2,426 to 2,450 of 4,710 Python Jobs in London

Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals ...

Studio, Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI Assistants Exposure to security frameworks: OWASP, MITRE ATT&CK/ATLAS, NIST Any experience with Python or .NET, even from coursework or personal projects Experience with cloud platforms (Azure, AWS) at any level Signs that you enjoy technical problems beyond your ...

management,encryption, cryptographic controls, and threat intelligence tools. Proven ability to automate and optimise security operations using scripting and infrastructure automation tools such as Python, PowerShell, Shell scripting,Terraform, Ansible, or equivalent technologies. Demonstrable experience troubleshooting complex network and security incidents in large-scale enterprise environments, including supporting live operational ...

equivalent industry experience. Experience performing code reviews or code-assisted testing, particularly in Java and Go. Experience in automation of security testing (e.g. using Python or Go). Excellent verbal and written communication skills. Interview process Interviewing is a two way process and we want you to have the time ...

such as n8n, Tray.io, Workato, or Zapier, and in agentic patterns using LLM APIs from Anthropic, OpenAI, or similar. Confident hands-on coding in Python and TypeScript, comfortable building REST and webhook integrations, testing APIs (for example with Postman), and working with version control and basic CI/CD. Working ...

strongly recommended. Experience with eCommerce, CDN, DNS, WAF or Web Hosting is strongly recommended. Experience with scripting in various languages (PowerShell, Python, Bash, etc.) against REST APIs is strongly recommended. Proficiency in English is required. Ideal Candidate Profiles, Talents, and Desired Qualifications: Demonstrate strong verbal and written communication skills, excellent ...

Transformers, large language models) Experience applying ML in real-world, noisy, and adversarial domains, such as trust & safety, fraud, or abuse detection Proficiency in Python and experience writing production-quality code, with a solid understanding of data pipelines, model training workflows, and MLOps practices Demonstrated ability to own problems ...

equivalent industry experience. Experience performing code reviews or code-assisted testing, particularly in Java and Go. Experience in automation of security testing (e.g. using Python or Go).Excellent verbal and written communication skills. Interview processInterviewing is a two way process and we want you to have the time and opportunity ...

object-oriented programming. Full-Stack Exposure: Familiarity with web app development, including proficiency in at least one modern backend language (e.g., Java, C#, Go, Python) and a basic understanding of relational databases like MySQL or PostgreSQL.AI Coding: you are comfortable coding with either Cursor or Codex/Claude/Open ...

Strong understanding of integration technologies, APIs, data exchange protocols, and cloud-based systems. Intermediate expertise in web technologies and scripting languages, including JavaScript, Shell, Python, HTML, SQL. Experience integrating software systems through APIs. Global Business Insight Understanding of global business operations and cultural nuances, especially in diverse markets. Contract ...

building management reporting or analytics on top of platform data; working knowledge of SQL, APIs and modern data‐integration technologies, and some exposure to Python or ML platforms; an understanding of chart‐of‐accounts, enterprise structure and finance master data, and why it shapes everything downstream; and relevant cloud‐data ...

insights that support audit conclusions. Modern technology will be an important part of the experience. Depending on your work, this could include using Databricks, Python, SQL and AI-enabled audit solutions to investigate complex risks, generate insight and support better decision‐making. The programme develops highly transferable skills in analytics ...

tied to a real user need. We prefer short feedback loops to polished first attempts. We build the smallest thing that works. Stack: Python (Flask), Postgres, Celery and AWS (ECS, Lambda, SQS) on the backend; React and TypeScript across web and mobile; GitHub Actions for CI/CD. Experience with ...

with a meaningful portion spent on infrastructure or platform systems. Strong backend or systems programming experience in a production environment. Our working languages are Python, Go, and Rust; we welcome strong engineers from other compiled or object‐oriented languages (for example C++, C#, or Java) who are ready to work ...

background in Computer Science, Mathematics, Software Engineering, Physics or similar field. Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages. Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools. Strong written and verbal communication skills and ability ...

arguments, silent partial success, unbounded loops. Working knowledge of more than one agent harness, and opinions about where each of them is weak. Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. Experience diagnosing latency in a distributed request path. Comfort ...

enable delivery. Experience leading collaborative, outcome‐focused architecture reviews. 5. Hands‐On Technical Depth Strong background in modern programming languages and frameworks (e.g., C#, Python, TypeScript). Ability and willingness to write code, review pull requests, build prototypes, and validate architectural decisions through implementation. Proven credibility leading teams through example ...

deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems ...

QuestDB, OneTick, InfluxDB, TimeBase, or equivalent platforms, with the ability to partner with technology teams to shape architecture and drive enterprise adoption. Proficiency across Python, q/KDB, SQL, Spark, C#, and related engineering toolsets, with sufficient depth to guide technical decisions, challenge design options, and work effectively with engineering ...

shipping MVPs quickly. You are a Hands-On Builder: You can get under the hood with data and automation. You're comfortable with SQL, Python (or similar), APIs, workflow tools, or low-code environments to build a working prototype yourself. You're AI-Curious & Practical: You actively experiment with ...

models you developed that made it into production and materially improved risk, revenue, customer experience or operational outcomes. You love being hands on. Python is second nature to you, you’re highly capable in SQL, and you’re comfortable working directly with large, messy datasets without needing an analyst ...

waiting for direction. Experience with C# and Unity is beneficial. Experience with, or strong appreciation for, deterministic simulation systems are highly desirable. Familiarity with Python and/or ImGUI is a plus. Benefits Of Working At Sports Interactive Private Healthcare and Dental Plans. A range of Gym Membership options through ...

across all data and research activity. Who We're Looking For A high-calibre data scientist and data leader with strong technical depth — advanced Python and/or R, SQL, data engineering and pipeline building, applied statistics/ML, and modern dashboards/BI — with the judgement to architect systems ...

building management reporting or analytics on top of platform data. Working knowledge of SQL, APIs and modern data‐integration technologies, and some exposure to Python or ML platforms. An understanding of chart‐of‐accounts, enterprise structure and finance master data, and why it shapes everything downstream. Relevant cloud‐data ...

Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector storesProgramming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents)Enterprise AI Architecture: Designing AI systems for regulated ...