326 to 350 of 1,224 Python Jobs in London

engineering teams to enable better decision making Your Skills and Experience Strong commercial experience as a data engineer in modern, cloud based environments Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks Experience building and maintaining data pipelines in AWS using services such as S3, Glue ...

hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector ...

years in data engineering or data architecture, with at least 3 years in a leadership position Expert-level Databricks, Azure and SQL/Python Proven track record of refactoring legacy estates onto modern platforms without breaking things GCP and BigQuery experience is a strong advantage High EQ, comfortable presenting ...

Consumer Products, Retail, Energy, Utilities, Telecommunications or Public Sector would be useful but not essential Programming Experience - Skilled in using programming languages such as Python Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning. Data Visualisation Experience - Utilise visualisation tools such as Power ...

Computer Science, Data Science, or a related field (or equivalent experience) Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills ...

models. High level of statistical literacy, including experimental design and model interpretation. Practical experience using SQL and/or analytical programming languages such as Python or R. Experience with data visualisation tools such as Tableau or similar BI platforms. Confidence translating complex data into clear, business-focused recommendations. What They ...

clients and collaborate with internal teams. Experience with SQL, monitoring tools, or Grafana is a plus. Some engineering experience would also be advantageous (i.e. Python). ...

approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data ...

TeamCity and CodeDeploy. You'll also need: A good understanding of machine learning approaches and algorithms Experience using programming and scripting languages, including Python and Bash Financial services knowledge and the ability to identify wider business impact and risk opportunities and to make connections across key outputs and processes Good ...

Strong commercial backend engineering experience with hands-on Go exposure - Go is the primary language, though we'll consider engineers whose background is in Python provided they have practical Go experience Solid understanding of microservices architecture and REST and/or gRPC API design Comfortable working with AWS and Docker ...

8+ years of experience in data modeling in the property and casualty insurance industry. Proficiency in SQL, data modeling tools and languages such as Python and UML. Strong analytical thinking is essential for creating efficient and scalable data models that meet business needs. Proven experience as a Data Modeler preferably ...

Physics Excellent logical reasoning and problem-solving ability Experience applying data science or modelling techniques in a commercial environment, or strong academic project experience Python experience is essential, with openness around other tools and technologies Ability to communicate complex ideas clearly and reason through problems out loud Motivated, curious ...

candidate should have the following essential skills A minimum of 11 years of deep Linux experience (20+ years preferred) Advanced proficiency in Bash and Python, with the ability to write bespoke tools to improve system efficiency. Practical experience with AWS or Azure migrations and managing virtualised environments via VMware. ...

maintaining production-grade product features. Data & Pipelines: Experience building ingestion workflows and connecting disparate internal data sources. Stack Versatility: You are highly proficient in Python ( FastAPI ) and TypeScript ( React/Next.js ), with a solid grasp of SQL and GCP . The Profile The Practical Automator: You have a track record ...

engineering or hands-on data architecture, with at least 3 years in a leadership position. Expert level proficiency in Databricks, Azure and SQL/Python, with GCP and BigQuery experience highly desirable. A proven track record of refactoring legacy data estates and migrating them to modern platforms without disrupting business ...

complex technical challenges in a scale-up setting. YOUR SKILLS AND EXPERIENCE Required: 5+ years' experience in data engineering or software engineering roles Strong Python and SQL capability Experience building data platforms in AWS Excellent data modelling fundamentals (non-negotiable) Experience working in smaller companies or growing environments Engineering-first ...

deliver under pressure Comfortable juggling multiple projects and 'controlled chaos' at pace Nice to have Experience integrating Azure AI Services or OpenAI APIs Python exposure, particularly in AI or data-driven contexts Low-code/no-code tools (e.g. Webflow) for rapid prototyping Client-facing experience presenting technical roadmaps ...

Data Engineering Clear, demonstrable experience leading engineers at Lead/Principal level Deep, hands-on GCP experience (this is essential) Strong SQL and Python expertise Experience building cloud-native data platforms end-to-end Strong background in Data Lake/Warehouse architecture Proven experience implementing CI/CD and infrastructure ...

Vault), and secure SDLC integration - PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments - Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them - MITRE ATT&CK coverage mapping; threat hunting, adversary emulation ...

critically assess methodology, limitations, and real-world implications of analytical outputs Confidence communicating complex findings clearly to both technical and non-technical stakeholders Python experience for statistical analysis and reproducible research workflows A PhD or advanced academic background in a relevant field is advantageous, but not essential if you bring ...

their ML infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model ...

models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic AI systems and integrating models with external services Comfortable ...

Private Equity, Venture Capital, or high-growth startups Understanding of SaaS metrics (ARR, churn, NDR, unit economics) Exposure to AI tools, automation, or coding (Python, SQL, JavaScript basics) Ability to bridge technical and business perspectives Interest in buy-and-build/software roll-up strategies What You’ll Get Direct ...

Nice-to-have Prior experience in insurance, financial services or another regulated industry. Familiarity with claims management systems, policy administration platforms or related workflows. Python for automation, tooling or data engineering support. Experience stepping into or transitioning from an enterprise architect or solutions architect position. Active use of AI coding ...

Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL – Extracting and querying data from databases Python 3 – One of the most widely used languages in data analysis Tableau – Creating dashboards and data visualisations Study time: Approximately 30–60 hours Assessment: Course ...