201 to 225 of 1,194 Python Jobs in London

and sprint reviews Comfortable taking projects from initial concept through to delivery Analytical thinker who can decompose challenges and deliver iterative value Preferred Background Experience using Java, C++, or Python Understanding of data-intensive systems, backend services, or cloud-based platforms Familiarity with regulated, high-security, or mission-critical development contexts Confidence working in research-led or exploratory project settings More ❯

a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with SQL, Python, or R for data analysis is highly desirable. Basic understanding of financial principles and metrics. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to More ❯

on the frontier of AI, keeping up to date with emerging tools and technologies to keep us at the edge of what's possible. Requirements Deep backend expertise with Python or Javascript. Strong knowledge of DevOps practices, including CI/CD, cloud infrastructure & observability/monitoring. Previous full ownership of a successful high volume system. Naturally articulate and able to More ❯

and direct connections. Design cloud-to-cloud and hybrid cloud architectures with a focus on security and cost optimization. Automation and Scripting Leverage automation tools and scripting (e.g., Ansible, Python, Terraform) to enhance network deployment, configuration management, and ongoing network operations. Develop network automation strategies to improve efficiency, reduce human error, and minimize downtime. Collaborate with DevOps teams to integrate More ❯

of engineers, fostering innovation, collaboration, and best practices . Translate business requirements into AI solutions and ensure responsible AI practices and high-quality outputs. Skills & Experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing More ❯

of engineers, fostering innovation, collaboration, and best practices . Translate business requirements into AI solutions and ensure responsible AI practices and high-quality outputs. Skills & Experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing More ❯

years of experience Extensive experience using Unix/Linux servers Ability to write advanced SQL queries and a strong understanding of relational databases Scripting experience e.g. bash/shell, python or similar Proficient with Microsoft Excel and other Microsoft Office products Experience with FIX Protocol Proven use of G.I.T or similar Excellent communication skills with an ability to explain technical More ❯

to key strategic initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong More ❯

Engineer, Cloud Network Engineer, Cloud Platform Engineer, Cloud Operations Engineer,or in a similar role. Technical expertise in virtual cloud firewalls (CheckPoint, Cisco) and cloud security best practices. Strong Python programming skills for automation, API integration, and orchestration. Proven knowledge of routing protocols (BGP, OSPF) and high-availability architecture. Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi More ❯

Engineer, Cloud Network Engineer, Cloud Platform Engineer, Cloud Operations Engineer,or in a similar role. Technical expertise in virtual cloud firewalls (CheckPoint, Cisco) and cloud security best practices. Strong Python programming skills for automation, API integration, and orchestration. Proven knowledge of routing protocols (BGP, OSPF) and high-availability architecture. Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi More ❯

Engineer, Cloud Network Engineer, Cloud Platform Engineer, Cloud Operations Engineer,or in a similar role. Technical expertise in virtual cloud firewalls (CheckPoint, Cisco) and cloud security best practices. Strong Python programming skills for automation, API integration, and orchestration. Proven knowledge of routing protocols (BGP, OSPF) and high-availability architecture. Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi More ❯

to key strategic initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong More ❯

advertising effectiveness across GB. You'll see results quickly, whether it's improving data quality, automating tasks, or building tools that surface insights. Career Growth: You'll work with Python, Go, SQL, PostgreSQL, BigQuery, Google Cloud, and DevOps practices. With dedicated study days and a supportive team, you'll accelerate your learning and development. Visibility: In a small team, your More ❯

Expertise Microsoft Certifications in Power Platform and/or Copilot. Previous RPA experience (UiPath, Power Automate Desktop, Blue Prism, Automation Anywhere). Knowledge of coding languages (e.g., .NET, JavaScript, Python) to extend low-code solutions. (Not essential though) Experience integrating Power Platform with Azure AI services or other enterprise systems. What Were Loo king For A natural leader and mentor More ❯

of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/ More ❯

practical experience with Agentic AI systems and Generative AI. Deep expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure). Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong understanding of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI More ❯

challenge them in the best ways The ideal candidate will: Know their way around AWS data tools (Glue/PySpark, Athena) and Microsoft Fabric Be able to write clean Python and SQL in their sleep Have battle scars from integrating CRMs (HubSpot, Salesforce) via APIs Actually care about data quality, not just "it ran successfully" Get a kick out of More ❯

of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/ More ❯

in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including More ❯

Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in London office) Private Medical Insurance (including Dental and Vision) and Life Assurance More ❯

UK credit bureau data and leveraging it for credit risk analysis. Experience or familiarity with end-to-end life cycle of a retail loan portfolio. Proficiency in SQL and Python for data analysis and risk modeling. Experience working with decision engines and credit risk platforms. Strong analytical skills with the ability to translate data insights into business decisions. Excellent communication More ❯

collect, clean, analyse, and present data to support strategic decision-making and influence business growth. Key Skills You'll Learn: Handling, cleaning and analysing data using Microsoft Excel, SQL, Python and more Data visualisation, reporting and storytelling Data engineering and modelling, and ETL pipelines Data governance & ethics, including data protection, compliance, and responsible AI use Your Career Starts Here At More ❯

decks and dashboards Excellent storytelling skills to communicate insights to key stakeholders within the business Advanced Excel, PowerBI, or similar Foundational knowledge of data querying languages such as SQL, Python Familiarity with SharePoint, Power Automate and MS Fabric Tertiary study in a related area (Data Science, Economics or Mathematics) beneficial Advanced MS Office suite skills (ie Word, Excel, Visio, PowerPoint More ❯

a Data Scientist, with exposure to productionised models Degree (BSc or MSc) in a quantitative or technical field (Statistics, Mathematics, Physics, Computer Science, Machine Learning) Strong programming skills in Python (production-level) and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS More ❯

in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in More ❯