1,001 to 1,025 of 1,043 Data Pipeline Jobs in England

ArchitectSFIA: 5IR35: OutsideSC: YesStart: ASAP End: 31/03Rate: £600 Outside ir35RemoteLooking for someone who can help with Business and solution architecture You will look at Google cloud Data pipelines The migration from Google Process ledBackground Solution architect background Business Change experience across an enterprise Tools and expereince SAS Products Digital product Experience Migration from Google to Mircosoft … AWS Powerapps solution experience IT Transformation experience Team make up Senior BA X2 Lead Data Engineer Senior Data EngineerIf interested please get in touch with your cv More ❯

Start: ASAP End: 31/03 Rate: £600 Outside ir35 Remote Looking for someone who can help with Business and solution architecture You will look at Google cloud Data pipelines The migration from Google Process led Background Solution architect background Business Change experience across an enterprise Tools and expereince SAS Products Digital product Experience Migration from Google to … Mircosoft AWS Powerapps solution experience IT Transformation experience Team make up Senior BA X2 Lead Data Engineer Senior Data Engineer If interested please get in touch with your cv More ❯

and manufacturing teams. A familiarity with production test time optimisation in semiconductor or optical device environments, is also required to succeed in this role. Exposure to cloud-based data pipelines for large-scale test data processing. As the successful Systems Optimisation Engineer, you should have achieved a Degree in Computer Science, Electrical/Electronic Engineering, Applied More ❯

identify, test, and track trading opportunities. Translate research prototypes (e.g., from Python, MATLAB, or R) into production-quality C# code for real-time or batch execution. Design efficient data pipelines to ingest, clean, and store large volumes of financial and alternative data for use in signal generation. Improve computational efficiency and latency of backtesting, screening, or … signal engines to handle high data throughput. Work closely with quant researchers to turn raw trading ideas into actionable, production-ready strategies. Tech: C#, Python, AWS If you are a an elite C# engineer - please get in touch More ❯

identify, test, and track trading opportunities. Translate research prototypes (e.g., from Python, MATLAB, or R) into production-quality C# code for real-time or batch execution. Design efficient data pipelines to ingest, clean, and store large volumes of financial and alternative data for use in signal generation. Improve computational efficiency and latency of backtesting, screening, or … signal engines to handle high data throughput. Work closely with quant researchers to turn raw trading ideas into actionable, production-ready strategies. Tech: C#, Python, AWS If you are a an elite C# engineer - please get in touch More ❯

especially those involving language models. Conducting user research to identify risks, failure modes, and usability challenges in AI-powered systems. Integrating AI/ML components with frontend, backend, data pipelines, and compute infrastructure. Writing high-quality, maintainable code and participating in peer code reviews. Collaborating with data engineers and cross-functional teams to build end-to … end ML pipelines. Delivering insights from generative AI datasets using ML and data analysis techniques. Supporting the deployment and monitoring of AI/ML models in production environments. Why Join Our Talent Pool? Be the first to hear about new AI/ML Developer roles as soon as they go live. Gain access to exclusive insights about GSK More ❯

the team, and help shape the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers … Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking More ❯

the team, and help shape the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers … Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking More ❯

the team, and help shape the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers … Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking More ❯

enables real-time biological analysis at scale. This is your opportunity to work at the intersection of science and software , building the systems behind next-generation sequencing and data platforms from portable lab devices to large-scale research infrastructure used by institutions worldwide. The Role You’ll join a collaborative international engineering team developing and maintaining high-impact … data applications that support critical scientific and commercial operations. You’ll work on systems that process large biological datasets , support telemetry pipelines , and help deliver cutting-edge tools for researchers and scientists around the world. What You’ll Do Design, build and maintain data-intensive web applications and APIs Develop scalable systems using Python (Django, FastAPI … background in building web apps, APIs, or workflow engines Hands-on experience with Docker , CI/CD pipelines , and cloud-native environments Knowledge of databases (SQL, MongoDB) and data pipelines Familiarity with Kubernetes , Terraform , or related orchestration tools What’s on offer: Competitive salary and bonus Private healthcare & pension Collaborative, mission-driven culture If you’re a Python More ❯

