1,201 to 1,225 of 1,344 Data Pipeline Jobs in the UK excluding London

What You’ll Be Doing Designing, developing, and maintaining Python-based trading and research infrastructure Building bespoke analytics and visualization tools in close collaboration with investment teams Optimizing data pipelines , automating complex workflows, and improving operational efficiency ✅ What You’ll Bring Proven experience in Python development , ideally within high-performance or data-intensive environments Understanding of More ❯

month contract , inside IR35 , offering hybrid working (3 days onsite). Key Responsibilities Develop robust backend systems for Python-based web applications Integrate AI/ML components with data, infrastructure, and frontend systems Deliver high-quality, well-documented, and thoroughly tested code Monitor and enhance performance of tools and services Collaborate across technical teams to build end-to … end data pipelines Essential Skills Proven experience in Python backend development (e.g. FastAPI) Strong cloud-native development skills, ideally with Google Cloud Familiarity with DevOps practices, automated testing (e.g. pytest), and agile methodologies Passion for healthcare innovation and continuous learning Bonus: Background in biological sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure More ❯

the potential (or ambition) to lead technology at a company-defining level. 🔍 What You'll Do Build and own core infrastructure and backend systems Design and implement APIs, data models, and scalable services Collaborate closely with founders on product direction and technical architecture Ship code fast, validate assumptions, and iterate Lay the groundwork for the future engineering team … doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you care about code quality and reliability ⭐ Bonus Experience (Not Required, but Valuable) Worked … enterprise customers Experience with applied machine learning or MLOps (not just academic or notebook-based work) Exposure to event-driven architectures, streaming systems (Kafka, etc.), or real-time data pipelines Frontend experience in React, TypeScript, or similar modern frameworks 📈 What We Offer Early-stage equity and the opportunity to shape foundational decisions High ownership, zero bureaucracy — build what More ❯

the potential (or ambition) to lead technology at a company-defining level. 🔍 What You'll Do Build and own core infrastructure and backend systems Design and implement APIs, data models, and scalable services Collaborate closely with founders on product direction and technical architecture Ship code fast, validate assumptions, and iterate Lay the groundwork for the future engineering team … doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you care about code quality and reliability ⭐ Bonus Experience (Not Required, but Valuable) Worked … enterprise customers Experience with applied machine learning or MLOps (not just academic or notebook-based work) Exposure to event-driven architectures, streaming systems (Kafka, etc.), or real-time data pipelines Frontend experience in React, TypeScript, or similar modern frameworks 📈 What We Offer Early-stage equity and the opportunity to shape foundational decisions High ownership, zero bureaucracy — build what More ❯

the potential (or ambition) to lead technology at a company-defining level. 🔍 What You'll Do Build and own core infrastructure and backend systems Design and implement APIs, data models, and scalable services Collaborate closely with founders on product direction and technical architecture Ship code fast, validate assumptions, and iterate Lay the groundwork for the future engineering team … doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you care about code quality and reliability ⭐ Bonus Experience (Not Required, but Valuable) Worked … enterprise customers Experience with applied machine learning or MLOps (not just academic or notebook-based work) Exposure to event-driven architectures, streaming systems (Kafka, etc.), or real-time data pipelines Frontend experience in React, TypeScript, or similar modern frameworks 📈 What We Offer Early-stage equity and the opportunity to shape foundational decisions High ownership, zero bureaucracy — build what More ❯

and services using Python, FastAPI/Django/Flask, and modern cloud tooling. Build secure and performant integrations between the Business Layer and other systems. Design and optimise data pipelines and transformation logic for large-scale services. Contribute to highly available, fault-tolerant workloads supporting millions of daily interactions. Collaborate within agile teams alongside product owners, architects, and … and caching technologies (Redis, DynamoDB, PostgreSQL). Active UK Security Clearance. Desirable Experience building or securing mission-critical, public-facing systems. Background in AI/ML integrations or data transformation at scale. Knowledge of containerisation and orchestration (Docker, Kubernetes). Detailed specification available. More ❯

Job Summary: We are seeking a Software Developer (APIs & Integrations) to join our team. This is a developer-first role: you will design and build integrations, applications, and data flows across our systems. HubSpot is one of the platforms you’ll work with, so experience with it is a plus — but not required. What matters most is strong … and our internal systems using APIs, webhooks, and custom code. Build backend and frontend components in languages such as Python, Node.js, .NET, or PHP. Develop clean and efficient data pipelines, ensuring performance, accuracy, and security. Where needed, extend HubSpot with APIs, custom objects, or serverless functions — with training/support provided if new to HubSpot. Maintain clean, reusable More ❯

Job Summary: We are seeking a Software Developer (APIs & Integrations) to join our team. This is a developer-first role: you will design and build integrations, applications, and data flows across our systems. HubSpot is one of the platforms you’ll work with, so experience with it is a plus — but not required. What matters most is strong … and our internal systems using APIs, webhooks, and custom code. Build backend and frontend components in languages such as Python, Node.js, .NET, or PHP. Develop clean and efficient data pipelines, ensuring performance, accuracy, and security. Where needed, extend HubSpot with APIs, custom objects, or serverless functions — with training/support provided if new to HubSpot. Maintain clean, reusable More ❯

We are a high-growth scale-up building a cloud SaaS platform that enables industrial and energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Already working with some of the world s leading industrial organisations, this platform is central to our long-term SaaS growth strategy. We re hiring a … analytics and customer-driven ML models Deliver across backend (Java) and frontend (Angular) systems Build secure, scalable cloud infrastructure (AWS) Implement APIs, authentication (SSO/LDAP), and secure data pipelines Develop dashboards and data visualisations to transform complex datasets into actionable insights Strong experience building and delivering cloud-based SaaS products Hands-on expertise with Java … backend) and Angular (frontend) Skilled in AWS cloud services Experience with data visualisation and analytics platforms Knowledge of machine learning, image processing, or predictive analytics Exposure to IoT or industrial data More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations … robotics. Role You’ll be hands-on improving CI/CD pipelines, speeding up Docker builds, and scaling scene processing on Ray. You’ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. … Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations … robotics. Role You’ll be hands-on improving CI/CD pipelines, speeding up Docker builds, and scaling scene processing on Ray. You’ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. … Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations … robotics. Role You’ll be hands-on improving CI/CD pipelines, speeding up Docker builds, and scaling scene processing on Ray. You’ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. … Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy More ❯

The role: Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. Deliver Proven … to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in … deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent More ❯

The role: Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. Deliver Proven … to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in … deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent More ❯

The role: Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. Deliver Proven … to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in … deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent More ❯

quo, building products people love, and having fun along the way. We’re looking for a talented Python Engineer who’s passionate about creating an exceptional real-time data platform that will process and deliver data instantaneously; allowing for instant insights and actions. In finance, these systems are crucial because markets move very quickly, and delays … of even milliseconds can have big consequences. Essential skills: 3+ years of experience in Python development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that … make a real difference. Day to day: Develop and maintain our real-time data streaming pipelines. Write clean, reusable and scalable code. Optimise performance and troubleshoot issues across the platform. Stay up to date with the latest development trends and tools. Collaborate with product and engineering to deliver high-quality features. Benefits: Opportunity to shape a product used More ❯

quo, building products people love, and having fun along the way. We’re looking for a talented Python Engineer who’s passionate about creating an exceptional real-time data platform that will process and deliver data instantaneously; allowing for instant insights and actions. In finance, these systems are crucial because markets move very quickly, and delays … of even milliseconds can have big consequences. Essential skills: 3+ years of experience in Python development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that … make a real difference. Day to day: Develop and maintain our real-time data streaming pipelines. Write clean, reusable and scalable code. Optimise performance and troubleshoot issues across the platform. Stay up to date with the latest development trends and tools. Collaborate with product and engineering to deliver high-quality features. Benefits: Opportunity to shape a product used More ❯

quo, building products people love, and having fun along the way. We’re looking for a talented Python Engineer who’s passionate about creating an exceptional real-time data platform that will process and deliver data instantaneously; allowing for instant insights and actions. In finance, these systems are crucial because markets move very quickly, and delays … of even milliseconds can have big consequences. Essential skills: 3+ years of experience in Python development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that … make a real difference. Day to day: Develop and maintain our real-time data streaming pipelines. Write clean, reusable and scalable code. Optimise performance and troubleshoot issues across the platform. Stay up to date with the latest development trends and tools. Collaborate with product and engineering to deliver high-quality features. Benefits: Opportunity to shape a product used More ❯

drive frontend architecture decisions. Experience building interactive, visual, or media-rich web applications. Desirable (Nice to Have): Experience working with scientific or research-based datasets . Knowledge of data pipelines and structured data processing. Familiarity with performance tuning for high-resolution visualizations in browsers. Exposure to AI/ML workflows, even if not building models directly. More ❯

drive frontend architecture decisions. Experience building interactive, visual, or media-rich web applications. Desirable (Nice to Have): Experience working with scientific or research-based datasets . Knowledge of data pipelines and structured data processing. Familiarity with performance tuning for high-resolution visualizations in browsers. Exposure to AI/ML workflows, even if not building models directly. More ❯

We are a high-growth scale-up building a cloud SaaS platform that enables industrial and energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the mission control for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working … and architecture of a SaaS platform Deliver across backend (Java) and frontend (Angular) systems Build secure, scalable cloud infrastructure (AWS) Implement APIs, authentication (SSO/LDAP), and secure data pipelines Develop dashboards and data visualisations to transform complex datasets into actionable insights Partner with leadership to define the technical vision and roadmap Scale into a leadership … SaaS products Hands-on expertise with Java (backend) and Angular (frontend) Skilled in AWS cloud services Solid understanding of APIs, authentication, and security protocols (SSO, LDAP) Experience with data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves: Knowledge of machine More ❯

We are a high-growth scale-up building a cloud SaaS platform that enables industrial and energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the “mission control” for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working … and architecture of a SaaS platform Deliver across backend (Java) and frontend (Angular) systems Build secure, scalable cloud infrastructure (AWS) Implement APIs, authentication (SSO/LDAP), and secure data pipelines Develop dashboards and data visualisations to transform complex datasets into actionable insights Partner with leadership to define the technical vision and roadmap Scale into a leadership … SaaS products Hands-on expertise with Java (backend) and Angular (frontend) Skilled in AWS cloud services Solid understanding of APIs, authentication, and security protocols (SSO, LDAP) Experience with data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves: Knowledge of machine More ❯

We are a high-growth scale-up building a cloud SaaS platform that enables industrial and energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the “mission control” for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working … and architecture of a SaaS platform Deliver across backend (Java) and frontend (Angular) systems Build secure, scalable cloud infrastructure (AWS) Implement APIs, authentication (SSO/LDAP), and secure data pipelines Develop dashboards and data visualisations to transform complex datasets into actionable insights Partner with leadership to define the technical vision and roadmap Scale into a leadership … SaaS products Hands-on expertise with Java (backend) and Angular (frontend) Skilled in AWS cloud services Solid understanding of APIs, authentication, and security protocols (SSO, LDAP) Experience with data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves: Knowledge of machine More ❯

We are a high-growth scale-up building a cloud SaaS platform that enables industrial and energy clients to manage fleets of autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the “mission control” for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working … and architecture of a SaaS platform Deliver across backend (Java) and frontend (Angular) systems Build secure, scalable cloud infrastructure (AWS) Implement APIs, authentication (SSO/LDAP), and secure data pipelines Develop dashboards and data visualisations to transform complex datasets into actionable insights Partner with leadership to define the technical vision and roadmap Scale into a leadership … SaaS products Hands-on expertise with Java (backend) and Angular (frontend) Skilled in AWS cloud services Solid understanding of APIs, authentication, and security protocols (SSO, LDAP) Experience with data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves: Knowledge of machine More ❯

WFH Contract Type: Permanent TECHNE are representing exclusively a pioneering Battery Intelligence technology company is redefining how batteries are understood, optimised, and deployed. By combining electrochemistry, software, and data science , they deliver intelligent battery solutions across the full value chain - from automotive and energy storage to heavy-duty applications. They are now seeking a Cloud Application Engineer to … join their growing technical delivery team. This is a 90% technical, 10% customer-facing role focused on building and customising data pipelines , integrating battery analytics into customer frameworks, and collaborating closely with the product and cloud development teams. Role Overview You will act as the primary technical contact on customer-facing projects, translating requirements and providing technical support … and the core cloud development team. The role involves building automated customer pipelines for battery analytics , customising the existing codebase for customer-specific orchestration frameworks, and turning raw data into actionable, business-relevant insights. You’ll also contribute to the ongoing development of the Battery Intelligence Cloud Platform , helping to accelerate global electrification by improving the performance, safety More ❯