401 to 425 of 448 Data Ingestion Jobs in the UK

first product and early revenue projected (high six-figure ARR this year), the company is now developing a second, more ambitious system that uses LLMs, RAG, and multi-source data ingestion to solve real problems in a complex, high-value industry. This is a rare opportunity to join early, build real AI systems, and take ownership of core … architecture and product direction. What You’ll Do Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval) Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.) Define infrastructure and engineering best practices from the ground up What We’re Looking For 3–6+ years AI … software engineering and deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast, hands-on, pragmatic, collaborative Excited by early-stage start-up life More ❯

experience in Java and Python, confident working with AWS cloud infrastructure including containerisation (Docker/Kubernetes), architecture, and scaling systems. They will have solid skills in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) and be looking to lead a team in an office-based environment in London. This is a fantastic opportunity for … in London The Person: *Experienced Hands-on Software Developer with strong Java and Python experience *Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes) *Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) *Looking to lead a team in an office-based role in London. Reference Number: BBBH 254621 To apply for this More ❯

experience in Java and Python, confident working with AWS cloud infrastructure including containerisation (Docker/Kubernetes), architecture, and scaling systems. They will have solid skills in building and managing data ingestion and processing pipelines and be looking to lead a team in an office-based environment in London. This is a fantastic opportunity for an experienced developer to … in London The Person: *Experienced Hands-on Software Developer with strong Java and Python experience *Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes) *Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) *Looking to lead a team in an office-based role in London. Reference Number: BBBH 254621 To apply for this More ❯

experience in Java and Python, confident working with AWS cloud infrastructure including containerisation (Docker/Kubernetes), architecture, and scaling systems. They will have solid skills in building and managing data ingestion and processing pipelines and be looking to lead a team in an office-based environment in London. This is a fantastic opportunity for an experienced developer to … in London The Person: *Experienced Hands-on Software Developer with strong Java and Python experience *Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes) *Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) *Looking to lead a team in an office-based role in London. Reference Number: BBBH 254621 To apply for this More ❯

experience in Java and Python, confident working with AWS cloud infrastructure including containerisation (Docker/Kubernetes), architecture, and scaling systems. They will have solid skills in building and managing data ingestion and processing pipelines (Kafka/Spring Batch) and be looking to lead a team in an office-based environment in London.This is a fantastic opportunity for an … in London The Person: *Experienced Hands-on Software Developer with strong Java and Python experience*Strong AWS cloud infrastructure and containerisation (Docker/Kubernetes)*Skilled in building and managing data ingestion and processing pipelines (Kafka/Spring Batch)*Looking to lead a team in an office-based role in London.Reference Number: BBBH 254621To apply for this role or More ❯

NodeJS Developer - NodeJS Engineer - Data - TDD - AWS - 6 Months - Paying up to £650 (Inside IR35) - Hybrid You will be an integral part of the backend engineering team, building and developing the tooling and pipelines that form their data ingestion and modelling machine. Paying up to £650 (Inside IR35) depending on experience. Essential Skills: Must have signficant commercial More ❯

NodeJS Developer - NodeJS Engineer - Data - TDD - AWS - 6 Months - Paying up to £650 (Inside IR35) - Hybrid You will be an integral part of the backend engineering team, building and developing the tooling and pipelines that form their data ingestion and modelling machine. Paying up to £650 (Inside IR35) depending on experience. Essential Skills: Must have signficant commercial More ❯

the Braze platform, ensuring it aligns with business objectives and integrates seamlessly with our existing marketing technology stack. End-to-end implementation of Braze, including SDK integration, API connections, data ingestion, and the configuration of campaigns, Canvases, and Content Cards. Serve as the primary technical consultant for all things Braze, providing strategic advice and best practice recommendations to … marketing, product, and engineering teams. Collaborate with stakeholders to understand their needs and translate them into technical requirements and actionable use cases within Braze. Work closely with data and engineering teams to design and manage data flows, ensuring the right data is available in Braze to power personalised customer journeys. Hands-on experience with the Braze platform. … architecting and leading at least two full-cycle Braze implementations. Proven experience with Docker, Kubernetes, Terraform, or similar IaC technologies Have experience with MongoDB, Redis, Kafka, Postgres, or similar data technologies Experience with data integration, including ETL processes and customer data platforms (CDPs). Comprehensive awareness of various marketing technology platforms like CRM, DAM, dynamic creative optimization More ❯

the Braze platform, ensuring it aligns with business objectives and integrates seamlessly with our existing marketing technology stack. End-to-end implementation of Braze, including SDK integration, API connections, data ingestion, and the configuration of campaigns, Canvases, and Content Cards. Serve as the primary technical consultant for all things Braze, providing strategic advice and best practice recommendations to … marketing, product, and engineering teams. Collaborate with stakeholders to understand their needs and translate them into technical requirements and actionable use cases within Braze. Work closely with data and engineering teams to design and manage data flows, ensuring the right data is available in Braze to power personalised customer journeys. Hands-on experience with the Braze platform. … architecting and leading at least two full-cycle Braze implementations. Proven experience with Docker, Kubernetes, Terraform, or similar IaC technologies Have experience with MongoDB, Redis, Kafka, Postgres, or similar data technologies Experience with data integration, including ETL processes and customer data platforms (CDPs). Comprehensive awareness of various marketing technology platforms like CRM, DAM, dynamic creative optimization More ❯

