801 to 825 of 993 Data Pipeline Jobs in England

while gaining meaningful experience across a variety of disciplines. About the Team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product and Engineering teams to deliver exceptional experiences to our customers … days per week at the designated office. This is an essential aspect of the position. About the Role Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting voice products. In this role, you will harness data analytics to enhance the user … candidate is detail-oriented, highly analytical, and passionate about solving complex challenges. What You'll Be Doing: Designing and maintaining dashboards, reports, and data visualizations to monitor key metrics for operational and system performance. Analyzing both structured and unstructured data to uncover insights, identify trends, and More ❯

technology and ethical AI Able to explain complex ideas simply, and work well in cross-functional teams Tech You'll Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP More ❯

while gaining meaningful experience across a variety of disciplines. About the Team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product and Engineering teams to deliver exceptional experiences to our customers … days per week at the designated office. This is an essential aspect of the position. About the Role Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting CoreOS engineering team. In this role, you will harness data analytics to enhance the … candidate is detail-oriented, highly analytical, and passionate about solving complex challenges. What You'll Be Doing: Designing and maintaining dashboards, reports, and data visualizations to monitor key metrics for operational and system performance. Analyzing both structured and unstructured data to uncover insights, identify trends, and More ❯

are functional content or music tracks leveraged in royalty calculations and in search and recommendations Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry. We are looking for a Machine … re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog. What You'll Do Build production systems that enrich and improve our listeners' experience on … production-ize solutions at scale for our hundreds of millions of active users Help drive optimization, testing, and tooling to improve quality Perform data analysis to establish baselines and inform product decisions Collaborate with a cross functional agile team spanning design, data science, product management, and More ❯

are functional content or music tracks leveraged in royalty calculations and in search and recommendations. Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry. We are looking for a Machine … re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog. What You'll Do Build production systems that enrich and improve our listeners' experience on … production-ize solutions at scale for our hundreds of millions of active users Help drive optimization, testing, and tooling to improve quality Perform data analysis to establish baselines and inform product decisions Collaborate with a cross functional agile team spanning design, data science, product management, and More ❯

Data Scientist – AI x Cybersecurity x Product Impact 📍 London | 🏢 4 Days In-Office | 💼 Full-Time | 💷 £70K–£90K We’re hiring for a VC-backed startup building next-gen AI products in cybersecurity. This isn’t a research lab or notebook-only role — it’s about shipping real features … ll Bring Strong Python skills and experience building ML-powered applications Proven track record of shipping models into production Comfort working with unstructured data and messy real-world signals Solid understanding of data modeling , from exploration to evaluation Experience with ML pipelines , training, and deployment at … scale 🛠 What You’ll Do Turn raw data into real product features with measurable impact Collaborate with engineers + product to design and deploy ML-powered functionality Build scalable data pipelines and shape the system architecture Own the full lifecycle - from data to model More ❯

Lead Data Engineer – Help Shape the Future of Mental Health Research Are you a hands-on leader who loves crafting clean architecture and mentoring engineers how to do the same? Do you enjoy building data pipelines that actually scale? Are you seeking a challenge as well … as a mission that matters? Join a health-focused data team working at the intersection of research, AI and engineering. You’ll be the right hand to the Head of Engineering, helping elevate the team’s technical maturity, drive best practices and build something meaningful. 🛠️ What you'll … do: Lead and mentor a junior-heavy team of data engineers Build and scale robust pipelines using Spark, Kafka and Delta Lake Define test-driven, documented and repeatable engineering practices Work closely with AI, research and DevOps to deliver products and insights Handle sensitive health data More ❯

About the Role We’re hiring a Senior Sales Engineer with a proven track record of successfully selling software or data solutions to enterprise clients, particularly within the media and broadcasting sectors. You will collaborate closely with Sales Directors to present innovative solutions tailored to the unique needs … of Concept (PoC) projects to demonstrate the value of the platform in solving customer-specific challenges. Develop Deep Product and Technical Expertise in Data Solutions: Communicate technical concepts and solution designs to technical and non-technical audiences Gather customer feedback, identify market needs, and collaborate with Product and … Engineering teams to influence the product roadmap. Familiarity with data warehouses and cloud infrastructure (e.g., Snowflake, GCP, AWS, Azure). Comfortable with undertaking discovery or setting up small scale tests that would include: querying a DWH during POV/POCs, configuring a cloud storage bucket for a customer More ❯

About the Role We’re hiring a Senior Sales Engineer with a proven track record of successfully selling software or data solutions to enterprise clients, particularly within the media and broadcasting sectors. You will collaborate closely with Sales Directors to present innovative solutions tailored to the unique needs … of Concept (PoC) projects to demonstrate the value of the platform in solving customer-specific challenges. Develop Deep Product and Technical Expertise in Data Solutions: Communicate technical concepts and solution designs to technical and non-technical audiences Gather customer feedback, identify market needs, and collaborate with Product and … Engineering teams to influence the product roadmap. Familiarity with data warehouses and cloud infrastructure (e.g., Snowflake, GCP, AWS, Azure). Comfortable with undertaking discovery or setting up small scale tests that would include: querying a DWH during POV/POCs, configuring a cloud storage bucket for a customer More ❯

Job: Data Engineer Location: South Newcastle (Hybrid/Flexible) Salary: up to £50k We’re hiring a Data Engineer to join a growing team based in South Newcastle. This is an exciting opportunity for someone who thrives on building robust data solutions and enjoys … working with modern tech in a collaborative environment. What You’ll Do: Design, build, and maintain scalable data pipelines Optimize and automate data workflows Work with PySpark, Python, and SQL to process and manage large datasets Collaborate in a cloud-based environment to deliver efficient and … reliable data solutions What We’re Looking For: Proven experience with Python, PySpark, and SQL Strong understanding of data engineering principles and cloud infrastructure Ability to work collaboratively and communicate technical concepts clearly A passion for clean, efficient, and scalable code Why Join Us? Supportive team More ❯

and making a real impact! About the Role This is an exciting opportunity to join our growing Software Engineering team as a Senior Data Engineer. What you'll do Key responsibilities in this role will include (but not be limited to): Lead the design, development, and enhancement of … our data pipelines to support use cases such as reporting, data extraction/export, etc. Own the delivery of your code from design all the way to production. Collaborate with Software Engineers to develop the GSS platform. Collaborate with the Product team to provide expert Data … meets the required engineering standards. Support the GSS Engineering Lead in driving the strategic direction of the Software Engineering department. Support and mentor Data Engineering colleagues. What you'll need Required: Experience designing and building high throughput, scalable, resilient, and secure data pipelines. Experience with AWS More ❯

of experienced Clojure engineers responsible for a range of systems including: Page composition and rendering for article and channel pages A configuration platform Data pipelines pushing Oracle DB content into Elasticsearch Internal jobs and feeds systems Sitemaps Elements of a comments service These are monolithic, on-premise backend More ❯

of experienced Clojure engineers responsible for a range of systems including: Page composition and rendering for article and channel pages A configuration platform Data pipelines pushing Oracle DB content into Elasticsearch Internal jobs and feeds systems Sitemaps Elements of a comments service These are monolithic, on-premise backend More ❯

than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate with a highly skilled team of engineers and data scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world … dynamic environments. Implement and improve MLOps pipelines to support continuous training, deployment, monitoring, and scaling of machine learning models in production. Collaborate with data engineers and software developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines. Stay up to date … solutions (AWS, GCP, or Azure) to deploy and manage machine learning workloads in a scalable manner. Qualifications: Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, or a related field. 4+ years of hands-on experience designing and deploying machine learning models in production, with a More ❯

users (trade entry, exchange interfaces, STP, etc) Designing new bespoke views Customising Trading System user interface using ClassEvents (C#.NET) Modifying the Trading System data model directly in the SQLServer database Enhancing test automation and ability to unit test custom code Developing customised applications (APIs, loaders, reports, data pipelines, BI tools) Quickly acquiring new technical skills (Azure IaaS/PaaS, Crystal Reports, Python, Azure Databricks, Azure Data Factory, Power BI, etc.) Requirements of the Senior Developer (ETRM) Proven experience within trading environments (hedge funds, investment banks, trading houses, asset managers, fintechs, trading vendors eg More ❯

