1,076 to 1,100 of 1,512 Data Pipeline Jobs in London

About dunnhumbydunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca … Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.dunnhumby Network Alliancedna (dunnhumby Network Alliance) is an open, collaborative Retail and Commerce Media service designed to unify a fragmented market and unlock growth for brands, agencies and retailers. Operating ...

Operations at Fortinet manages systems and databases used by all the employees in Sales plus other departments. Over the past 10 years the data architecture and decisions from Sales Ops meant that our BI tools became first class, we are looking for someone to help us with … continuous search for better technologies. A core part of this role is helping build out our AI capabilities – the data infrastructure you administer will increasingly serve as the foundation of LLM powered tools. Responsibilities: Maintain API Jobs: our data comes from different places at Fortinet, most ...

become the most trusted reviews platform in the world. We will achieve this by being ready and willing to disrupt ourselves through innovation, data and insight and adding product professionals with ambitions that match our own. As Senior UX Researcher, you'll be the go-to expert … quantitative research agenda for your product areas, set the bar for statistical rigour across the team, and partner with Data Science to build a shared measurement culture. What you'll be doing: Research strategy & execution Design and own the quantitative research roadmap for your product areas, e.g. attitudinal ...

About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota … Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're building tools for the full Physical AI data stack — from data acquisition, through ingestion and curation at scale, to 3D rendering, annotation, and verification. You'll solve problems of large-scale ...

models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions … engineering and AWS-native MLOps. Key Responsibilities Technical Leadership & Architecture Define the end‐to‐end ML architecture for the matching platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems. Lead adoption of best‐in‐class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training ...

Solirius Reply, part of the Reply Group, is seeking an AI Data Scientist to build intelligent, data-driven products. You will design, develop and deploy machine learning models, collaborating with data engineering, analytics, product, and business teams to transform data into actionable … insights and high-impact AI solutions. You will explore large datasets, build scalable data pipelines, and monitor model performance while staying current with advancements in AI/ML to guide product decisions. #J-18808-Ljbffr ...

London, Notting Hill | 5 days onsite | £70,000 to £90,000 + equity We're hiring a Data Engineer to join a well funded early stage startup building complex data products for some of the world's largest Healthtech companies. You'll join a small engineering … team and take significant ownership over the data platform, working directly with the Head of Engineering and founders. What you'll be doing Building and owning production ETL/ELT pipelines in Python and SQL Working with LLMs and AI inside production data pipelines Building large ...

grow the ABF market beyond $40 trillion, we're building a future defined by speed, confidence, and innovation. By combining automated workflows, comprehensive data, and AI-driven insights, we transform complexity into opportunity, enabling our clients to unlock growth and stay ahead. The Data Science … Manager to lead our application of AI across the platform and the business. You will work on genuinely hard problems: structured finance data is complex, high‐stakes, and largely unstructured, and you will build systems that actually change how the market operates. This is not a research role ...

Data Annotation & Tooling Engineer Location: Remote (UK) Salary: DOE About the Role We're looking for a Data Annotation & Tooling Engineer to help build the high-quality datasets that underpin cutting-edge computer vision and AI systems. This is more than a traditional data … responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout the machine learning lifecycle, helping improve ...

standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future … industry experience in software engineeringDeep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands ...

Seven Investment Management LLP in London is seeking a skilled Data Engineer to design, build, test and release data solutions that support the business. Working within the data engineering team, you will deliver robust, scalable data pipelines and contribute to the modernisation … data platform, tools and processes. You will apply ETL/ELT techniques, develop data models, and implement governance and security standards while collaborating with stakeholders to meet regulatory requirements #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 ...

Data Science Festival is seeking a Lead Data Analyst to join a mission-driven tech team. This role involves taking ownership of end-to-end analytics strategy, designing scalable data models, and empowering teams with actionable insights. The candidate will lead data initiatives that inform business strategy and support product growth. Key responsibilities include building and optimising data pipelines and dashboards, and championing a data-driven culture through mentorship. The position offers competitive salary, private health insurance, fully remote flexibility, and enhanced parental leave. #J ...

