1,251 to 1,275 of 4,612 Python Jobs in London

world Experience working within a finance team and senior stakeholders Proficiency in writing robust, performant SQL queries Some experience building robust data pipelines, using Python and dbt Strong analytical skills, commercial interest, and the ability to distinguish between what matters and what doesn't Experience working in a fast-paced … dynamic environment Comfortable manipulating and analysing data in a scripting language Our tech stack Python as our main programming language DBT for data modelling Databricks as our datalake platform Kubernetes for data services Orchestra for task orchestration Terraform for infrastructure Lightdash for data applications Airflow and Astronomer for job scheduling ...

science problems. You’ll hit the ground running if you have: An advanced degree in Computer Science, Mathematics, Physics, or other quantitative discipline Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code. You worked in an R&D environment and/… understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps. Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Comfortable working with Docker and containerised applications Experience using AWS or similar cloud computing platform Experience ...

Stay up to date with emerging developments in data science, machine learning, AI, and cloud technologies. Required technical and professional expertise Required Skills: Advanced Python with hands-on experience across AI/ML frameworks including TensorFlow, PyTorch, and Keras. Strong understanding of foundation models, LLMs, generative AI, and modern … analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data & AI workflows Amazon QuickSight - BI, dashboards & visualisation Python, SQL, R & PySpark - Data science & analytics As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible ...

architectures Understanding of structured text formats: JSON, XML, CSV The below skills are nice to have: Exposure to programming languages such as Java, JavaScript, Python, and Go API definitions: Swagger/Open API 3 Shell scripting AWS or other cloud platforms’ administration Site Reliability Engineering, DevOps, or similar roles Infrastructure ...

specifications, define milestones, and ensure timely delivery using Agile methodologies. Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants. Identify opportunities to automate and remediate recurring issues, improving overall system reliability. Design … training or certification in software engineering concepts. Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT). Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability. Experience integrating AI/ML techniques ...

more years of DevOps, Site Reliability, and Infrastructure Support experience. Linux technical abilities (CentOS preferred) including shell scripting, Docker, and Ansible. Familiarity with Python (preferred) and/or Go or Ruby. Experience with cloud infrastructure such as AWS, GCP, VMware, and OpenStack. Understanding of CI/CD systems, GitLab ...

role in maturing Wayve's AI platform and helping bring autonomous driving technology into the hands of customers. Key responsibilitiesDesign, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve. Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows. … libraries for technical users. You care about clean abstractions, scalable architecture, reliability, and creating software that other engineers can depend on. Essential skills Strong Python programming experience. Proven experience designing, building, and maintaining software systems from concept through to delivery. Strong software architecture and system design skills. Experience building tools ...

have experience/expertise/knowledge in the following (in rough priority order): AWS Terraform/OpenTofu IAC Postgres CDC systems Kubernetes (EKS) Python Docker An interest or experience in data/network security would be a nice-to-have Datadog/Grafana/Prometheus Data related products (Airflow, Jupyter … varied and we're looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions Our Stack... Python as our main programming language Terraform for our infrastructure definition Kubernetes for data services and task orchestration Argo CD for application deployments Airflow purely ...

reporting is Power BI and Fabric, our applications are Power Apps and Power Automate, our integrations are APIs called from Fabric notebooks and Python, and there is an on-premise SQL estate underneath it all. The team is being rebuilt and grown, so you would arrive early enough to influence … when it needs to be quick, and being honest about which one you have delivered. Helpful, but not essential Microsoft Fabric — lakehouses, notebooks, pipelines. Python for automation and data movement. Row-level security in a multi-tenant or customer-facing context. Experience mentoring or reviewing more junior developers’ work. ...

Infrastructure as Code (IaC) is preferred Strong presentation and knowledge sharing skills Experience with modern application architecture and software design Strong scripting skills (Python, Java, JavaScript, GoLang) Experience with automated code pipelines (Concourse, GitLab, Jenkins, GitHub) Demonstrated ability to think strategically about business, product, and technical challenges Able to communicate ...

clear priorities and technical direction, balancing modernization, production stability, partner needs, and business-as-usual delivery. Build team capability in data pipelines, integration patterns, Python, SQL, orchestration, automation, observability, controls, and production support. Partner with Product, Engineering, Data Modelling, Data Quality, Content Acquisition, Enablement, and regional teams to deliver business … exception management. Demonstrable ability to modernize legacy workflows and move teams toward scalable, automated, supportable, and well-controlled operating models. Strong working knowledge of Python, SQL, orchestration tools, workflow platforms, automation frameworks, observability, and production support practices. Experience embedding data quality controls, reconciliation, completeness checks, timeliness checks, and exception workflows ...

scaled to match your experience and expertise. What you'll do Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated … reliability across distributed workloads What you need 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open ...

frameworks, and LLM APIs. Experience building APIs, services and data retrieval pipelines (RAG, vector search etc) to feed data into LLMs. Deep proficiency with Python for both data and ML engineering, SQL and major cloud providers. An extensive background in traditional ML engineering and a deep understanding … with Product/Design/Engineering and bring teams along on decisions. To share extra context, our current tech stack includes GCP, BigQuery, Airflow, Python, SQL on the Data side and AWS, Kotlin, Javascript, Typescript on the Product side while our infrastructure is containerised with Kubernetes. Experience across those technologies ...

Continuous Integration/Continuous Deployment (CI/CD) pipelines. Familiar with Linux, Git, and Docker, along with strong scripting abilities in languages such as Python, Bash, or Go; proficiency in at least one modern programming language is required. Experienced in defining Infrastructure as Code (IaC) using tools like Terraform ...

DHCP, routing & switching Experience with Cisco networking Terraform/Infrastructure as Code Strong Linux skills and understanding of the Linux network stack Python and Bash scripting Experience with Docker/Kubernetes Strong problem-solving and communication skills Salary: Up to 200k basic salary + bonus #J-18808-Ljbffr ...

product delivery processes from the ground up Building and leveraging AI technology to enhance product features and development workflows We build with technology like: Python & ML/LLM ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector … health support Equity Scheme (coming soon!) Requirements Strong experience delivering production AI/ML systems, supported by excellent software engineering fundamentals.Strong programming skills in Python and experience with typed application languages such as TypeScript.Practical experience with modern ML and LLM systems, including structured outputs, retrieval, tool use and evaluation.Strong understanding ...

maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala) Experience in designing highly scalable, efficient systems Effectively communicating results and outputs from the model and insights from analysis QUALIFICATIONS Post graduate degree/Bachelor … speaking to technical and business audiences and working globally Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python) Experience in designing highly scalable, efficient systems Familiarity with financial markets, financial assets and risk management practices is a plus ABOUT GOLDMAN SACHS At Goldman ...

rely on to analyse data, work with documents and automate research. You'll join the UK core team of around thirty people, working in Python on production ML and LLM systems that sit behind data-dense enterprise products. THE ROLE You'll report to the Head of Engineering … data and retrieval layer, the evaluation framework and the production platform. Design, build and ship LLM-powered features and multi-step agent workflows in Python, from prototype to production. Build document intelligence pipelines that extract, structure and reason over long, messy financial documents such as filings, decks, models and data ...

change that does not hold up. Preferred Qualifications Durable execution or workflow engines (Restate, Temporal, Inngest), or a comparable system you have built yourself. Python and LLM application frameworks (FastAPI, LangChain, LangGraph). Our GenAI service is written in Python and you will work in it. Observability and LLM instrumentation ...

data transfer model to retrieve and share sensor data at scale with partners Write infrastructure-as-code in Terraform and pipeline logic primarily in Python Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting Work on cloud-to-cloud and cross … lifecycle/state tracking and operational alerting Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus Proficiency in Python and Terraform Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer A product mindset: you think about ...

element, helping establish engineering standards across a small ML team. What they're looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with ...

know when a new technique is actually ready to use in production versus when it's still a demo. You have solid experience with Python and Java, and a good practical understanding of the current AI landscape — foundation models, prompting and evaluation techniques, and where AI genuinely helps versus where … landscape Participate in the agile process including stand-ups, planning, demos and retrospectives What we’re looking for: Must have skills/experience: Python Java A strong, current, practical understanding of the AI landscape (e.g. foundation models, prompting, embeddings, evaluation of AI-driven features) Experience integrating AI capabilities into production ...

testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation … models to real-world problems. Hands‐on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. ...

appropriate. Instrument traces, failures, latency, token use and cost, and implement suitable timeout, retry, rate-limit, concurrency and caching behaviour. Productise capabilities as maintainable Python services and APIs, delivering small improvements regularly and monitoring their impact after release. Integrate AI capabilities with data, backend and frontend systems and contribute … architectures or clinical data analytics and model evaluation. Technical Skills Demonstrated experience shipping LLM-enabled software used by real users or operational teams. Strong Python and software engineering skills, including typed data models, APIs, automated testing and maintainable system design. Hands-on experience with hosted LLM APIs, structured outputs, tool ...

primarily Terraform), with growing focus on container platforms and Kubernetes/OpenShift environments. Contribute to automation across containerised and on‐prem environments using Ansible, Python, and supporting tooling. Work alongside Development and Infrastructure teams to deliver new technologies and workflows into production, learning container‐native and GitOps patterns along … systems fit together, and you’ve operated them under real conditions, whether professionally or on your own time. Scripting and automation instincts - Bash and Python at a minimum; exposure to Ansible or Terraform is a strong plus. Familiarity with Git and basic CI/CD concepts; hands‐on experience with ...