users (trade entry, exchange interfaces, STP, etc) Designing new bespoke views Customising Trading System user interface using ClassEvents (C#.NET) Modifying the Trading System data model directly in the SQLServer database Enhancing test automation and ability to unit test custom code Developing customised applications (APIs, loaders, reports, data pipelines, BI tools) Quickly acquiring new technical skills (Azure IaaS/PaaS, Crystal Reports, Python, Azure Databricks, Azure Data Factory, Power BI, etc.) Requirements of the Senior Developer (ETRM) Proven experience within trading environments (hedge funds, investment banks, trading houses, asset managers, fintechs, trading vendors eg More ❯

G-Research, working on a wide range of projects. As a key member of the GenAI Engineering team, you will collaborate with researchers, data scientists and business stakeholders to design, develop and deploy AI applications that drive innovation and efficiency throughout the organisation. Key responsibilities of the role … include: Developing end-to-end AI applications, from data pre-processing to model deployment Collaborating with research teams to translate state-of-the-art AI techniques into practical solutions Optimising AI models for performance, scalability and efficiency Integrating AI solutions with existing systems and data pipelines … solutions Desirable skills: Experience with cloud platforms, such as AWS, GCP and Azure, and containerisation technologies, such as Docker and Kubernetes Experience with data pre-processing, feature engineering and model evaluation techniques Familiarity with reinforcement learning algorithms and applications Knowledge of software engineering best practices, including version control More ❯

What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle , from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM … operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based architectures. Ensure security and compliance for ML platforms handling sensitive data. Evaluate and … infrastructure issues . Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part More ❯

What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle , from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM … operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based architectures. Ensure security and compliance for ML platforms handling sensitive data. Evaluate and … infrastructure issues . Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part More ❯

stakeholders to gather requirements and drive projects from inception to deployment. Your expertise in object-oriented software engineering, quantitative modelling, cloud computing, and data analysis will be essential in enhancing the models that underpin our cashflow and pricing engines. You will also conduct ad-hoc analysis and scenario … with analysts to gather requirements, design tests, and scope new projects Create and maintain technical documentation Explore and clean datasets for modeling, optimizing data pipelines Identify and streamline inefficient processes Prepare and present visual materials to communicate software design and model logic to non-technical stakeholders Skills, Knowledge … and Expertise A degree in a highly numerate subject is essential At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Strong understanding of object-oriented design principles for usability and maintainability Experience with Git in a version-controlled More ❯

stakeholders to gather requirements and drive projects from inception to deployment. Your expertise in object-oriented software engineering, quantitative modelling, cloud computing, and data analysis will be essential in enhancing the models that underpin our cashflow and pricing engines. You will also conduct ad-hoc analysis and scenario … with analysts to gather requirements, design tests, and scope new projects Create and maintain technical documentation Explore and clean datasets for modeling, optimizing data pipelines Identify and streamline inefficient processes Prepare and present visual materials to communicate software design and model logic to non-technical stakeholders Skills, Knowledge … and Expertise A degree in a highly numerate subject is essential At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Strong understanding of object-oriented design principles for usability and maintainability Experience with Git in a version-controlled More ❯

The company is a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making … and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You'll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. … quality code, and participate in code reviews. The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have More ❯

together. About The Role As an AI Engineer, you'll use Generative AI to enhance operations, power client-facing products, and strengthen our data-driven culture. Owning the full AI lifecycle, you'll take ideas from proof of concept to deployment and continuous evaluation. Our AI initiatives span … categorization, summarization, data analysis, automated content generation, and rich media analysis - leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a "you build it, you run it … of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for prompt engineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate prompts to optimise performance across More ❯

KDB+ Data Engineer with around 5+ years of post-graduate experience sought to join a market-leading Quantitative Hedge Fund. You will join a 5-strong Data Engineering team covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack … and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset, and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production. More ❯

KDB+ Data Engineer with around 5+ years of post-graduate experience sought to join a market-leading Quantitative Hedge Fund. You will join a 5-strong Data Engineering team covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack … and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset, and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production. More ❯