product strategy underpins everything we do and that leaders are empowered to guide decisions in collaboration with cross functional teams. As we scale, we aim to foster strong, data driven product thinking to tackle both customer facing and internal challenges. About the role As Zego's first dedicated Lead AI Product Manager, you'll drive the strategy and … execution of our ambitious AI roadmap. This role reports to the Head of Product and partners closely with technical leads across Data, Engineering, and business stakeholders to deliver impactful AI solutions. What you'll be doing Shape and prioritise AI strategy - Identify high value ML/AI opportunities across Zego, rank them by impact and feasibility, and build … business problems rigorously, confirm suitability for AI solutions, establish clear success metrics, and outline high level solution approaches. Drive execution and iteration - Run tight feedback loops with Engineering, Data Science, and Ops teams to deliver quickly and iterate based on continuous learning and feedback. Own internal launches and communications - Manage rollouts, drive adoption, proactively communicate AI capabilities and More ❯

product strategy underpins everything we do and that leaders are empowered to guide decisions in collaboration with cross-functional teams. As we scale, we aim to foster strong, data-driven product thinking to tackle both customer-facing and internal challenges. About the role As Zego's first dedicated Lead AI Product Manager, you'll drive the strategy and … execution of our ambitious AI roadmap. This role reports to the Head of Product and partners closely with technical leads across Data, Engineering, and business stakeholders to deliver impactful AI solutions. What you'll be doing Shape and prioritise AI strategy - Identify high-value ML/AI opportunities across Zego, rank them by impact and feasibility, and build … business problems rigorously, confirm suitability for AI solutions, establish clear success metrics, and outline high-level solution approaches. Drive execution and iteration - Run tight feedback loops with Engineering, Data Science, and Ops teams to deliver quickly and iterate based on continuous learning and feedback. Own internal launches and communications - Manage rollouts, drive adoption, proactively communicate AI capabilities and More ❯

product strategy underpins everything we do and that leaders are empowered to guide decisions in collaboration with cross-functional teams. As we scale, we aim to foster strong, data-driven product thinking to tackle both customer-facing and internal challenges. About the role As Zego's first dedicated Lead AI Product Manager, you'll drive the strategy and … execution of our ambitious AI roadmap. This role reports to the Head of Product and partners closely with technical leads across Data, Engineering, and business stakeholders to deliver impactful AI solutions. What you'll be doing Shape and prioritise AI strategy – Identify high-value ML/AI opportunities across Zego, rank them by impact and feasibility, and build … business problems rigorously, confirm suitability for AI solutions, establish clear success metrics, and outline high-level solution approaches. Drive execution and iteration – Run tight feedback loops with Engineering, Data Science, and Ops teams to deliver quickly and iterate based on continuous learning and feedback. Own internal launches and communications – Manage rollouts, drive adoption, proactively communicate AI capabilities and More ❯

trading innovation? Join a leading global trading firm as a Front Office Developer, where you'll design and build the next generation of high-performance systems, algorithms, and data-driven solutions that power live trading decisions across asset classes. You'll collaborate with world-class developers and quants, gaining exceptional exposure to both technology and markets all within … innovation and impact. What You'll Do Design, build, and enhance trading algorithms across multiple desks Support and evolve Interest Rate Options trading platforms Automate pricing, risk, and data pipelines in real time Develop and maintain time-series databases to deliver deep insights Shape the architecture and performance of front-office systems What You'll Bring A Master … are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice. More ❯

looking for a hands-on Lead Software Engineer to own the design and delivery of our IoT and cloud software platform. Youll connect our ultra-fast chargers, manage data and remote control functions, and ensure security and scalability across our systems. Youll work directly with the VP Product and VP Power Electronics, shaping architecture, integrations and performance turning … ideas into real, working solutions. ________________________________________ What Youll Do Build IoT and cloud software for charger connectivity and monitoring Create telemetry and data pipelines (PLC, CAN) Enable secure remote control and bi-directional communication (MQTT/WebSockets) Deliver OTA firmware updates and REST APIs (OCPP/OCPI) Develop secure, scalable cloud infrastructure (AWS IoT, Azure, etc.) Collaborate closely with More ❯

Field Solutions Architect, GenAI, Google Cloud Google London, UK Responsibilities Advise our customers by understanding the customer's business process and objectives. Architect AI driven, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture. Work with customers, demonstrate features, tune models, optimize model performance, profiling, and benchmarking. Troubleshoot and … and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Experience in systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches. Understanding of nearest neighbor search concepts. About the job As a Generative AI Field Solutions Architect, you will support Google More ❯

