226 to 250 of 1,072 Python Jobs in London

Expertise in AWS (RDS, SQS, SNS) or GCP; experience with integration platforms (SnapLogic, MuleSoft, Talend, TIBCO Informatica, etc.). Languages: Functional knowledge of JavaScript, Python, SQL, or Java. Architecture: Deep understanding of enterprise integration patterns (EIP), asynchronous architecture, and SaaS environments. Core Competencies Communication: Ability to translate complex technical concepts ...

framework. Other duties as assigned or needed. Skills You’ll Need 2+ years of professional software engineering or applied AI experience Strong proficiency in Python, with hands‐on experience integrating LLM APIs, building AI‐powered applications, or working with agent/automation frameworks Demonstrated ability to work directly with ...

world settings. Proven experience deploying and operating machine learning models in production at scale, including observability, reliability, incident management, and continuous improvement. Proficiency in Python software engineering, including production-grade, modular OOP design, testing, performance tuning, and debugging. Familiarity with MLOps and distributed systems, including training and serving patterns, batch ...

world settings. Proven experience deploying and operating machine learning models in production at scale, including observability, reliability, incident management, and continuous improvement. Proficiency in Python software engineering, including production-grade, modular OOP design, testing, performance tuning, and debugging. Familiarity with MLOps and distributed systems, including training and serving patterns, batch ...

transaction monitoring, and alerts review. Nice-to-Haves Familiarity with tools such as Alloy, Sardine, Elliptic, Sift, or similar vendors. Background in scripting (Python etc.) for deeper data exploration or prototyping. Experience in user-facing risk UX like transaction friction, user appeals, or dynamic KYC workflows. Understanding of global regulatory ...

plus. Strong data analysis skills, with the ability to interrogate large and complex datasets to surface meaningful insights. Proficiency in SQL and Python for data querying, transformation, and validation. Experience with other languages and technologies (e.g., KDB/q) is a plus. Ideally, familiarity with TabPy and Gen AI integrations ...

reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders ...

predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming ...

strong attention to detail. Proven track record of stakeholder relationship management, communication, and cross-team collaboration. We’d love to see: Strong proficiency in Python (Pandas, NumPy, and data visualization libraries). Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models. Basic understanding ...

modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development – Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication – Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. ...

Physics, or a related quantitative field Experience in electronic trading or a similar role in financial markets Strong programming skills in C++, Java, or Python, with experience in low‐latency environments In‐depth understanding of market microstructure, order types, and exchange connectivity Proficiency in statistical analysis and machine learning techniques ...

/Greeks, model assumptions/limitations, and market microstructure. Experience with front‐office platforms such as SecDB, Athena, Quartz, or equivalent. Strong programming in Python and/or C++; experience architecting maintainable, testable, high‐performance codebases and extending large‐scale libraries; proficiency in numerical methods and performance tuning. Proven experience ...

practical skills in modeling and statistics, enabling you to design reliable and meaningful solutions. Engineering Excellence : You’re skilled in writing production-level Python code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable. You have both read and written some SQL in your time ...

skills, with the ability to build relationships across diverse teams and senior leadership. Education & Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision‐making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within ...

serverless technologies.* Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‐premise platforms.* Experience building automation and engineering tooling using Python, Go, or similar languages.* Certifications such as CISSP, CCSP, or cloud security accreditations are appreciated but not required.**Why This Role Matters...**This team ...

high level) Experience shipping AI products where output quality is probabilistic: you know how to define “good enough” and iterate from there Comfortable reading Python notebooks and SQL to interrogate model outputs and usage data Track record of shipping AI products where you managed the tension between ML research/ ...

business impact Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow Strong Python skills, with the ability to write clean, modular, production‐grade code, and a solid understanding of data engineering and MLOps principles Ability to lead ...

data science or research. Extensive technical experience in applying data science, statistical modelling, and machine learning techniques. Expert understanding of statistical programming languages , especially Python and/or R, for data analysis and model development. Proficient in SQL development and knowledgeable about database and data warehousing technologies. Experienced with cloud ...

/Greeks, model assumptions/limitations, and market microstructure. Experience with front-office platforms such as SecDB, Athena, Quartz, or equivalent. Strong programming in Python and/or C++; experience architecting maintainable, testable, high-performance codebases and extending large-scale libraries; proficiency in numerical methods and performance tuning. Proven experience ...

optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds ...

management, organization and communication skills Experience contributing to and overseeing large-scale rollouts and infrastructure initiatives. Expertise in several of the following areas: robust python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring ...

skills, with the ability to build relationships across diverse teams and senior leadership. Education & Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision-making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within ...

data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance ...

Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves.* Expertise in Python in AI/ML frameworks and libraries.* Demonstrated ability to understand and engage with a complex business domain — capable of sitting with non-technical professionals ...

Role: Full Stack Developer Client: Leading FinTech Firm Compensation: Up to £180k + Bonus Location: London (Hybrid) Overview We're working with a top-tier FinTech client who is looking for outstanding Full Stack Developers ...