426 to 450 of 469 Data Pipeline Jobs in London

seeking Senior Python Developers with proven experience building trading and risk systems within investment banking. You will develop Back End services, data processing solutions and risk-focused applications supporting trade life cycle, risk calculations and reporting. Key Responsibilities Develop and enhance Python applications for trading and risk platforms … Build data pipelines and automation for trade, risk and reconciliation workflows Process large financial datasets supporting PnL, risk and regulatory reporting Contribute to architecture, scalability and system design decisions Partner with quants, traders and risk teams to deliver technical solutions Develop and integrate REST APIs and Back ...

market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group … interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform. The Group operates from more than 60 offices in 27 countries. ...

Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops … data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. ...

everyone, everywhere. More about what we offer. Job DescriptionWe are seeking a quantitative researcher or quantitative developer to join our Treasury FX Data Science team. You will help build and operate the models and production systems behind FX pricing, risk and trading. Your work will have a direct … impact on Wise's mission and millions of our customers. About the Role: You'll join the Treasury FX Data Science team, helping own the quantitative models and production infrastructure that power how Wise manages FX risk across USD 250bn+ in annual FX volume - serving everyone from retail ...

everywhere. More about our mission and what we offer. Job DescriptionWe are looking for a Senior Software Engineer II with deep systems thinking, data engineering expertise, and a product-oriented mindset to join our Treasury FX function — spanning both the Market Data and Risk Engineering teams. … quant models for VaR, beta-adjusted exposure management, dynamic pricing and FRP cancellations. Owning Kafka topology design and schema evolution across the full pipeline: rate ingestion risk calculation trade execution analyticsDriving technical roadmap across both teams, mentoring IC2/IC3 engineers, and leading incident response for Tier-1 critical ...

conferences. Build and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams. Help customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application logic and AI capabilities. Guide startups on implementing … Developer Advocate) within the cloud computing industry. Experience designing, architecting, and deploying cloud-native applications, containerized environments (Kubernetes/GKE), and modern data pipelines. Preferred qualifications: Experience working directly within or as a technical advisor to high-growth, venture-backed startups or scaleups. Background as a CTO, lead ...

site p/week Active SC required Up to £700/d inside ir35 3-year engagement Experience required in Model Development, Data Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning … Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing and experimentation to improve model performance Collaborate with cross-functional teams ...

site p/week Active SC required Up to £700/d inside ir35 3-year engagement Experience required in Model Development, Data Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning … Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing and experimentation to improve model performance Collaborate with cross-functional teams ...

improve outcomes for customers by optimizing and automating business decisions. We work at the intersection of Economics, Machine Learning, Statistics, and Data Engineering, a highly engaging space where ideas directly shape how our stores operate and evolve. We are a high-impact, autonomous, cross-functional team (Economists/… help define and lead the technical direction of economic projects. Key job responsibilities* Build and extend the Factory of Economics: automate and accelerate data pipelines, platforms, and tools, including ML and LLM capabilities, to scale innovative science products.* Collaborate with economists to shape technical project requirements and direction. ...

experience working with functional and non-functional requirements Knowledge of vulnerability management and security scanning technologies experience working with large datasets and complex data pipelines Strong stakeholder management and communication skills Desirable experience Exposure to security or vulnerability scanning technologies such as: Nessus Nexus IQ Checkmarx Netsparker/… . Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices. ...

execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model. A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven … templates and playbooks that make every engagement faster than the last. What You'll Be Doing Building working AI proofs on real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent ...

requests. Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries. Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs … aligned with Forward Deployed Engineering (FDE) organization, architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. ...

initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine … learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering ...

initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine … learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering ...

days a week onsite)Up to 90,000 + benefitsWe're partnered with an early-stage technology business that is building the data infrastructure to power automation across a global, multi-trillion-dollar industry. Backed by leading investors, they're tackling complex problems in a market that touches … millions worldwide. They are looking for a talented Software Engineer with a passion for accuracy, automation, and solving hard data challenges. This is a unique opportunity to join an experienced founding team and help design systems that transform how businesses operate at scale. Responsibilities as a Software Engineer ...

years managing Product Management teams. Experience in forward-deployed models or top-tier technical consulting/implementation. High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance. Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers … Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real ...

through to booking, enrichment, reconciliation and analytics. This is a hands on engineering role where you will own production systems, improve reliability, optimise data flows and help shape the architecture behind one of the most advanced trading environments in the industry. The environment is deeply technical, collaborative … quality driven, with strong expectations around software engineering standards, data integrity, and scalable distributed design. Core Requirements• Strong Computer Science background with 5 years Python engineering in trading or post trade domains Proven experience building data intensive services and working with PostgreSQL and data ...

