326 to 350 of 556 Data Pipeline Jobs in London

enters the Genesis era ofgrowth and transformation under private equity ownership, the Group’s ambitionis to become a data- and AI-powered specialist-services platform where everyinteraction, acquisition and piece of expertise makes the firm smarter, moreefficient and easier to scale. The Director, AI Engineering leads the AIEngineering … Data Science function within the unified Tech-Ops operatingmodel, the engineering engine room that turns JTC’s AI & Agentic Strategy2030 into working, governed and value-generating systems. The postholder will build andlead the team responsible for AI/ML model development and agentic engineeringacross the three pillars ...

. Minimum qualifications Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 7 years of experience in software or data engineering, including programming in Python, Go, or Java, and experience with design patterns, testing frameworks, and API contract design. Experience in back-office clearance … quality. Experience in financial services, familiarity with the regulatory and operational rigors of clearing, settlement, or custody. Experience of FSI regulatory knowledge for data residency, encryption at rest/transit (CMEK), and explainable AI requirements in banking. Proficient in BigQuery, Vertex AI, Dataflow, and Pub/Sub. Strong ...

+ excellent benefits A leading technology-focused organisation is seeking an experienced AI Deployment Engineer to join its growing AI and data function. This is a highly technical, hands-on role forming the backbone of the company’s AI deployment capability, responsible for taking AI-driven solutions from … reliably across the business. The role is predominantly remote, with occasional on-site collaboration days in London. Key Responsibilities: Own and develop the data and integration infrastructure supporting AI deployments, including pipelines, storage and data delivery layers Design and implement robust integrations between AI solutions ...

engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined … align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge ...

join early as one of our first engineers. You will work with founders to build production software for grid operators, spanning backend services, data pipelines, frontend interfaces, cloud infra and AI evaluation systems. You will collaborate with planners, operators and engineers to translate real grid workflows into reliable ...

systems experience to join early on as one of the first engineers. You will build production software for grid operators, spanning backend services, data pipelines, frontend interfaces and cloud infrastructure. The role blends power engineering with applied AI and close customer collaboration. You will work directly with founders ...

engineering plans, and guide a hands-on team of engineers toward scalable, high-quality delivery. You will design Django-based microservices, APIs, and data pipelines, while championing best practices, performance, and reliability in a Kubernetes environment. #J-18808-Ljbffr ...

hiring to advance agentic AI by building and refining large language and vision-language models. You will lead research and engineering efforts across data pipelines, backends, and multi-node distributed training to push capabilities in complex environments. The role emphasizes SFT, RLHF/RLVR and reward modelling, with ...

platform; we’re hiring a Senior Engineering Manager to lead the Manage Squad, responsible for the best-in-class event registration platform, payments, data pipelines and on-site tech. You will shape architecture, delivery cadence and AI-first development. Reporting to the CPO, you will mentor four engineers ...

backend AI platform engineer to design, code, and lead delivery of scalable AI-powered solutions in production. You will build scalable backend services, data pipelines, and APIs to support real-time and batch AI workloads at enterprise scale. The role requires deep expertise with cloud platforms, containerization (Docker ...

Operations Analyst who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would evaluate the current risks the organisation faces, interpret risk appetite and monitor and control for these risks. The Payment Operations … that support the organisation’s risk appetite and build control assurance models around our risky payment processing flows. You will also own the data behind the reconciliation of bank balances and customer funds to ensure that there are no material financial discrepancies. You will own the relationship with ...

internal tooling. Provide sound technical recommendations to the Senior Manager, clients, and internal stakeholders, evaluating options and trade-offs. Own technical design decisions, data models, and integration patterns; document and communicate them so others can build against them. Help define technical standards and pragmatic build/buy/… adopt AI-driven solutions effectively and responsibly. Hands-on development (full stack) Write production-quality code across front end, back end, and data layers. This is and remains a genuinely hands-on role. Build and integrate APIs, data pipelines, and tooling that turn actuarial and financial ...

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data … deployed. Your work will directly influence how we build Astro, Observe and our IDE product, as well as how global organizations orchestrate data pipelines at scale—making them faster, more reliable, and easier to manage. If you’re driven by impact, excited by scale, and ready to work ...

leader with deep technical expertise, a strong understanding of advertising effectiveness and the ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams. Your Mission You will be responsible for the strategic direction of our triangle of measurements, ensuring it provides the best … strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models. Collaborate effectively with marketing channels, data science and data engineering, and other cross-functional teams to identify and prioritise key business needs in our measurement products. Manage ...

/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data visualisation tools (e.g., PowerBI, Tableau) and dashboard development ...

e.g., Python, Python API, Java,SQL ) and engineering frameworks Work with distributed systems and cloud platforms to support scalable, reliable deployments Assist with data preparation, prompt configuration, and model integration for AI-driven solutions Troubleshoot and resolve technical issues during development and deployment Client Delivery Support Work alongside … production, ensuringsolutions are scalable, supportable, and can be transitioned effectively to production engineering teams Skill Requirements Bachelor's degree in Computer Science, Engineering, Data Science, or related field Total 15+ year of Experience in Client Facing - AI Implementation Cloud platforms Application interfacesas Solution Architect. 5+ years of proficient ...

About the Company Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning models to optimise prices and store operations, personalise customer experiences, and drive innovation. We work across several business domains, including customer experience … fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact. About the Role As a Data Scientist you will develop and deploy machine learning solutions that directly impact how we optimise decisions, serve our customers and run our business. ...

Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom Corporate Functions At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team … Swift, and Java, with the ability to contribute production‐quality code across Apple's technology stack Experience building and operating enterprise‐grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on‐prem environments Preferred Qualifications Demonstrated ability to deliver ...

company that’s tackling one of the biggest challenges in energy today. They’re building a new approach to natural exploration, using advanced data, geoscience, and cloud tech to drive smarter decisions. They’re now looking for a Senior Data Platform Engineer to take ownership … their growing platform and help scale it as the business expands globally. What you’ll be doing This Senior Data Platform Engineer role sits at the heart of a multidisciplinary team of scientists, analysts, and engineers. You’ll work closely with them to turn complex workflows into robust ...

production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers … self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build ...

Have HPC & Cluster Management: Experience handling large‐scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestration Data Engineering: Expertise with data pipelines, ETL systems, and large‐scale data processing frameworks Systems-Level Programming: Experience with low‐level systems ...

WHAT YOU’LL BE DOING Strategy & Metrics Own the Numbers: Define, track, and socialize the core KPIs and OKRs for your product. Enable Data: Own necessary data logging and ensure pipelines are built for accurate product tracking. Drive Insights: Conduct deep-dive analysis to identify … Expert-level SQL skills with experience querying, manipulating and transforming large, complex, and relational datasets into functional pipelines. Experience designing and building automated data pipelines and transformations. Strong product thinking skills with the ability to translate customer needs into defining the right problem statements, success metrics, and opportunity ...

world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value … decision making. You align the technical vision with various stakeholders (primarily the engineering leadership layer). Design and scale backend services, APIs, and data platforms powering 9fin’s new market products Work on complex entity mapping and data modelling challenges across new market’s data ...

Infosys Limited in London is seeking a Senior Databricks Architect to design, build, and operate scalable data pipelines and data products that enable a modern data mesh. The role focuses on integrating legacy systems with cloud-native platforms for analytics, reporting, and domain-owned … data products, with hands-on work in Databricks, Kafka, and AWS S3. You will implement batch and streaming pipelines, apply the Bronze-Silver-Gold medallion architecture, ensure data quality and governance, and #J-18808-Ljbffr ...

/AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team: Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into … patterns, reference implementations, and starter kits so work done in one function can be picked up by another. Instrument solutions to capture outcome data against baselines. Work alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones. Support handover and capability-building ...