901 to 925 of 1,015 Data Pipeline Jobs in London

MoM, with plans to expand into Europe which will fuel their current growth. Their platform is redefining how consumers interact with finance, combining intuitive design, powerful automation, and data-driven personalisation. With millions of transactions processed each month, they are now building a world-class financial infrastructure to support global expansion. To help deliver this, they are hiring … The Role Reporting directly to the CEO, you'll be responsible for building the FinOps function from the ground up, creating the processes and systems that ensure money, data, and reporting flow smoothly across the business. This is a hands-on, high-impact role for someone who thrives on collaboration, loves solving complex operational problems, and enjoys blending … Strategy, you'll also own the product flow itself and how it integrates with finance. You'll sit at the heart of how the business scales, turning financial data and product logic into one connected system. Key Responsibilities Design and build the FinOps infrastructure, automating the flow of funds and data across billing, payments, and customer More ❯

managers, quant researchers, and the Chief Risk Officer to develop a sophisticated risk platform that drives capital allocation across a diverse range of global strategies. Develop high-throughput data pipelines for market, trade, and reference data, with a focus on achieving sub-second latency. Create intuitive, web-based dashboards for portfolio managers and risk officers to … years of experience building production systems in a front-office trading, hedge fund, or high-growth tech environment. Python skills for numerical computing, along with strong data engineering fundamentals. Experience with C++ or Rust is welcomed. Familiarity with risk concepts such as VaR, sensitivities, and margin, as well as an understanding of market microstructure. Compensation More ❯

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What were looking More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

to guide small, inexperienced client teams in a collaborative yet authoritative manner. You will play a key role in shaping and delivering solutions built on open-source technologies, data pipelines, vector stores, and Generative AI (GenAI) capabilities, with an emphasis on integrating Large Language Models (LLMs). Key Responsibilities Leadership & Collaboration: Lead and mentor small client teams with … clearly to technical and non-technical audiences. Build strong relationships with client stakeholders, ensuring alignment on objectives and expectations. Technical Delivery: Design, implement, and document end-to-end data and GenAI solutions using open-source and cloud-based components. Develop and maintain data pipelines, vector databases, and LLM integrations. Configure and optimize solutions on Microsoft Azure … communication and presentation skills. Strong team player with a collaborative, mentoring mindset. Hands-on experience with open-source technologies across front-end and back-end systems. Proficiency in data pipelines, vector stores, and Generative AI/LLM implementations. Working knowledge of Microsoft Azure Cloud services, including configuration and deployment. Strong documentation and reporting skills. Desirable Current DV Clearance More ❯

entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives … for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world's largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

ahead of real-world cyber threats. As a Senior Backend Engineer , youll play a key role in building scalable, high-performance backend systems that ingest, process, and serve data on millions of assetshelping global security teams uncover exposures before attackers do. What youll be doing: Designing and building backend services and data pipelines powering a cutting … edge cybersecurity platform Architecting scalable microservices and APIs to process massive volumes of security data Working closely with product and frontend teams to integrate backend services into the platform experience Continuously improving systems performance, deployment, and monitoring as the company scales globally What theyre looking for: 5+ years experience designing and maintaining mission-critical backend applications Strong Python … practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if youve worked with: large-scale data processing, ETL pipelines, cloud deployments, or DevOps/CI-CD practices. Why join? ? Competitive salary + benefits ? Ownership and impact in a high-growth cybersecurity scale-up ? Work with More ❯

Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow … AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability … person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid education and More ❯

Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow … AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability … person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid education and More ❯

Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow … AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability … person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid education and More ❯

Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow … AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability … person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid education and More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

ISO 27001, SOC 2) ensuring we meet regulatory and customer trust requirements. Build and maintain relationships with auditors, ensuring smooth audit processes Address AI-specific compliance requirements around data usage, model governance Build a comprehensive security program that scales with our AI training and inference infrastructure Partner closely with engineering and Devops to embed "secure by default" principles … into our architecture and development lifecycle. Secure our model training infrastructure: distributed GPU clusters, data pipelines, training datasets Protect inference infrastructure: model serving endpoints, API gateways, and production deployment pipelines Ensure secure model versioning, storage, and deployment practices Implement access controls and audit trails for sensitive training data and model weights Manage and scale our IT More ❯

looking for a Python Engineer to work directly with portfolio managers and traders in its front office team. This role is focused on delivering high-quality tools and data solutions to support fixed income trading and investment activity. This is a permanent position, based in London, offering a very competitive package. Build and maintain front office applications in … Python to support trading and decision-making. Engineer and manage data pipelines using technologies such as MongoDB, Snowflake, and AWS (or other cloud platforms). Ensure scalable, reliable, and high-performance systems that directly impact trading outcomes. Strong Python engineering skills. Direct front office experience working alongside PMs and traders. Familiarity with data engineering tools and More ❯

production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high … impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer More ❯