art trading systems - optimise code for maximum speed and efficiency, minimising latency. Implement and enhance trading algorithms in collaboration with quantitative researchers and traders. Handle large volumes of market data in real-time, ensuring accurate and fast data ingestion, processing, and storage to feed trading algorithms. Your experience will include: Bachelor’s or Master’s degree in … Computer Science, Engineering, or a related field. 2+ years of professional development experience as a Software Engineer in either C++, Python or Java. Strong understanding of data structures, algorithms, and software design principles. Experience with multi-threaded programming and real-time systems (C Java) Experience writing software for massive scale (Up to 100s billions of records at a time More ❯

art trading systems - optimise code for maximum speed and efficiency, minimising latency. Implement and enhance trading algorithms in collaboration with quantitative researchers and traders. Handle large volumes of market data in real-time, ensuring accurate and fast data ingestion, processing, and storage to feed trading algorithms. Your experience will include: Bachelor’s or Master’s degree in … Computer Science, Engineering, or a related field. 2+ years of professional development experience as a Software Engineer in either C++, Python or Java. Strong understanding of data structures, algorithms, and software design principles. Experience with multi-threaded programming and real-time systems (C Java) Experience writing software for massive scale (Up to 100s billions of records at a time More ❯

market-making environment. What You'll Do: Develop trading algorithms: Design and optimise low-latency, high-frequency trading strategies. Build front-office systems: Develop systems for algorithmic trading, including data ingestion, risk management, live trading, and post-trade analysis. Integrate with DeFi venues: Onboard real-time data feeds from decentralised finance protocols. Backtest models: Evaluate trading strategies … using historical data and refine them for performance. Implement risk management: Build robust risk controls including stop-loss mechanisms and capital allocation limits. Monitor systems: Ensure real-time system stability and troubleshoot issues as they arise. What We're Looking For: Proven experience with Rust in a production environment (this is a must). Background in crypto trading , ideally More ❯

the Braze platform, ensuring it aligns with business objectives and integrates seamlessly with our existing marketing technology stack. End-to-end implementation of Braze, including SDK integration, API connections, data ingestion, and the configuration of campaigns, Canvases, and Content Cards. Serve as the primary technical consultant for all things Braze, providing strategic advice and best practice recommendations to … marketing, product, and engineering teams. Collaborate with stakeholders to understand their needs and translate them into technical requirements and actionable use cases within Braze. Work closely with data and engineering teams to design and manage data flows, ensuring the right data is available in Braze to power personalised customer journeys. Essential Hands-on experience with the Braze … architecting and leading at least two full-cycle Braze implementations. Proven experience with Docker, Kubernetes, Terraform, or similar IaC technologies Have experience with MongoDB, Redis, Kafka, Postgres, or similar data technologies Experience with data integration, including ETL processes and customer data platforms (CDPs). Comprehensive awareness of various marketing technology platforms like CRM, DAM, dynamic creative optimization More ❯

London is looking for a Principal Platform Engineer with excellent Python and architectural design principles to help reorganize their SRE and Observability function. This Fintech company handles large-scale data ingestion, enabling traders to monitor commodities, securities, and investments in real-time. The role involves working with cutting-edge technology to create market-leading data insights and More ❯

join with: Mission: Build and enhance a platform that supports the collection and analysis of intelligence related to cryptocurrency crime. The role involves developing tools and systems to streamline data ingestion from various sources and integrate it into a proprietary graph database. Key Responsibilities: Design and develop software tools for intelligence collection and analysis. Create systems to analyze … practices. Contribute to the team’s technical strategy and decision-making. Ideal Candidate: Passionate about cryptocurrencies and blockchain technology. Experience integrating systems to improve operational efficiency. Collaborative, communicative, and data-driven in decision-making. Required Experience: 5+ years of commercial software engineering experience. Proficiency with AWS, Kubernetes, Postgres, and Terraform. Bonus Skills: Background in intelligence collection or big data. More ❯

as writing a 1 pager project proposal to be shared across the team for technical feedback. In this job, you will bring these skills Skills/Experience - Required: Streaming data systems - using Kafka, Spark, Map/Reduce or similar to process large data sets Experience with building and operating distributed systems and services at a high scale ( billions … of best practices in developing software Skills - Nice to have: 2+ years Python Working with internal as well as external APIs Role Responsibilities Build out streaming infrastructure for our data integration platform Be able to capture data from slack, teams and other streaming data platforms for processing within our Data Ingestion Platform (DIP) Work to More ❯

