1,126 to 1,150 of 1,229 Data Pipeline Jobs in the UK excluding London

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations of models What we’re More ❯

to guide small, inexperienced client teams in a collaborative yet authoritative manner. You will play a key role in shaping and delivering solutions built on open-source technologies, data pipelines, vector stores, and Generative AI (GenAI) capabilities, with an emphasis on integrating Large Language Models (LLMs). Key Responsibilities Leadership & Collaboration: Lead and mentor small client teams with … clearly to technical and non-technical audiences. Build strong relationships with client stakeholders, ensuring alignment on objectives and expectations. Technical Delivery: Design, implement, and document end-to-end data and GenAI solutions using open-source and cloud-based components. Develop and maintain data pipelines, vector databases, and LLM integrations. Configure and optimize solutions on Microsoft Azure … communication and presentation skills. Strong team player with a collaborative, mentoring mindset. Hands-on experience with open-source technologies across front-end and back-end systems. Proficiency in data pipelines, vector stores, and Generative AI/LLM implementations. Working knowledge of Microsoft Azure Cloud services, including configuration and deployment. Strong documentation and reporting skills. Desirable Current DV Clearance More ❯

entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives … for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world's largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

Job Requisition #: R257498 Date posted: Oct. 21, 2025 Job description About this role Technical Writer – APIs & Event Streaming (Aladdin Studio) Aladdin Studio is transforming how developers and data engineers interact with the Aladdin ecosystem — enabling teams to build, integrate, and extend the Aladdin platform through open APIs and event-driven workflows. We're seeking an experienced Technical … for the Aladdin Studio developer platform. You'll play a pivotal role in helping developers and integration partners understand how to connect to Aladdin's services, leverage streaming data, and build innovative applications on top of our platform. Key Responsibilities Develop and maintain clear, accurate, and engaging documentation for Aladdin Studio's APIs, SDKs, and event streaming interfaces. … and developer experience teams to translate complex technical concepts into approachable guides, tutorials, and reference materials. Document event-driven workflows, including streaming APIs, webhook subscriptions, and real-time data integration patterns. Design and implement content structures that scale across multiple APIs, microservices, and event channels within Aladdin Studio. Contribute to tooling and automation, using OpenAPI/AsyncAPI specs More ❯

Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow … AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability … person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid education and More ❯

Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow … AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability … person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid education and More ❯

Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow … AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability … person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid education and More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

ISO 27001, SOC 2) ensuring we meet regulatory and customer trust requirements. Build and maintain relationships with auditors, ensuring smooth audit processes Address AI-specific compliance requirements around data usage, model governance Build a comprehensive security program that scales with our AI training and inference infrastructure Partner closely with engineering and Devops to embed "secure by default" principles … into our architecture and development lifecycle. Secure our model training infrastructure: distributed GPU clusters, data pipelines, training datasets Protect inference infrastructure: model serving endpoints, API gateways, and production deployment pipelines Ensure secure model versioning, storage, and deployment practices Implement access controls and audit trails for sensitive training data and model weights Manage and scale our IT More ❯

network issues, driver issues, troubleshooting common issues and then working with vendor support to resolve any critical issues. Security and access control: Manage user permissions, RBAC, security hardening, data protection. Required Skills & Experience 10 years of experience (or equivalent) in technical support, system engineering, or platform operations Strong understanding of L1 and L2 support processes (ticketing, escalation, troubleshooting … Familiarity with cloud-based platforms, APIs, and distributed systems Understanding of AI/ML concepts and tooling (model training, inference, data pipelines basics) Experience with monitoring/logging tools (e.g., Grafana, Kibana, Splunk) Excellent communication skills to interface with both customers and internal/vendor teams Good understanding of tools requirements for ML engineers and data More ❯

production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high … impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer More ❯

production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high … impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer More ❯

production-grade AI systems and tools. The Role As a Python Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high … impact opportunity to shape the engineering foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer More ❯

cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS (Lambda, Glue, ECS, S3, etc.) Python and PySpark (data pipelines, APIs, automation) TypeScript and React (frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models … anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). In return, you will be rewarded with a highly competitive salary, annual bonus, performance bonus and an enviable benefits package. Hybrid working 3 days a week in More ❯

cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS?(Lambda, Glue, ECS, S3, etc.) Python and PySpark?(data pipelines, APIs, automation) TypeScript and React?(frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection models … anomaly detection, and rule-based systems. Clear understanding of secure coding practices and data privacy principles. Exposure to CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). In return, you will be rewarded with a highly competitive salary, annual bonus, performance bonus and an enviable benefits package. Hybrid working 3 days a week in More ❯

