76 to 100 of 123 Data Ingestion Jobs in the UK excluding London

wide array of complex projects across multiple industries. The Role: We are looking for a Software Engineer with a strong foundation in API development and C# to join our data engineering team in a highly regulated industry. In this role, you’ll be instrumental in designing and building scalable, secure software systems that support seamless data movement between … internal systems, third-party platforms, and cloud services. Your core focus will be developing and maintaining APIs and backend services that enable data ingestion, transformation, and delivery across our enterprise architecture. You’ll collaborate with cross-functional teams to ensure data is available where and when it’s needed—reliably, efficiently, and in compliance with strict regulatory … over 5 years of relevant experience, a solid understanding of software system design, and a strong command of C# and modern API development patterns. A background in working with data systems, cloud integrations, and secure, large-scale applications will be highly advantageous. Responsibilities: Design, develop, and maintain scalable APIs and backend services to facilitate data flow between systems. More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

scale our fleet intelligence platform. We're a seed-stage company (raised $4.3M in August 2024) building the intelligence layer for commercial fleets. Fleet managers lose billions to fragmented data and manual work. We unify their data, quantify savings opportunities, and automate decisions with AI. This is a new leadership role created to accelerate product as we scale. … to-market. You'll establish product discipline as we grow the engineering team. What you'll do Own the product roadmap and prioritisation Translate vision into clear product requirements (data ingestion, harmonisation, simulation, AI recommendations) Define success metrics and quality bars Protect focus through evidence-based prioritisation Get in front of customers to understand their workflows and pain … for scale. Commercial instincts: You understand where value lies for customers and can accelerate revenue by bringing product clarity to sales conversations. Technical credibility: Comfortable debating engineers about feasibility, data architecture, and technical tradeoffs. You don't code but you're technical enough to earn respect and make smart decisions about a data platform. Strong product judgment: Opinionated More ❯

scale our fleet intelligence platform. We're a seed-stage company (raised $4.3M in August 2024) building the intelligence layer for commercial fleets. Fleet managers lose billions to fragmented data and manual work. We unify their data, quantify savings opportunities, and automate decisions with AI. This is a new leadership role created to accelerate product as we scale. … to-market. You'll establish product discipline as we grow the engineering team. What you'll do Own the product roadmap and prioritisation Translate vision into clear product requirements (data ingestion, harmonisation, simulation, AI recommendations) Define success metrics and quality bars Protect focus through evidence-based prioritisation Get in front of customers to understand their workflows and pain … for scale. Commercial instincts: You understand where value lies for customers and can accelerate revenue by bringing product clarity to sales conversations. Technical credibility: Comfortable debating engineers about feasibility, data architecture, and technical tradeoffs. You don't code but you're technical enough to earn respect and make smart decisions about a data platform. Strong product judgment: Opinionated More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯

Our client a high profile deep-tech organisation, urgently require an experienced AI/Data Developer to undertake a contract assignment. In order to be successful, you will have the following experience: Extensive AI & Data Development background Experiences with Python (including data libraries such as Pandas, NumPy, and PySpark) and Apache Spark (PySpark preferred) Strong experience with … data management and processing pipelines Algorithm development and knowledge of graphs will be beneficial SC Clearance is essential Within this role, you will be responsible for: Supporting the development and delivery of AI solution to a Government customer Design, develop, and maintain data processing pipelines using Apache Spark Implement ETL/ELT workflows to extract, transform and load … large-scale datasets efficiently Develop and optimize Python-based applications for data ingestion Collaborate on development of machine learning models Ensure data quality, integrity, and performance across distributed environments Contribute to the design of data architectures, storage strategies, and processing frameworks Work with cloud data platforms (e.g., AWS, Azure, or GCP) to deploy scalable solutions More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

design, implement, and scale the infrastructure that supports high-performance machine learning and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and … Terraform, Kubernetes, Docker , and CI/CD toolchains (GitHub Actions, Jenkins, Argo, etc.). Manage scalable cloud-based compute environments (Oracle Cloud, AWS, or GCP) for AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and … infrastructure optimization. Monitor model and system performance, implement drift detection, and refine automated retraining pipelines. Contribute to the development of a modular, reusable ML platform architecture supporting multi-modal data (genomic, clinical, imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands More ❯

design, implement, and scale the infrastructure that supports high-performance machine learning and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and … Terraform, Kubernetes, Docker , and CI/CD toolchains (GitHub Actions, Jenkins, Argo, etc.). Manage scalable cloud-based compute environments (Oracle Cloud, AWS, or GCP) for AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and … infrastructure optimization. Monitor model and system performance, implement drift detection, and refine automated retraining pipelines. Contribute to the development of a modular, reusable ML platform architecture supporting multi-modal data (genomic, clinical, imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands More ❯

Overview: Tasks: Lead software development initiatives, turning customer needs into innovative data products. Company: Join a leader in analytics for top financial institutions worldwide. Benefits: Enjoy flexible hybrid work, competitive salary, 25 days leave, and private medical cover. Why this job: Be part of a transformative team shaping the future of financial software with real impact. Qualifications: Experience in … B2B product management and data architecture is essential; tech-savvy candidates preferred. Other info: Collaborate with diverse teams and engage in exciting projects across technology and data science. Salary range: £60-90,000 base This firm builds analytics and business intelligence products that are integral to how the world's largest corporate and investment banks, asset managers and … that delights them. As a Product Manager you will be the owner of multiple software development initiatives. Working closely with the customer and the technology, business, relationship management, operations, data science and governance teams you will: Discover the underlying unmet needs from the customers; Define and agree the outcomes and acceptance criteria; Orchestrate the design of the prototype; Help More ❯

Data Software Engineer/Developer (Python Databricks FastAPI) London to £90k Are you a data centric Software Engineer with strong Python and SQL skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity … insurance markets. As a Data Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO … and will model data for a variety of purposes. You'll also collaborate with the Infrastructure team to maintain Infrastructure as Code and develop new features on the engineering platform. Location/WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You More ❯

Senior Data & ML Engineer? Cardiff/London? £90,000 - £100,000 DOE What You'll Do: Take the lead on building and scaling large-scale web scraping and data ingestion systems that form the core of an AI-driven product suite used by major enterprise clients. From crawling hundreds of dynamic sources to powering downstream LLM features … your work will be the foundation of everything the platform delivers. You'll own projects end-to-end - designing data pipelines, integrating with vector databases, and deploying intelligent features using Retrieval-Augmented Generation (RAG) and fine-tuned LLMs. What You'll Bring: Deep hands-on experience with web scraping tools and frameworks (Scrapy, Playwright, Puppeteer, etc.) 5+ years in … data engineering, ML engineering, or similar technical roles Strong Python skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with distributed systems and cloud platforms (AWS More ❯

Senior Data & ML Engineer ?? Cardiff/London ?? £90,000 - £100,000 DOE What You'll Do: Take the lead on building and scaling large-scale web scraping and data ingestion systems that form the core of an AI-driven product suite used by major enterprise clients. From crawling hundreds of dynamic sources to powering downstream LLM features … your work will be the foundation of everything the platform delivers. You'll own projects end-to-end - designing data pipelines, integrating with vector databases, and deploying intelligent features using Retrieval-Augmented Generation (RAG) and fine-tuned LLMs. What You'll Bring: Deep hands-on experience with web scraping tools and frameworks (Scrapy, Playwright, Puppeteer, etc.) 5+ years in … data engineering, ML engineering, or similar technical roles Strong Python skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with distributed systems and cloud platforms (AWS More ❯

Senior Software Engineer/Developer (Python FastAPI Data) London to £90k Are you a data centric Software Engineer with strong Python and SQL skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity … insurance markets. As a Senior Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and … will model data for a variety of purposes. You'll also collaborate with the Infrastructure Team to maintain Infrastructure as Code and develop new features on the engineering platform. Location/WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have More ❯

Managed Services Analyst 3 About Behavox Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value, our data operating … platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise. Our approach is unique, and it's validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems … have an insatiable appetite for building what no one has built before. About the Role As a Managed Services Analyst, you will sit at the intersection of technology delivery, data analytics, and client services - ensuring that Behavox solutions, such as Mosaic Smart Data, deliver measurable value from day one. You will lead end-to-end delivery of Behavox More ❯

context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From data ingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯

context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From data ingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯

context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From data ingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯

Role Title: Salesforce Data Cloud Technical Architect Location: London/Manchester/Leeds/Birmingham Salary: Competitive salary and package dependent on experience Career Level: Associate Manager to Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. … global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Salesforce Data Cloud Technical Architect, you will: Work as part of an integrated Accenture and client team, defining, architecting, designing, delivering and deploying Data Cloud based solutions to our clients … Design and implement end-to-end data architectures across Salesforce Data Cloud and other Salesforce Core Clouds (Sales, Service, Marketing, Commerce), with a strong focus on data ingestion, unification, and scalable target activation. Drive creativity and innovation in solutions to deliver value for clients and Accenture Support pre-sales activities including shaping and presenting solutions, and More ❯