Data Science Festival is looking for a Data Analyst to join its innovative tech team. In this fully remote role, you'll manage data pipelines, create impactful visualisations, and drive strategy through data insights. We're seeking candidates with 2+ years … experience, advanced SQL skills, and knowledge of data modelling best practices. Enjoy a competitive salary, a personal development budget, and the opportunity to shape our data strategy. #J-18808-Ljbffr ...

engineering practice Own the CI/CD strategy and build and release infrastructure across the software stack, including the multi-device test fleet, pipeline reliability, and artifact management Own the Yocto-based embedded Linux platform build and deployment, including the signed software update mechanism with rollback, hardware compatibility checks … engineering excellence in a regulated safety-critical environment and automate regulatory evidence generation to reduce time to submission Own cloud-side data pipelines and infrastructure-as-code, supporting data ingest, analysis, and MLOps workflows where required Coordinate cybersecurity workstreams, working closely with IT and QARA teams ...

London Stock Exchange Group is seeking a Senior Cloud Data Architect to drive the data architecture across Risk Intelligence products. You will design secure, scalable data pipelines in cloud environments and mentor engineers to ensure alignment with product goals. You will collaborate with enterprise … teams to deliver high-quality data for prescriptive and predictive analytics, governance, and delivery roadmaps in a fast-paced environment. #J-18808-Ljbffr ...

crucial phase of growth and help change an industry for the better. About the team GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience … good sits around the model rather than in it. The prompting is rarely the hard part. Retrieval quality is, and so is the data feeding it, evaluation you can trust, sensible behaviour when things fail, and getting it live and keeping it there. The standards that matter most ...

working with a highly successful buy-side investment manager that's investing heavily in software engineering, data platforms and AI as part of a firm-wide technology transformation. They're looking for a Senior Software Engineer to join a small, high-performing team where engineers have genuine ownership … where you'll spend years maintaining a single application. You'll lead projects from design through to deployment, building modern business systems, cloud data platforms, APIs, automation and AI-enabled solutions that support the firm's investment platform. The business has embraced AI-assisted engineering, with developers actively ...

DATA is seeking a senior data engineering leader to deliver high‐quality, scalable data pipelines and architectures for clients in the UK. You will lead data engineering activities across ingestion, transformation, modelling, governance, and consumption, collaborating with analytics leadership to drive outcomes. … role requires 5–8 years in data engineering/architecture, 3+ years on Databricks, and a university degree. #J-18808-Ljbffr ...

Alto Software Group is seeking a Senior Data Platform Engineer to scale our data platform powering analytics and data products. You will lead lakehouse evolution, migrate from legacy SQL Server, and build reusable data abstractions to enable safe, scalable access for internal … external users. You’ll collaborate with product and commercial teams, implement IaC with AWS/Terraform, and drive engineering excellence across data pipelines using Databricks, dbt, and Kafka. #J-18808-Ljbffr ...

Fractal Analytics in London is seeking a Senior Data Analytics Consultant to lead client engagements, build data pipelines and dashboards, and enable marketing self-service data access. You will work hybrid, with on-site client interactions 2–3 days per week. The role requires ...

respond to. Show, don't tell. Deep Technical Leadership Bring sufficient engineering depth to guide technical design decisions - understanding the underlying AI models, data pipelines, deployment architectures, and integration patterns required to deliver AI solutions in a regulated financial environment. Work alongside engineers and architects on AI model … security, compliance, reliability, and maintainability. Maximiser the value of Citi's existing technology investments - spanning core Fund Services platforms, accounting engines, enterprise data infrastructure, operational tooling, and the full suite of approved AI platforms and capabilities available across the organization. Partner with the Transformation Team Work closely with ...

London The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. … boxed into a single layer of the stack; the best people on our teams move fluidly between building a feature, hardening a pipeline, fixing an infra issue, and automating away the next one. If you're the kind of engineer who picks up a new tool, library, or part ...

provider with ambitious plans to become the best and biggest in the UK market. We’ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture. We provide insurance for over four million customers, but we know there … even bigger opportunity out there – our Pricing, Data and Analytics community values curiosity, collaboration and constructive challenge. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning … term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning ...