1,101 to 1,125 of 8,078 Python Jobs in England

work closely with researchers, software engineers and customers to deliver innovative AI solutions for demanding real-world applications. Key Skills and Requirements Strong Python/PyTorch development and production AI/ML experience Expert knowledge of CNNs, Vision Transformers and modern computer vision Experience developing custom neural networks, training strategies … Networks/Model Development/Model Optimisation/Object Detection/Segmentation/Tracking/GPU/Edge AI/Real-Time Inference/Python/Git/CI/CD/Docker/Kubernetes/MLOps ...

design tool (using synthetic data, scenario replay, and state machines to validate logic)Fullstack Product EngineeringBuild end‐to‐end product features spanning:Backend services (Python/TypeScript)APIs (REST/GraphQL/FastAPI)Frontend experiences (React)Create human‐in‐the‐loop interfaces for AI systems (review, override, explainability)Collaborate closely … team that values design‐led thinking, technical depth, and autonomy.QualificationsWhat We’re Looking ForCore ExperienceStrong fullstack engineer with deep backend capabilityProduction experience with Python and/or TypeScriptExperience owning systems from concept to productionComfortable working in small, high‐ownership teamsAI & Data (Practical, Not Theoretical)Hands‐on experience with:LLMs ...

industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held … Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions ...

datasets used throughout the industry• Partner with both technical teams and non-technical business stakeholders• Help modernize and automate existing workflows using AWS and Python• Gain exposure to multiple areas of the data engineering function through cross-training• Join a collaborative team where communication, initiative, and problem-solving are highly … independently, solving problems, and explaining technical concepts to audiences with varying levels of technical knowledge.Strong SQL skills with experience querying and manipulating large datasetsStrong Python experience in a data engineering environmentExperience building, maintaining, or optimizing data pipelines and data processesExperience working with AWS data engineering technologiesUnderstanding of data quality, validation ...

delivering high-quality solutions with minimal supervision.Key Responsibilities•Design, build and optimise scalable ETL/ELT data pipelines.•Develop and maintain solutions using Databricks, Python and SQL.•Support migration of data assets from legacy platforms into modern cloud-based architectures.•Integrate data from multiple enterprise systems, including Oracle databases.•Develop … activities.Essential Skills & Experience•Strong commercial experience as a Data Engineer within large enterprise environments.•Hands-on expertise with Databricks.•Advanced SQL development skills.•Strong Python development experience.•Extensive experience working with Oracle databases.•Proven experience building and supporting data pipelines and data integration solutions.•Experience working within cloud-based data ...

scale Tier 0 infrastructure that’s used to host and route requests to hundreds of microservices. You will gain hands-on experience with C++, Python, Linux, AWS, Kubernetes, Terraform, and network protocols. Key Responsibilities: Design, implement, and test code changes Participate in an on-call rotation to respond to critical … Proficiency with a high-level programming language Good technical, collaborative, and troubleshooting skills Strong analytical and problem-solving skills Desired Skills: Proficiency with C++, Python, and Linux Exposure to common cloud infrastructure components (AWS preferred) Exposure to Kubernetes Previous professional experience in software engineering or a similar field Strong verbal ...

political markets, to delivering the sharpest prices and the fairest odds.Our stack is designed for scale, reliability, and speed: Linux, Kafka, Postgres, Kubernetes, with Python 3, Rust, C++17, and React powering our platform. We build infrastructure that institutions trust while keeping trading accessible to everyone. Our edge? We’ve thrived … with cutting-edge technology and a customer-first philosophy, Smarkets is where you belong.ResponsibilitiesLead the design, development, and optimisation of backend services written in Python and RustArchitect and build scalable, distributed systems to meet the evolving needs of the platformEnhance system reliability through robust monitoring and alerting systemsDrive and enforce ...

technologiesExperience running distributed data and analytics systems at scale using tools such as Spark, Kafka, Trino or AirflowStrong Linux skills and proficiency in Python for automation and integrationFamiliarity with infrastructure as code, using Terraform or AnsibleDeep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAAExperience with … DataOps practices and collaboration with Data Engineering teamsFamiliarity with GPU-accelerated analytics using Spark with GPUs or RAPIDSProgramming experience with Java, Scala, C#, Python or GoWhy join us Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar35 days’ annual leave9% company pension ...

experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills … that power Moody's next generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody's technical teams and business partners throughout design ...

workDeveloping clean, tested, documented and reusable datasets that power analyst-led deep dives, stakeholder self-service and agentic data analysisBuilding tools, such as python packages, and AI-embedded workflows using langgraph that help analysts and stakeholders work faster and more confidentlyApplying software engineering practice to the analytics stack, including … experience:Experience in analytics engineering, data engineering or a similar role, with equal measures of technical ability and business acumenStrong data transformation skills using python and SQL, with hands-on experience of modern code-based transformation and ingestion frameworks, such as dbt core and dltFluent in a modern software engineering ...

invoicing, booking, search and scoring algorithms, ETL, data pipelines, in‐app messaging, real‐time notifications, and fraud prevention. Our backend engineers mostly work with Python and Django on a service‐oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL … contact for your squad, facilitating alignment between engineering, product, and stakeholders Architecture & Design Design and evolve scalable, resilient microservices architectures using Django and Python, deployed on Kubernetes at scale Lead the design of APIs, data pipelines, and distributed systems with a strong focus on performance, reliability, and maintainability Define ...

reduce technology sprawl while improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration … troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets ...

reduce technology sprawl while improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration … troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets ...

frameworks, such as Ansible, Puppet, Terraform, GitLab, Vault, and Foreman, across our hybrid estate and compute clusters.Responsibilities:Develop and maintain automation solutions using IaC, Python, Bash, and configuration management tools.Integrate automation into CI/CD pipelines to improve deployment efficiency.Investigate infrastructure issues, identify root causes, and implement automated fixes … Linux environments and resolving system issues.Experience building or supporting CI/CD pipelines, using version control, and applying DevOps practices in production environments.Proficiency in Python, Bash, or a similar scripting language, with experience using scripts to automate operational tasks.Experience working across hybrid environments (on-premises and cloud platforms such ...

analyst leads to translate unstructured questions into clear data requirements, analytical approaches, pipeline outcomes, and acceptance criteria.Perform sourcing, extraction, joining, transformation, and reconciliation using Python, SQL, and AWS-based tooling to support insights and downstream modelling.Governance, compliance and ethics: Ensure compliant use of patient/study , clinical data aligned with … needed).Standardization mindset: Ability to propose consistent definitions and mappings across heterogeneous datasets, balancing practicality, traceability, and reuse.Python and SQL: Strong capability using Python and SQL for profiling, reconciliation, validation, and data engineeringAWS analytics foundations: Experience working with AWS-based data environments (e.g., S3 and common query/processing servicesClear ...

domains for when you need support.What will you be working on Data Engineering Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management.Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across … relevance.Opportunity Identification Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation.QualificationsTechnical Expectations:Proficient in Python, with experience in automation and building data pipelines.Strong expertise in working with tools like DBT and Airflow for ETL processes.Skilled in using REST APIs ...

such as Ansible, Puppet, Terraform, GitLab, Vault, and Foreman, across our hybrid estate and compute clusters. Responsibilities: Develop and maintain automation solutions using IaC, Python, Bash, and configuration management tools. Integrate automation into CI/CD pipelines to improve deployment efficiency. Investigate infrastructure issues, identify root causes, and implement automated … resolving system issues. Experience building or supporting CI/CD pipelines, using version control, and applying DevOps practices in production environments. Proficiency in Python, Bash, or a similar scripting language, with experience using scripts to automate operational tasks. Experience working across hybrid environments (on-premises and cloud platforms such ...

that feed Zego's understanding of driving quality, context, and risk.Take ideas from hypothesis to production: prototyping in notebooks, then writing the production-grade Python and SQL that scales.Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted.Lead experiments, validate impact with data, and automate … signal, not just its numbers.Proven track record delivering data science or data engineering projects into production. You write production-grade code, not just notebooks.Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models ...

proven track record. 3+ years of experience in software development. Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript. Knowledge and experience with DevOps and software used in development pipelines (e.g. Github, Jenkins). Working knowledge of build systems, package managers … customizing static analysis security testing tools such as CodeQL and Semgrep. Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as well as modern systems and infrastructure languages such as Go and Rust Experience using LLMs or AI-assisted tools for security ...

when you need support. What will you be working on? Data Engineering Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management. Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across … Identification Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation. QualificationsTechnical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST ...

feed Zego's understanding of driving quality, context, and risk. Take ideas from hypothesis to production: prototyping in notebooks, then writing the production-grade Python and SQL that scales. Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted. Lead experiments, validate impact with data … just its numbers. Proven track record delivering data science or data engineering projects into production. You write production-grade code, not just notebooks. Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models ...

customer-facing or field roles. Proven success building and deploying AI/ML or data-intensive applications in production. Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems … REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI) Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge of Agentic development platforms ...

team developing next generation AI platforms, cloud native infrastructure, and intelligent agent based applications that support cutting edge scientific research. Key Skills & Experience Strong Python development experience FastAPI and backend API development Cloud platforms (GCP and/or Azure) Kubernetes, Docker, and cloud-native architectures CI/CD, Infrastructure ...

sprint planning. We make use of kanban and sprint cycles to plan and stay on top of output. Our target stack relies heavily on Python, containerisation, infrastructure as code, CI/CD and the Azure cloud. We work across the full spectrum of data sourcing and ETL to front … specialists. Has integrity, initiative, and is not afraid to express an opinion and offer new solutions. Technology skills required for the role Python – the central language in our stack. Experience working with multiple databases, relational and document‐based. Comfort working with large data sets, 100+ terabytes. Experience designing, developing ...

zoning, cabling, and data center hardware infrastructure, Hybrid cloud storage and backup services (AWS and Azure) supporting migrations and modernization, Automation, scripting (Bash/Python/Terraform), monitoring, reporting, and operational excellence initiatives. This infrastructure directly enables data availability, regulatory compliance, business continuity, and ransomware protection for the entire organization.About … optimizing for performance, security, compliance, scalability, and cost efficiency.Develop, maintain, and optimize automation scripts, workflows, and infrastructure-as-code (IaC) solutions using Bash, Python, Terraform, and complementary tools to provision storage, automate backups, orchestrate data protection, and reduce manual effort.Implement and manage immutable storage technologies, WORM (Write Once Read Many ...