1,251 to 1,275 of 1,358 Data Pipeline Jobs in the UK excluding London

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 ❯

before applying. In this hands-on technical role, you'll design, build, and deploy AI and automation features that make a tangible impact. You'll collaborate with our data and development teams to turn complex business challenges into intelligent, scalable solutions that improve efficiency and deliver measurable value to clients. A typical day would look like the following … Design and develop AI-powered features, agents and automation workflows. Work closely with developers, data engineers, and product teams to integrate AI into production systems. Identify opportunities where AI can drive innovation and operational improvement. Translate business requirements into technical implementations using modern AI tools and cloud technologies. Continuously evaluate and improve the performance and reliability of deployed … agents with strong Python skills and familiarity with key AI frameworks. Experience delivering Gen-AI and Retrieval-Augmented Generation (RAG) projects. Solid understanding of LLM behavior, prompt engineering, data pipelines, APIs, and model deployment. Experience with prompt engineering or frameworks like LangChain. Knowledge of handling compliance-sensitive data in AI contexts. A problem-solving mindset and 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 ❯

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 ❯

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 ❯

Agentic AI - building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you'll design the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve themselves - transforming raw model power into adaptive, high-performing AI systems. What You'll Do: Build Agentic Systems - Develop … and execute multi-step tasks autonomously. Enhance LLM Reasoning - Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding. Design Scalable Frameworks - Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration and feedback loops. Collaborate with Research Teams - Translate experimental findings into production-grade systems that extend the autonomy and More ❯

Our client is a pioneering systematic hedge fund, redefining electronic trading through high-performance, data-driven solutions. As part of their Crypto desk, you'll join a cutting-edge team operating across centralised and decentralised markets, leveraging AI and ML to drive automation, enhance decision-making, and scale a fully automated global trading platform. This is a unique … scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise automated trading strategies. Integrate alternative datasets and build intelligent data pipelines to support research and execution. Monitor and manage the lifecycle of AI-driven systems in production environments. Requirements 6+ years of professional software development experience, ideally in a More ❯

first AI R&D function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value fast Work with the AI Advisory … Board to shape strategic direction Upskill the wider engineering team in AI-first principles You'll be turning raw data into smart systems that help schools, teachers, and students make better decisions - creating intelligent products that learn, adapt, and evolve. What Makes You a Fit You're part engineer, part innovator. Someone who can move from concept to … understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you're confident designing APIs, microservices, and data pipelines. Maybe you've come from an academic background and now want to apply your research commercially. Or maybe you're an experienced software engineer who's already delivering More ❯

Our client is a pioneering systematic hedge fund, redefining electronic trading through high-performance, data-driven solutions. As part of their Crypto desk, you'll join a cutting-edge team operating across centralised and decentralised markets, leveraging AI and ML to drive automation, enhance decision-making, and scale a fully automated global trading platform. This is a unique … scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise automated trading strategies. Integrate alternative datasets and build intelligent data pipelines to support research and execution. Monitor and manage the lifecycle of AI-driven systems in production environments. Requirements 6+ years of professional software development experience, ideally in a More ❯

first AI R&D function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value fast Work with the AI Advisory … Board to shape strategic direction Upskill the wider engineering team in AI-first principles You’ll be turning raw data into smart systems that help schools, teachers, and students make better decisions — creating intelligent products that learn, adapt, and evolve. What Makes You a Fit You’re part engineer, part innovator. Someone who can move from concept to … understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve come from an academic background and now want to apply your research commercially. Or maybe you’re an experienced software engineer who’s already delivering More ❯

first AI R&D function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value fast Work with the AI Advisory … Board to shape strategic direction Upskill the wider engineering team in AI-first principles You’ll be turning raw data into smart systems that help schools, teachers, and students make better decisions — creating intelligent products that learn, adapt, and evolve. What Makes You a Fit You’re part engineer, part innovator. Someone who can move from concept to … understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve come from an academic background and now want to apply your research commercially. Or maybe you’re an experienced software engineer who’s already delivering More ❯

first AI R&D function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value fast Work with the AI Advisory … Board to shape strategic direction Upskill the wider engineering team in AI-first principles You’ll be turning raw data into smart systems that help schools, teachers, and students make better decisions — creating intelligent products that learn, adapt, and evolve. What Makes You a Fit You’re part engineer, part innovator. Someone who can move from concept to … understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve come from an academic background and now want to apply your research commercially. Or maybe you’re an experienced software engineer who’s already delivering More ❯