Project description Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Project is a strategic automation and operational resilience initiative focused on automating 350+ manual operational jobs that people … Python. Hands-on production experience. AWS Services Lambda, Step Functions, S3, APIs/EventBridge. Practical, hands-on experience (not certification-only). Data Pipelines & Scripting Understanding of data pipelines. Comfort with scripting (Python, Bash, etc.). Infrastructure as Code (Ideally) Terraform, CloudFormation, or equivalent. Foundational level ...

Sector: Infrastructure Engineer, Platform Engineer, Data Platform EngineerReference: GG - 73Founding Infrastructure Engineer | Early-Stage AI Start-Up | LondonFounding Infrastructure Engineer required to join an ambitious early-stage AI start-up in London, building the infrastructure behind next-generation AI products. Join a high-calibre engineering team, taking significant … production infrastructure supporting AI-powered productsStrong experience with cloud infrastructure (AWS, GCP or Azure) and modern infrastructure toolingSolid understanding of security, access controls, data protection and complianceHands-on experience with reliability, observability, database performance and data pipelinesA proactive engineer who takes ownership, sets high standards ...

autonomy and technical ownership over time. As part of the team, you will work on some of the following: Design, implement, and maintain data pipelines for machine learning training and inference. Develop and improve workflow orchestration and infrastructure components (e.g. scheduling, resource allocation, data movement, filesystems … Computer Science, Engineering, Applied Mathematics, or a related field, or equivalent practical experience. Strong foundations in computer science (e.g. algorithms, data structures, operating systems, distributed systems).Experience developing software in at least one language such as Python, C++, or Rust. Familiarity with writing, testing, and maintaining production‐quality ...

related technical field, or equivalent practical experience. 5 years of experience in software development, including experience with Python. Experience with the research-to-deployment pipeline in a frontier AI environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers … interpretability and probes. Knowledge of AI control, chain-of-thought monitoring, faithfulness, monitorability, and related frontier safety research. Responsibilities: Build advanced classifiers and data pipelines to detect misuse, and own the end-to-end process from automated evaluation to rapid model iteration. Build cross-context monitoring systems ...

related technical field, or equivalent practical experience. 5 years of experience in software development, including experience with Python. Experience with the research-to-deployment pipeline in a frontier AI environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers … interpretability and probes. Knowledge of AI control, chain-of-thought monitoring, faithfulness, monitorability, and related frontier safety research. Responsibilities: Build advanced classifiers and data pipelines to detect misuse, and own the end-to-end process from automated evaluation to rapid model iteration. Build cross-context monitoring systems ...

related technical field, or equivalent practical experience. 5 years of experience in software development, including experience with Python. Experience with the research-to-deployment pipeline in a frontier AI environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers … interpretability and probes. Knowledge of AI control, chain-of-thought monitoring, faithfulness, monitorability, and related frontier safety research. Responsibilities: Build advanced classifiers and data pipelines to detect misuse, and own the end-to-end process from automated evaluation to rapid model iteration. Build cross-context monitoring systems ...

strategies. The position sits within a front-office-aligned engineering function, working closely with quantitative researchers and traders to develop the software and data infrastructure used throughout the research and trading process. The focus is on building well-engineered Python applications, improving existing systems and taking responsibility … developing and maintaining the technology supporting systematic trading strategies across equities and credit. Develop and maintain production Python applications, research tooling and financial data pipelines used by quantitative researchers and traders. Work closely with investment teams to translate research requirements into reliable, scalable software. Take ownership of applications ...

execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model. A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven … templates and playbooks that make every engagement faster than the last. What You'll Be Doing Building working AI proofs on real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent ...