1 to 25 of 238 Permanent Python Jobs in Central London

delivery teams (Scrum/Kanban/Lean) Solving complex technical challenges using sound engineering principles What we're looking for Strong programming experience in Python, Java, JavaScript or .NET Proven experience delivering production-grade systems Solid use of Git-based version control Experience with CI/CD tooling (e.g. Jenkins ...

architecture, networking, load balancing, and distributed systems. Proven experience supporting production SaaS environments. Strong understanding of monitoring and observability tooling. Excellent scripting skills in Python, Bash, or similar. Excellent communication and collaboration skills. Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. ...

pipelines, using tools such as GitLab CI, Jenkins, or ArgoCD. * Knowledge of containerization and orchestration, including Docker and Kubernetes. * Strong scripting skills in Python, Bash, or PowerShell for automation. * Understanding of AWS networking concepts, including VPCs, subnets, security groups. * Experience with monitoring and logging solutions, such as Prometheus, Grafana ...

overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: Built modern full-stack applications w/focus on backend (e.g. Python, Java, Go) Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (eg. WebSockets ...

integration points , not just front-end UI. Strong analytical mindset and attention to detail - you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model - flexibility to split time between home ...

production outcomes to stakeholders. Mentor junior colleagues and share learnings across the team. Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills ...

engineering, with the ability to translate experimental success into reliable, scalable systems. Essential experience includes: Commercial experience developing and deploying machine learning models in Python Proficiency with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow Strong experience delivering ML solutions using AWS services (e.g. SageMaker, Lambda, S3) Expertise ...

agentic capabilities, able to build production-grade applications not just prototypes. Strong proficiency in at least one relevant programming language such as Python or PySpark, Java, Typescript or SQL. Solid understanding of data engineering, data modelling, security and governance in enterprise settings. Experience with software engineering best practices including ...

CCNP, JNCIA, or equivalent Experience with cloud networking (AWS, Azure, or GCP) Knowledge of SD-WAN, VoIP, or wireless networking Scripting or automation experience (Python, Bash, Ansible) Experience in high-availability or enterprise-scale environments Soft Skills Strong analytical and problem-solving skills Excellent communication and documentation abilities Ability ...

Factory, ADLS, Azure SQL Database, Synapse Analytics). Strong hands-on expertise in Databricks , Delta Lake , and cluster management . Proficiency in SQL and Python for pipeline development. Familiarity with Git/GitHub and CI/CD practices. Understanding of data modelling , data governance , and security principles. Desirable Skills Experience ...

have experience of building enterprise grade systems that are reliable, secure, maintainable and observable You have strong TypeScript and Node.js backend development skills - Python is also desirable for data related work You have experience of building event-driven systems and public APIs You have a strong appreciation of SaaS, Kubernetes ...

Manager should have: Advanced Microsoft Excel (including complex formulas, macros, and data analysis). Programming & Data Tools: VBA, SQL, SSIS, Azure Data Factory (ADF), Python, .NET, Java. Business Intelligence Tools: Power BI or similar for reporting and visualization. Version Control & Automation: CI/CD pipelines, and automated testing frameworks. Data ...

maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow ...

sharing knowledge across the team 🌟 Essential experience 3+ years working as a Data Engineer or in a similar data-focused engineering role Strong Python and SQL skills Experience building and orchestrating data pipelines (Airflow or similar tools) Hands-on work with cloud platforms (AWS and/or Azure) Solid understanding ...

knowledge of machine learning, AI and statistical methods, applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version ...

cloud-native platform. Experience with the following will be highly desirable: AWS – Lambda, API Gateway, Cognito, S3 and OpenSearch Node.js/TypeScript and Python DynamoDB and PostgreSQL Serverless Architecture and microservices patterns. Infrastructure tools like Terraform, Docker, and CI/CD pipelines. Security and compliance practices, especially relevant in healthcare. ...

RNNs, LSTMs, Transformers Expertise in gradient boosting, random forests, and ensemble methods Experience with generative models (GANs, VAEs, Diffusion models) Programming & Tools : Expert-level Python programming Proficiency with ML frameworks (PyTorch, TensorFlow, JAX) Experience with scikit-learn, XGBoost, LightGBM Strong software engineering practices and clean code principles Data & Computing : Experience ...

Transition experiments into production-ready solutions Implement experiment tracking and monitoring Collaborate with data scientists and engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ ...

members. Profile Senior Data Engineer A successful Senior Data Engineer should have: Experience within the Insurance industry Strong proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database ...

experience applying data science and advanced analytics, underpinned by a strong quantitative education or equivalent professional background in a STEM discipline Strong proficiency in Python and associated libraries for data analysis, machine learning, and model development In-depth understanding of machine learning techniques, with experience delivering ...

time insights into user flows Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: Built modern full-stack applications (Python/Java/Go + React) Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication ...

data and cloud technologies . You will be utilising and playing with tools across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools ...

Excellent communication skills for interacting with technical and non-technical stakeholders. Desirable: Experience with Infrastructure as Code (Terraform), CI/CD pipelines, and scripting (Python, Bash, Perl). Strong understanding of cloud security best practices and tools. Hands-on experience with networking across cloud and on-premise systems (TCP/ ...

Data Engineer, Analytics Engineer or Technical Success/Customer Engineering role within a Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/ ...

images, audio, graphs, time series, and tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment ...