951 to 975 of 1,055 Data Pipeline Jobs in England

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 ❯

Role Overview Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in Software Engineering. As a Software Engineering Specialist on the Human Data team, you will play a key role in developing high-quality datasets that train and refine large language models. This full-time position is ideal for experienced engineers eager … to apply their technical expertise to advance AI capabilities through close collaboration with world-class research and engineering teams. You will create and curate data in multiple formats including text, voice, and video to help AI systems learn human reasoning, problem-solving, and coding best practices. The role involves designing, evaluating, and refining code in multiple programming languages … to enhance AI-driven coding solutions for enterprise use Design, test, and support distributed systems that power model training and benchmarking Integrate databases and extend schemas for robust data pipelines Implement logging, performance monitoring, and alerting to maintain system health 3. Ideal Qualifications 5+ years of experience working with large codebases 5+ years of experience designing, implementing, deploying More ❯

AI Engineer with active Security Clearance to build and deploy machine learning solutions for government and defence clients. You’ll work on high-impact projects involving LLMs, secure data pipelines, and AI-driven decision systems. What you'll do: Build and deploy AI/ML models in secure environments Work with data and engineering teams to More ❯

AI Engineer with active Security Clearance to build and deploy machine learning solutions for government and defence clients. You’ll work on high-impact projects involving LLMs, secure data pipelines, and AI-driven decision systems. What you'll do: Build and deploy AI/ML models in secure environments Work with data and engineering teams to More ❯

improvement. Direct and motivate a cross-functional team, setting clear priorities and providing decisive leadership to meet project milestones. Translate customer insights into detailed product requirements and develop data-driven roadmaps for continued development. Develop and deliver AI-powered features such as chat functionalities, workflow automation, and document extraction to enhance operational efficiency. Collaborate closely with go-to … stage products and scaling revenue. Hands-on experience using Python to build MVP prototypes for experimentation and market validation. Strong technical literacy, comfortable discussing system architecture, APIs, and data pipelines. Background in mathematics, physics, or related fields, with the ability to apply analytical thinking. Excellent UX instincts with a focus on simplifying complex workflows for users. Data More ❯

improvement. Direct and motivate a cross-functional team, setting clear priorities and providing decisive leadership to meet project milestones. Translate customer insights into detailed product requirements and develop data-driven roadmaps for continued development. Develop and deliver AI-powered features such as chat functionalities, workflow automation, and document extraction to enhance operational efficiency. Collaborate closely with go-to … stage products and scaling revenue. Hands-on experience using Python to build MVP prototypes for experimentation and market validation. Strong technical literacy, comfortable discussing system architecture, APIs, and data pipelines. Background in mathematics, physics, or related fields, with the ability to apply analytical thinking. Excellent UX instincts with a focus on simplifying complex workflows for users. Data More ❯

in a diverse range of projects. As the Systems Developer, you will support and enhance the performance of Supply Chain operations by leveraging SQL knowledge, integration techniques, and data-mapping skills. You will work closely with Supply Chain, IT, and commercial teams, as well as collaborating with stakeholders to implement system enhancements. We are looking for: Strong working … knowledge of SQL Server, including writing queries with CTEs and window functions, and managing data pipelines (SSIS) Advanced proficiency in Microsoft Excel, including VBA A creative problem solver with strong deductive reasoning skills It would be a bonus if you had: Experience with Power BI Experience in retail or supply chain If this sounds of interest, please apply More ❯

in a diverse range of projects. As the Systems Developer, you will support and enhance the performance of Supply Chain operations by leveraging SQL knowledge, integration techniques, and data-mapping skills. You will work closely with Supply Chain, IT, and commercial teams, as well as collaborating with stakeholders to implement system enhancements. We are looking for: Strong working … knowledge of SQL Server, including writing queries with CTEs and window functions, and managing data pipelines (SSIS) Advanced proficiency in Microsoft Excel, including VBA A creative problem solver with strong deductive reasoning skills It would be a bonus if you had: Experience with Power BI Experience in retail or supply chain If this sounds of interest, please apply 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 ❯

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 ❯

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 ❯

and mentor developers, shape sprint processes, introduce best-practice engineering frameworks, and drive continual improvement around performance, security, and scalability.Expect to work closely with product, operations, marketing, and data teams to support player experiences, platform stability, and regulatory needs across real-time, high-availability environments. This role requires someone who thrives in a fast-paced setting and enjoys … constantly evolving product environment Nice to Have Knowledge of gaming integrations, payments, and provider APIs Experience with fraud prevention, security controls, or compliance frameworks Familiarity with platform personalisation, data pipelines, or event-driven systems Exposure to machine learning, AI, or player analytics Ready to lead a high-performing engineering function and build modern gaming technology at scale? Please More ❯

The Role: We are seeking an expert-level Backend Developer to join our dynamic team and contribute to the development of robust, scalable server-side applications and data pipelines. You will primarily work with Spring Webflux and Kotlin (and Java). Although existing expertise in Kotlin is preferred, a deep understanding of Java is acceptable if there's … trading pros to absolute beginners – an intuitive and efficient trading experience. Responsibilities: Design and implement server-side logic using Spring Webflux and Kotlin. Build robust, reliable, fault-tolerant data pipelines that process millions of operations daily. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Develop and maintain APIs, ensuring high performance and More ❯

play a key role in enabling personalised, insight-led marketing activity across a global brand. You'll be the technical specialist supporting the Marketing Communications team, ensuring platforms, data flows, and integrations run smoothly and deliver maximum value. For this CRM Manager role, you'll manage the configuration and optimisation of core Marketing Automation tools, help shape customer … data strategy, and support the delivery of targeted campaigns using technology such as MS Dynamics Customer Insights, analytics platforms, and integrated marketing systems. You'll work closely with marketing, digital, and data teams to improve segmentation, reporting, and automation, making sure the business can execute high-quality, measurable campaigns. Responsibilities: Owning and refining the organisation's … marketing technology platforms to support campaign and insight needs. Managing integrations, data pipelines, and connectivity across systems to ensure reliable and accurate information flow. Collaborating with marketing and data teams to build advanced segmentation, customer insights, and reporting dashboards. Supporting tracking, analytics, and attribution processes to enhance campaign performance measurement. Identifying opportunities to introduce new automation More ❯

play a key role in enabling personalised, insight-led marketing activity across a global brand. You’ll be the technical specialist supporting the Marketing Communications team, ensuring platforms, data flows, and integrations run smoothly and deliver maximum value. For this CRM Manager role, you’ll manage the configuration and optimisation of core Marketing Automation tools, help shape customer … data strategy, and support the delivery of targeted campaigns using technology such as MS Dynamics Customer Insights, analytics platforms, and integrated marketing systems. You’ll work closely with marketing, digital, and data teams to improve segmentation, reporting, and automation, making sure the business can execute high-quality, measurable campaigns. Responsibilities: Owning and refining the organisation’s … marketing technology platforms to support campaign and insight needs. Managing integrations, data pipelines, and connectivity across systems to ensure reliable and accurate information flow. Collaborating with marketing and data teams to build advanced segmentation, customer insights, and reporting dashboards. Supporting tracking, analytics, and attribution processes to enhance campaign performance measurement. Identifying opportunities to introduce new automation More ❯

optimise back-testing tooling, research infrastructure, and algorithmic trading systems that support the firm’s systematic traders. While your focus will be on engineering — including APIs, automation, and data pipelines — you’ll also gain occasional exposure to strategy development and signal testing. Key Responsibilities Design, build, and maintain back-testing frameworks and research tools Develop APIs and automation … execution Collaborate with quants and traders to test and deploy new ideas Build and maintain robust, scalable codebases for live and simulated trading Contribute to continuous improvement across data quality, performance, and reliability Requirements 1–3 years’ professional software development experience (Python preferred) Experience building or maintaining back-testing systems , APIs, or data tools Strong understanding … of algorithms, data structures, and performance optimisation Analytical mindset with interest in systematic trading and quantitative research Nice to Have Exposure to trading systems, market data, or algo/bot development Familiarity with numerical libraries (NumPy, Pandas, Numba, etc.) Understanding of version control, CI/CD, or distributed computing More ❯

optimise back-testing tooling, research infrastructure, and algorithmic trading systems that support the firm’s systematic traders. While your focus will be on engineering — including APIs, automation, and data pipelines — you’ll also gain occasional exposure to strategy development and signal testing. Key Responsibilities Design, build, and maintain back-testing frameworks and research tools Develop APIs and automation … execution Collaborate with quants and traders to test and deploy new ideas Build and maintain robust, scalable codebases for live and simulated trading Contribute to continuous improvement across data quality, performance, and reliability Requirements 1–3 years’ professional software development experience (Python preferred) Experience building or maintaining back-testing systems , APIs, or data tools Strong understanding … of algorithms, data structures, and performance optimisation Analytical mindset with interest in systematic trading and quantitative research Nice to Have Exposure to trading systems, market data, or algo/bot development Familiarity with numerical libraries (NumPy, Pandas, Numba, etc.) Understanding of version control, CI/CD, or distributed computing More ❯

and platform teams during privacy incidents or investigations. Provide technical insight during incident triage, root cause analysis, and remediation planning. Coach teams in privacy-preserving engineering practices, including data minimisation, anonymisation/pseudonymisation, and consent management. Cross-Functional Collaboration Collaborate with Product Owners, Architects, Security Engineers and Lega to ensure privacy compliance is aligned with business and technical … Architecture to embed privacy considerations early in design phases. Contribute to the continuous improvement of privacy engineering practices across the organisation. Experience Technical Expertise: Background in software or data engineering, with hands-on familiarity across data pipelines, APIs, SDKs, client/server tracking, consent tooling, and event-driven systems. Understanding of cloud environments, modern data … Regulatory Literacy: Working knowledge of GDPR, PECR and relevant regulatory guidance from authorities such as the ICO or EDPB. Capable of identifying potential compliance risks and escalating to Data Protection or Legal teams when appropriate. Agile & SAFe Proficiency: Experience embedding Non-Functional Requirements (NFRs) and Behaviour-Driven Development (BDD) practices within agile workflows. Comfortable participating in agile ceremonies More ❯