you will be a key part of our rapidly growing startup. You will have the opportunity to build beyond the limitations typically found in larger firms, directly shaping our data infrastructure, analytics capabilities, and cutting-edge AI solutions from the ground up. This role offers an exceptional opportunity for learning and career development, allowing you to develop a diverse … skillset while making meaningful contributions in an environment that values innovation and fresh perspectives. Stack: TypeScript Node.js React NestJS Tailwind Postgres Projects include: Own and evolve our data ingestion engine (Deliveroo/Uber/JustEat) Build self-serve dashboards for kitchens and food brands Greenfield: AI food quality control (models + Mechanical Turk) Greenfield: AI & gamified kitchen management More ❯

to scale by leveraging our combined financial strength and importantly ensure our people feel the benefits of our joint capabilities. We are currently recruiting for a Head of Partner Data to join our established and experienced Delegated team here at RSA on a hybrid basis. Your role The purpose of this role is to develop, implement and evolve the … Partner Data Strategy for UK Delegated to ensure data available to our business enables delivery of our objectives and obligations. This role holds responsibility for ensuring that complete, accurate and timely partner data is available for use in RSA processes/MI creation across all our Delegated Insurance arrangements. It will develop, implement and evolve Partner Data … team, driving engagement and motivation at all levels and ensure best practice across the team, including our approach to data. You will be involved with leading continued automation of data ingestion through the bordereau management tool (Insights) and into downstream systems. Collaboration with the Chief Information Office (CIO) and MI Teams is also required to ensure the needs More ❯

part of Qualcomm’s diversification roadmap. Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs. The ease of use and … developers to create the next generation of intelligent device solutions with embedded Machine Learning. We believe that machine learning will enable the valuable use of the 99% of sensor data that is currently discarded due to cost, bandwidth or power constraints. Our framework provides data ingestion, labeling, training, and deployment capabilities to accelerate developer success with ML … code that enables Edge Impulse Machine Learning onto embedded devices using modern software development and deployment tools Connect sensors (image, audio, motion) to Edge Impulse applications Develop algorithms for data/image processing Improve/develop tooling that connects an embedded system to a larger system Drive solutions forward with an ownership mindset working effectively both independently and as More ❯

with applications. • Hands-on experience with UI modern technologies like ReactJS and/or AngularJS • Hands-on experience in database development with technologies such as Oracle, Cassandra. • Code efficient data ingestion orchestration using Spring Integration, Spring Batch to facilitate integration with upstream and downstream applications. • Solid understanding in Agile Methodology, CI/CD Pipelines and OKRs. • Expertise in More ❯

Day-to-DayW ork closely with enterprise customers to understand their ERP setups (NetSuite, SAP, Microsoft Dynamics), billing and collections processesG ather and map technical requirements, including custom fields, data flows, and integration logicO wn the technical implementation of Kolleno during onboardingC ollaborate across Sales,Product, Engineering, and Customer Success to design tailored solutionsD evelop and deliver an internal … project plans and coordination of partner meetings, setting agendas, recording and distributing minutesD emonstrate strong project management capabilities by driving coordination of underlying implementation activities, including core application configurations, data ingestion setup, workflow configuration, and ongoing support.P articipate in client-facing meetings and communications across various organizational levels, including executives, project leads, and operational teamsE xperience Required& nbsp … + years in a Solutions Engineer, Implementation Specialist, Technical Consultant, or Salesforce Technical ConsultantS trong understanding of APIs, data mapping, and integration patternsC omfortable in client-facing situations, including with senior stakeholdersA bility to interpret business requirements and translate them into technical specsS trong organizational skills and a bias toward actionB onus: Hands-on experience working with ERPs – especially More ❯

Social network you want to login/join with: Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in … inference of generative AI models. Design and implement advanced methodologies like LoRA, prefix-tuning, and adapter-based approaches for fine-tuning AI models. Develop robust, fault-tolerant systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing … production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and More ❯

About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence … inference of generative AI models. Design and implement advanced methodologies like LoRA, prefix-tuning, and adapter-based approaches for fine-tuning AI models. Develop robust, fault-tolerant systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing … production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and More ❯

reporting Develop project plans, define scope, set timelines, and manage resources effectively Track project progress and provide regular updates to stakeholders Requirements Demonstrated experience in project management, particularly with data integration and technical solutions (3+ years preferred) Demonstrated ability to lead cross-functional teams and influence stakeholders without direct authority Strong technical acumen, with the ability to communicate effectively … with engineers and non-technical stakeholders Proven experience in mapping complex processes, identifying inefficiencies, and implementing successful process optimization initiatives Proven success in managing complex data integration projects, ideally in eCommerce, SaaS, or System Integration environments Experience in cross-functional leadership, aligning teams with varying priorities and technical expertise Experience with data tracking, catalog management, and API integrations … is a plus Familiarity with data ingestion, health monitoring, and alerting tools is a plus Strong problem-solving skills and the ability to lead technical initiatives from concept to implementation Excellent communication and stakeholder management abilities Ability to thrive in a fast-paced environment and adapt to changing project needs Familiarity with project management tools and agile methodologies More ❯

Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. … inference of generative AI models. Design and implement advanced methodologies like LoRA, prefix-tuning, and adapter-based approaches for fine-tuning AI models. Develop robust, fault-tolerant systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing … production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and More ❯