ML pipelines to microservices and APIs Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code Collaborating across teams—engineering, product, data, and more Leading by example as a senior individual contributor, mentoring others and setting technical direction Working with cloud infrastructure (GCP preferred), security-first architecture, and modern dev practices … projects or products, either in a company, startup, or open-source community Bonus points if you’ve worked on privacy tech, GraphQL, OAuth, embedded systems, or large-scale data pipelines. 🌍 Why You Might Love It: ✅ A bold mission with global impact ✅ Remote-first setup (EST to CET) + offices in Berlin & multiple other locations ✅ Smart, passionate teammates and More ❯

ML pipelines to microservices and APIs Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code Collaborating across teams—engineering, product, data, and more Leading by example as a senior individual contributor, mentoring others and setting technical direction Working with cloud infrastructure (GCP preferred), security-first architecture, and modern dev practices … projects or products, either in a company, startup, or open-source community Bonus points if you’ve worked on privacy tech, GraphQL, OAuth, embedded systems, or large-scale data pipelines. 🌍 Why You Might Love It: ✅ A bold mission with global impact ✅ Remote-first setup (EST to CET) + offices in Berlin & multiple other locations ✅ Smart, passionate teammates and More ❯

performance engineering culture through structured reviews, coaching, and career development pathways Partnering with Product Design to deliver intuitive, robust enterprise workflows Tackling complex technical challenges across large-scale data pipelines, secure access, event-driven systems, and multi-tenant architectures Embedding Agile, DevOps, and best practices into the engineering organisation What they’re looking for: 10+ years of experience … SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms or large-scale security data systems Why join? Competitive compensation & benefits Key leadership role in a high-growth cybersecurity scale-up Opportunity to shape global engineering strategy and culture Work with cutting-edge technology More ❯

performance engineering culture through structured reviews, coaching, and career development pathways Partnering with Product Design to deliver intuitive, robust enterprise workflows Tackling complex technical challenges across large-scale data pipelines, secure access, event-driven systems, and multi-tenant architectures Embedding Agile, DevOps, and best practices into the engineering organisation What they’re looking for: 10+ years of experience … SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms or large-scale security data systems Why join? Competitive compensation & benefits Key leadership role in a high-growth cybersecurity scale-up Opportunity to shape global engineering strategy and culture Work with cutting-edge technology More ❯

powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. … and research skills — capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer Competitive salary plus participation in our Stock Option Plan Paid vacation with adjustments based on your location to comply with local labor laws Travel More ❯

tools allowed). Follow-up chat. Decision. Any of the below is a plus but not neccessary: High-performance database systems & transactional correctness (isolation/serializability) Real-time data pipelines & market-data processing (ultra-low latency, burst tolerance) Performance/latency optimization to sub-millisecond: CPU cache/NUMA, SIMD, vectorization, I/O tuning Concurrency More ❯

tools allowed). Follow-up chat. Decision. Any of the below is a plus but not neccessary: High-performance database systems & transactional correctness (isolation/serializability) Real-time data pipelines & market-data processing (ultra-low latency, burst tolerance) Performance/latency optimization to sub-millisecond: CPU cache/NUMA, SIMD, vectorization, I/O tuning Concurrency More ❯

Software Engineer London - Hybrid (4 days a week onsite) Up to £85,000 + benefits We’re partnered with an early-stage technology business that is building the data infrastructure to power automation across a global, multi-trillion-dollar industry. Backed by leading investors, they’re tackling complex problems in a market that touches millions worldwide. They are … looking for a talented Software Engineer with a passion for accuracy, automation, and solving hard data challenges. This is a unique opportunity to join an experienced founding team and help design systems that transform how businesses operate at scale. Responsibilities as a Software Engineer: Clean, normalise, and integrate datasets from multiple sources with exceptional accuracy Build automated data pipelines that adapt to evolving data formats and sources Design scalable database schemas and optimise queries for performance Develop systems that continuously learn and improve through real-world usage Collaborate with product and engineering teams to ship iterative solutions that deliver measurable impact Contribute to the architecture of a core data platform powering automation More ❯

Embed and optimise complex pricing models within the firm’s core compute and risk frameworks. Build and enhance services across order management, trade/position systems, product reference data, and real-time market data pipelines. Work collaboratively with quantitative researchers, quant developers, and front-office stakeholders to deliver next-generation trading capabilities. Develop primarily in modern More ❯