliver high-impact results in a short time. Strong Python skills and a solid grasp of software engineering principles. Deep experience designing and building data platforms or internal platform infrastructure at scale in production environments. Expertise in AWS (especially Lambda More ❯

Kedro . Expertise in cloud platforms such as AWS, GCP, or Azure , along with modern data technologies like Spark, Kafka, or Hadoop . Proficiency in programming languages such as Python, Scala, or Java , with the ability to write efficient, scalable code . Experience working with AI/ML-driven platforms and understanding how data systems integrate with machine learning pipelines More ❯

leadership) What They’re Looking For: Deep experience working on and leading major migration or modernisation projects. Strong hands-on engineering background with languages like C#/.NET, Golang, Python, or NodeJS. Cloud experience (AWS preferred; Azure experience also welcome), including serverless tech like Lambdas. Solid understanding of containerisation (Docker, Kubernetes), infrastructure as code (Terraform), and modern software design patterns. More ❯

leadership) What They’re Looking For: Deep experience working on and leading major migration or modernisation projects. Strong hands-on engineering background with languages like C#/.NET, Golang, Python, or NodeJS. Cloud experience (AWS preferred; Azure experience also welcome), including serverless tech like Lambdas. Solid understanding of containerisation (Docker, Kubernetes), infrastructure as code (Terraform), and modern software design patterns. More ❯

data warehouse solutions using Snowflake In-depth understanding of Snowflake architecture, performance optimisation, and best practices Strong experience in ETL development, data modelling, and data integration Proficient in SQL, Python, and/or Java for data processing Hands-on experience with Azure and AWS cloud environments Familiarity with Agile methodologies such as Scrum, Kanban, or Lean Excellent communication skillsable to More ❯

Enterprise Linux (RHEL). Red Hat certifications (e.g., RHCSA, RHCE) are highly desirable. Strong knowledge of Linux system administration, networking, and security. Proficiency in scripting languages such as Bash, Python, or Perl. Familiarity with configuration management tools (e.g., Ansible, Puppet). Excellent communication and teamwork skills. Ability to work under pressure and manage multiple priorities. Must be a UK sole More ❯

and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Knowledge of AWS Infrastructure - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Strong analytical and problem solving skills. Curious, self-motivated More ❯

and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data More ❯

Strong communication and stakeholder management skills. Knowledge of AI tools and platforms (e.g., Microsoft Copilot, Amazon Q). Understanding of AI development, security, and compliance. Familiarity with programming (e.g., Python, Java, SQL) is a plus. Passion for learning and sharing knowledge with others. Nice to Have Experience with GenAI, Agentic AI, or LLMs. Exposure to technologies like vector databases, RAG More ❯

on experience as a Data Engineer, Senior Data Engineer or Data & AI Engineer with a passion for designing & developing production-ready applications using AWS, GCP or Azure Experience using python and SQL The ability to build AI-driven solutions using large language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based approaches, supported by frameworks like More ❯

within private equity, investment management, or financial services. Expert-level proficiency in Power BI, including DAX, Power Query, data modeling, and visualization best practices. Strong SQL skills; familiarity with Python or R for data analysis is a plus. Experience or keen interest in AI/ML tools, such as automated forecasting, NLP, or machine learning platforms. Solid understanding of financial More ❯

to the technical code and design documentation. Conduct solid analysis and problem solving to provide production support and L3 cover Required qualifications, capabilities, and skills Very strong experience in Python Strong knowledge of security and authentication (e.g. OIDC, OAUTH) Strong knowledge ofalgorithms and data structures Knowledge of Unix Shell scripting & SQL Expertise in software design using hexagonal architecture and Domain More ❯

in endpoint, cloud security, and network protection. Proficiency with AWS, Azure, or GCP. Understanding of data security principles. Familiarity with standards like ISO 27001, NIST, OWASP. Programming skills in Python, Go, or Java. Strong communication skills. Preferred Qualifications Bachelor’s or Master’s in Computer Science, Security, or related. Certifications such as CISSP, CSSLP, or cloud security certs. Experience mentoring More ❯

software solutions best practices. Contribute to team standards and future technical strategies. Candidate Requirements Experience building enterprise web applications using ASP .Net and Azure, with relevant certifications. Experience with Python is highly beneficial. Strong analytical and creative problem-solving skills. Experience working in Agile teams and deploying applications via DevOps, CI/CD pipelines. Proficiency in testing across the software More ❯

RPC) and monitor performance. Work with cross-functional teams using Agile methodologies. Rapidly prototype new ideas while ensuring scalability and robustness for production systems. Technical Skills Programming Languages: Java, Python, C#, C/C++, JavaScript, Ruby Web Technologies: React, Webpack, SCSS, Node.js, AngularJS Protocols: HTTP, TCP/IP, UDP, SMTP, DNS API Development: REST, SOAP, RPC, RMI Architectures: Microservices, Cloud More ❯

viewed very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques. Highly Desirable: Experience working on aerospace-related projects Experience deploying MLOps solutions and working within CI/CD More ❯