Software Engineer AI & Data Systems £40,000 to £90,000 (DOE) + performance bonus Permanent Hybrid UK nationals only | Must hold SC clearance About the Role An innovative UK technology company is developing a next-generation AI platform designed for defence and health applications. Were looking for a Software Engineer who thrives on learning quickly, solving complex technical … Youll Work On Design, build, and scale intelligent systems and microservices Develop AI-driven capabilities (e.g. LLMs, retrieval-augmented generation (RAG), and AI agents) Build and maintain APIs, data pipelines, and backend components (primarily Python, FastAPI, or Flask) Engineer robust, containerised architectures using Docker and Kubernetes Work with ElasticSearch, Weaviate, Pinecone, and other vector databases Help deliver high … premise systems Passionate programmer with a problem-solving mindset Quick learner who enjoys exploring new technologies Familiarity with microservice architectures and containerisation (Docker/K8s) Experience in AI, data engineering, or distributed systems Flexible, collaborative, and adaptable, comfortable wearing many hats in an SME environment Security Check (SC) cleared, British nationals only (no dual nationality) Why Join? Shape More ❯

Software Engineer – AI & Data Systems £40,000 to £90,000 (DOE) + performance bonus Permanent Hybrid (1 day per week in the week, 4 days remote) UK nationals only (no dual nationality) | Must hold SC clearance About the Role An innovative UK technology company is developing a next-generation AI platform designed for defence and health applications. We … ll Work On Design, build, and scale intelligent systems and microservices Develop AI-driven capabilities (e.g. LLMs, retrieval-augmented generation (RAG), and AI agents) Build and maintain APIs, data pipelines, and backend components (primarily Python, FastAPI, or Flask) Engineer robust, containerised architectures using Docker and Kubernetes Work with ElasticSearch, Weaviate, Pinecone, and other vector databases Help deliver high … premise systems Passionate programmer with a problem-solving mindset Quick learner who enjoys exploring new technologies Familiarity with microservice architectures and containerisation (Docker/K8s) Experience in AI, data engineering, or distributed systems Flexible, collaborative, and adaptable, comfortable wearing many hats in an SME environment Security Check (SC) cleared, British nationals only (no dual nationality) Why Join? Shape More ❯

Our platform replaces weeks of traditional market research with seconds of AI-powered simulation, achieving 92% accuracy validated against real-world data. Founded by Ben Warner (former Chief Data Advisor to the UK Prime Minister, architect of the 2019 election model) and Alex Cooper (19-year British Army veteran, Director of UK mass COVID testing), we serve leading … build the next generation of applied AI tools. What You’ll Do Build and ship production features end-to-end across Python , SQL , and Next.js . Design APIs, data pipelines, and UIs that make complex model outputs intuitive and actionable. Own architecture and design decisions — schemas, modularisation, and system patterns. Refactor and optimise existing systems for performance and … and CI/CD experience. Product-focused mindset and attention to code quality. Comfortable working on-site in a fast-paced, collaborative startup. Nice to Have Experience with data-heavy or high-throughput systems. Exposure to applied AI or LLM integrations (no model training required). Familiarity with GCP , especially IAM, networking, and security. Why Electric Twin Impact More ❯

Our platform replaces weeks of traditional market research with seconds of AI-powered simulation, achieving 92% accuracy validated against real-world data. Founded by Ben Warner (former Chief Data Advisor to the UK Prime Minister, architect of the 2019 election model) and Alex Cooper (19-year British Army veteran, Director of UK mass COVID testing), we serve leading … build the next generation of applied AI tools. What You’ll Do Build and ship production features end-to-end across Python , SQL , and Next.js . Design APIs, data pipelines, and UIs that make complex model outputs intuitive and actionable. Own architecture and design decisions — schemas, modularisation, and system patterns. Refactor and optimise existing systems for performance and … and CI/CD experience. Product-focused mindset and attention to code quality. Comfortable working on-site in a fast-paced, collaborative startup. Nice to Have Experience with data-heavy or high-throughput systems. Exposure to applied AI or LLM integrations (no model training required). Familiarity with GCP , especially IAM, networking, and security. Why Electric Twin Impact More ❯