1,201 to 1,225 of 1,510 Data Pipeline Jobs in London

Member of Technical Staff - AI Infrastructure/ML Platform Location | London (Hybrid) Comp | Highly Competitive + Meaningful Equity Focus | AI Infrastructure, MLOps, Data Platform, GPU Systems, Research Infrastructure, Scientific ML We’re partnering with a stealth AI4Science company building foundational technology designed to accelerate science. Backed by significant … world. Unlike traditional software environments, the infrastructure here sits directly underneath a scientific research engine: large-scale model training and inference, simulation, experimental data, GPU workloads and research workflows all need to work together reliably. They are now looking for a Member of Technical Staff focused ...

leverage your industry insight, proven track record, and knowledge of Google Cloud technologies. In particular, driving, digital transformation, modern infrastructure, and cutting-edge Data/AI solutions across our high-growth Mid-Market account portfolio. Using the wider technology consulting market to acquire new customers, the ideal candidate … successfully navigate their internal ecosystem to unlock resources.• Sales Acumen: Exceptional proficiency in modern sales methodologies with a strong discipline in pipeline hygiene and accurate forecasting.• Technical Literacy: Strong foundational knowledge of Google cloud infrastructure, data pipelines, and AI/ML capabilities, allowing you to speak credibly ...

industrial renaissance to advance critical technologies and secure our planet for generations to come. We’re starting with critical hardware for AI data centers to make them more performant and sustainable. Every Orbital product is invented with our AI platform — uniting AI-automated hardware engineering with AI-designed … Engineer at Orbital you will design, build and operate the core systems powering Curie. You will work across the full backend stack: APIs, data pipelines, graph databases, event-driven architectures and the infrastructure that connects our AI models to the tools our scientists and engineers use daily. ...

happy standing on site talking to teams about the root cause of a problem as you are developing bespoke tools, automation scripts, or data pipelines to solve the problem back at the office. You have the experience to know when traditional engineering tools are good enough. The sort … digital skills you have might include: Advanced construction or manufacturing planning software or business process simulation. Python for automation Data visualisation e.g. PowerBI , Jupyter Notebooks or JavaScript libraries Database development Computational design frameworks like Grasshopper/Dynamo AEC data integration tools ,e.g. Speckle Digital development ...

autonomyAbility to work on ambiguous and complex problemsOwn the technical roadmap and deliverables of your project end-to-end, embracing long-term ownershipUse data to define, prioritise and measure the success of the initiativesCollaboration, Communication and GrowthGreat communication skills and the ability to tailor communication style depending … payments, finance domainsExperience working with distributed SQL engines (e.g. Trino)Ability to build software solutions, APIs, or platform tooling on top of big data pipelines and analytical enginesFamiliarity with configuration-heavy domain where business logic is shared between data and codeInterested? Find out more ...

line in review. Fixing production problems calmly, usually with less tooling than you would like and someone waiting on you. Working alongside the data, AI and platform engineers so models, pipelines and infrastructure land as one product rather than three. Improving the day to day: CI/… code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures or data pipelines. Also Welcome Kubernetes. Deploying, running or debugging workloads, including K3s, RKE2 or OpenShift. Data at scale. Spark, Trino, Parquet, Iceberg or similar ...

line in review. Fixing production problems calmly, usually with less tooling than you would like and someone waiting on you. Working alongside the data, AI and platform engineers so models, pipelines and infrastructure land as one product rather than three. Improving the day to day: CI/… code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures or data pipelines. Also Welcome Kubernetes. Deploying, running or debugging workloads, including K3s, RKE2 or OpenShift. Data at scale. Spark, Trino, Parquet, Iceberg or similar ...

line in review. Fixing production problems calmly, usually with less tooling than you would like and someone waiting on you. Working alongside the data, AI and platform engineers so models, pipelines and infrastructure land as one product rather than three. Improving the day to day: CI/… code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures or data pipelines. Also Welcome Kubernetes. Deploying, running or debugging workloads, including K3s, RKE2 or OpenShift. Data at scale. Spark, Trino, Parquet, Iceberg or similar ...

proofs of concept, leveraging AI/Gen AI tooling to accelerate delivery ("vibe coding"). Build and integrate AI, Generative AI and Data-driven features into products. Work within an Agile environment, contributing to sprint planning, stand-ups and iterative delivery. Collaborate closely with product, design and data … DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data projects and tooling. Experience working in Agile delivery environments. Excellent communication skills and proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable ...

Falcon Smart IT Limited seeks a Senior Data Engineer in London, UK. The role is a 1-year fixed-term contract with a hybrid work model: 2 days per week in client offices and 3 days remotely. You will architect and develop data platforms, build robust … data pipelines, manage metadata, monitor performance, and ensure data quality while collaborating with business and tech teams to meet strategic goals. #J-18808-Ljbffr ...

performing team. THE COMPANY This growing specialist insurance business operates within the personal lines market and has built a strong reputation through its data-led approach to underwriting and pricing. Having invested heavily in technology, analytics and innovation over recent years, the company combines the agility … range of insurance products. Analysing portfolio performance and producing insight-driven recommendations. Supporting risk modelling, fraud analytics and underwriting initiatives. Working with data pipelines, reporting processes and pricing systems. Contributing to automation and AI-driven projects across the business. YOUR SKILLS AND EXPERIENCE 1-2 years' experience within ...

core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers our digital decision … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production ...

capabilities with architectural consistency. Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining …/GCP), container orchestration (Kubernetes), or distributed systems. Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups. Proven track record of presenting to and influencing executive-level stakeholders, with ...

cutting-edge AI capabilities and the specific needs of UK Government and defence organisations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with … contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teamsTranslate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plansNavigate government procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: Provide clear, timely, and objective communication across Cohere ...

Fosse-1 is seeking a Senior Data Engineer on a contract basis in London, hybrid working arrangement. The role focuses on evolving a cloud data platform, building robust data pipelines and implementing best practices across data infrastructure. Immediate start with an initial … month term and potential extension. The ideal candidate has strong experience delivering data platform improvements in cloud-first environments and can mentor engineers while collaborating with stakeholders. #J-18808-Ljbffr ...

Engineer, you will define the quality and verification strategy across CoMind’s entire software stack from embedded real-time systems to cloud-side data pipelines. You will move beyond task-level execution to architect the infrastructure and 'compliance-as-code' processes that provide the engineering team with high … 14971. Proven ability to design 'compliance-as-code' workflows that integrate risk controls directly into the CI/CD pipeline and automate regulatory evidence generation. Technical Proficiency: Advanced Python and C/C++; extensive experience building scalable test infrastructure for both embedded hardware and cloud-side data ...

optimise machine learning models for user personalisation, including recommendation engines, ranking algorithms, user segmentation, and content analysis Build and maintain robust, scalable data pipelines for feature engineering and model training using structured and unstructured large-scale datasets Deploy and supervise ML models in production environments to ensure high … monitoring and maintenance Proficiency in Python and knowledge of ML libraries and frameworks such as TensorFlow and PyTorch Experience with high-volume data processing and real-time streaming architectures Strong understanding of recommendation system design and personalisation algorithms Familiarity with Generative AI and its applications in production settings ...

here’s how we do it securely.” You’ll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn’t exist a few years ago This role is hybrid from our London office, reporting … identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors ...

cost, and reliability. Help shape repeatable build patterns so strong prototypes become faster, more reliable, and more reusable over time. Platforms and interfacesOwn data flows, APIs, services, model-serving surfaces, front-end and desktop application surfaces, continuous integration and continuous delivery (CI/CD), and demo hardening. Build … Minimum 3 years of hands-on experience in one or more of the following areas: backend services, APIs and integrations, full-stack delivery, data pipelines, model-serving or machine learning workflows, or agentic orchestration systems. Strong coding ability in Python plus one complementary engineering surface such as TypeScript ...

Contribute In this role, you will: AI Product Ownership: Own AI product capabilities through discovery and delivery, incorporating model behavior, data requirements, evaluation methods (evals), unit economics (cost‐per‐task, model selection, caching), quality, security considerations, and gross margin impact into product decisions. Strategy & Roadmapping: Develop and maintain … building functional prototypes and utilizing standard developer workflows (e.g., Git) to validate solutions. AI/ML Competency: Practical experience managing AI capabilities, including data pipelines, model evaluation (evals), and AI security guardrails. Discovery & Analytics: Strong foundation in customer research, competitive analysis, product analytics, and structured discovery frameworks (e.g. ...

that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. What do you need … growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. Additional InformationInterested? Find out more: How we work - a practical ...

that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. Qualifications What … growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. Additional Information Interested? Find out more: How we work ...

backend, and (most critically) developing and designing the very complex systems we use to manage, ingest, and process enormous amounts of personal data and serve agentic interactions. This means tackling some of the toughest engineering problems around (think early-stage Google!). The role the Founding Engineer plays … LLMs or other AI/ML. An ML, statistics, or mathematics background or experience. Major work on infrastructure-heavy projects, such as complex data pipelines. Work building desktop applications or front ends. Experience working on open-source projects, an interesting side project, or contributing to Stack Exchange ...

experience and ideas to shape a more efficient, flexible, and sustainable energy system. With an increase in variable and distributed supply, using data for trading and forecasting has never been more important. Octopus has always had a tech‐first approach, and our trading and analytics tools … built in‐house. We are looking for a data scientist who’s comfortable building data pipelines bringing together internal and external data to create market‐leading insights using both classical and ML techniques. This will include looking at demand, renewables and transmission system fundamentals ...

Accounting Center (WAC) & PRISM Consultant to support the delivery and optimisation of Workday Financials solutions. The role will focus on accounting transformations, financial data management, reporting, and integration of external data sources into Workday. Key Responsibilities Configure and enhance Workday Accounting Center (WAC). Design … maintain accounting rules, mappings, and transformations. Build and support Workday PRISM datasets and data pipelines. Develop financial reporting solutions and improve data quality. Work closely with Finance and Workday stakeholders to gather requirements and deliver solutions. Support testing, deployment, troubleshooting, and user adoption activities. Produce functional ...