276 to 300 of 338 Data Pipeline Jobs in the UK excluding London

plus 28.9% employer pension contributions, hybrid working with 60% home working, flexible hours, and great work life balance. Would you like to kickstart a career in data and technology while gaining a recognised qualification in a supportive, diverse environment? DWP. Digital with Purpose. We're offering a fantastic opportunity to join our Level 5 Data Engineering … UK's largest and most impactful digital organisations. At DWP Digital, we design and build the technology behind vital services like Universal Credit, pensions, and child maintenance. Our data engineers play a key role in making sure these services are powered by reliable, high-quality data, helping teams make better decisions and improving outcomes for millions … of people. As an apprentice, you'll join our Data Platforms and Operations team , working with cloud technologies like AWS and tools such as Informatica. You'll learn how to build and maintain data pipelines, support platform migrations, and help deliver data products that are secure, efficient, and user-focused. You'll be supported More ❯

Geospatial Specialist/Developer will support project delivery and tendering operations by providing reliable, efficient, and insightful geospatial services. This role involves developing tools, automating processes, and creating data-driven applications to enhance geospatial workflows across the business. The successful candidate will play a key role in promoting geospatial thinking across disciplines, with a focus on data … Prepare and manage project mapping deliverables, datasets, and spatial databases. Provide geospatial input for tendering activities, including baseline mapping, statistics, and spatial analysis. Maintain the company's geospatial data infrastructure to ensure consistency across projects. Contribute geospatial insights to reports, charts, and presentations. Integrate and manage spatial data from multiple sources. Support spatial QA/QC … and the standardisation of geospatial outputs. Geospatial Development Design, develop, and maintain geospatial tools to automate workflows supporting offshore surveys, 3D modelling, and spatial data analysis. Build and maintain reusable scripts and ETL pipelines (e.g., QGIS, Python, JavaScript). Develop and support web-based and/or script-driven geospatial applications. Explore advanced methods for spatial data More ❯

scalable APIs (Flask/FastAPI) for internal and external tools. Partner with business users to gather requirements and iterate quickly on solutions. Implement testing frameworks, version control, and data validation processes. Integrate with market data, storage systems, and reporting platforms. Required Skills 5+ years' Python development experience, ideally within trading, risk, or financial services. Strong background … with Pandas, NumPy, and data science libraries . Hands-on experience with Flask or FastAPI for API development. Proficiency in time-series data manipulation and back-testing methods. Experience working with large datasets and real-time data pipelines . Strong performance optimisation and debugging skills. Confident communicator with the ability to liaise directly with … business stakeholders. Desirable Skills Experience in commodities indices, structured products, or index engineering . Knowledge of market data feeds (Bloomberg, Refinitiv, etc). Familiarity with containerisation (Docker) and cloud platforms (AWS/GCP). Database experience (SQL/NoSQL) and use of modern data formats (Parquet, HDF5). Contract: Initial term with possible extension Day Rate More ❯

About the Role Outside IR35 £200 - £300Initial 6 month contract - high possibility of 18 monthsOur client is hiring a Data Scientist – AI/ML Engineer to join our Core AI Services team. You’ll be at the forefront of designing and scaling cloud-native AI platform services and APIs that enable enterprise-wide AI adoption. Working within a … native services on Microsoft Azure , including Azure Functions, AKS, and API Management. Develop secure, well-documented RESTful APIs and SDKs , managing their full lifecycle. Deliver end-to-end data pipelines , orchestration, and service APIs. Deploy and manage AI models and tooling for enterprise-scale adoption. Embed security best practices around authentication, authorization, and data privacy. Participate … learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and More ❯

Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. Build Python-based microservices, data pipelines, and serverless functions. Collaborate with stakeholders to translate data and AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least … years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku … in Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone … passionate about impactful data work and modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step More ❯

New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone … passionate about impactful data work and modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step More ❯

New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone … passionate about impactful data work and modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step More ❯

ArcGIS Pro, ArcGIS Online integration). Solid working knowledge of SQL querying and tuning, particularly with experience in PostgreSQL/PostGIS. Familiarity with API integrations, web services, and data pipelines (e.g., Python, FME, REST APIs). Demonstrated ability to manage product roadmaps, backlogs, and Agile delivery cycles. Excellent communication skills with the ability to translate technical capabilities into … business value. Strong stakeholder management and facilitation skills. Familiarity with BI/analytics platforms (e.g., Power BI, Tableau) for spatial data integration. Some industry experience preferred but not essential Click here to download the full job specification. Please ensure you read this before applying. What we offer you: Career and Professional Development 25-30 Days Annual Leave, depending … Assurance Private Medical Scheme Virtual GP Global Mobility Scheme Rewards Platform Company Pension Scheme Enhanced Incremental Annual Leave Find out more about Savills offer Team Overview The Insight & Data team support Savills technology initiatives through the creation of applications to support fee earners to target opportunities using data. The team comprises over 30 people across three countries, with More ❯

business units. ️ Design AI-based architectures and recommend appropriate tools, technologies, and methodologies ️ Collaborate with business leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate … compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD ️ Define enterprise AI standards and ensure reusability of components ️ Mentor data scientists and engineers in applying best practices ️ Present technical documentation and demos to internal and external stakeholders ️ Build prototypes to validate AI use cases and accelerate adoption ️ Ensure AI More ❯

AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents, ensuring reliability and performance Working closely with ML engineers and researchers to integrate infra with production workloads What you … in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience. This is a unique opportunity to join a visionary team redefining AI in 3D , with the chance to make a real impact at the cutting edge of More ❯

The Role Unite Students have an exciting opportunity for a Business Intelligence Developer to join our Data & Insight team in Bristol on a six month fixed-term contract. As we upgrade our data platform to modernise our analytics and AI capabilities, you will play a pivotal role in our enterprise-wide transformation programme, rebuilding our most … business-critical Tableau dashboards using data from our new platforms. Reporting to the Senior Analytics Manager, you will work at pace to deliver high-quality, user-friendly dashboards that enable commercial teams to make confident, data-driven decisions. Alongside this, you may also contribute to smaller projects across the business, supporting the team`s wider objectives. … Recreate and enhance business-critical sales dashboards in Tableau, ensuring accuracy and usability. Partner with stakeholders to understand requirements and translate them into clear, actionable dashboards. Collaborate with data engineers to ensure data pipelines and models align with reporting needs. Work within a multi-capability project team, contributing to the successful delivery of the wider transformation More ❯

prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in More ❯

prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in More ❯

rebalancing logic Attribution and decomposition analytics Build robust APIs using FastAPI or Flask Collaborate directly with business users to gather requirements and iterate quickly Implement testing, versioning, and data validation processes Ensure integration with internal data sources and reporting tools Required Skills 5+ years of Python development experience, ideally in financial services or commodities Strong proficiency … in Pandas , NumPy , and time-series data manipulation Proven experience with FastAPI or Flask Familiarity with large datasets and real-time data pipelines Excellent debugging, profiling, and performance optimization skills Strong communication skills and ability to work with non-technical stakeholders Preferred Skills Experience with commodities indices or structured products Knowledge of market data More ❯

Testing Team with high quality QA Testers in preparation for project work commencing in October. About the Programme You ll join a Transition & Transformation programme migrating systems and data across a financial services landscape (mortgages, savings, core banking and digital/mobile). You ll work day-to-day with our delivery team and our clients SMEs to … plan, execute and assure end-to-end testing across applications, integrations and data pipelines. What You ll Do Execute E2E testing: Author and run functional, system, SIT, UAT support and regression suites across web, mobile (iOS/Android), and back-office systems. Defect management: Triage, track and report defects (Jira/Azure DevOps), drive resolution with development and … SME teams. Data migration testing: Validate mappings, perform sample-based and full reconciliations, prove data quality and completeness before/after cutover Non-functional support: Contribute to performance, reliability and basic security test activities (e.g., JMeter, OWASP awareness). Environment & test data: Coordinate environments, seed/refresh masked datasets, maintain repeatable test data More ❯

Testing Team with high quality QA Testers in preparation for project work commencing in October. About the Programme You’ll join a Transition & Transformation programme migrating systems and data across a financial services landscape (mortgages, savings, core banking and digital/mobile). You’ll work day-to-day with our delivery team and our clients SMEs to … plan, execute and assure end-to-end testing across applications, integrations and data pipelines. What You’ll Do Execute E2E testing: Author and run functional, system, SIT, UAT support and regression suites across web, mobile (iOS/Android), and back-office systems. Defect management: Triage, track and report defects (Jira/Azure DevOps), drive resolution with development and … SME teams. Data migration testing: Validate mappings, perform sample-based and full reconciliations, prove data quality and completeness before/after cutover Non-functional support: Contribute to performance, reliability and basic security test activities (e.g., JMeter, OWASP awareness). Environment & test data: Coordinate environments, seed/refresh masked datasets, maintain repeatable test data More ❯

the unrestricted right to work in the UK - this organisation is not able to offer sponsorship. Are you a skilled SQL Server Developer looking to take ownership of data solutions in a dynamic environment? This is a fantastic opportunity to design and implement advanced SQL queries, build robust data pipelines, and deliver impactful reporting using Power … BI. Key Responsibilities: Develop and optimise complex SQL queries and stored procedures. Design and implement scalable data pipelines and ETL processes using SSIS. Create and maintain insightful reports and dashboards using Power BI or SSRS. Collaborate with cross-functional teams to understand data requirements and deliver solutions that drive business decisions. Required Skills: Strong SQL Server … development experience. Proficiency with SSIS for ETL and data integration. Experience with reporting tools such as SSRS or Power BI. What's on Offer: Competitive salary up to £50,000. Hybrid working model - 2-3 days per week on-site in Cambridge. Opportunity to work on meaningful data projects with real business impact. To apply for More ❯

Manager, you will be responsible for the pricing of multiple motor and home products, including the following core activities: Maintaining and improving behavioural models, prioritising a range of data science techniques. Advance the adoption of data science & statistical techniques. Develop reporting structures to monitor pricing performance in an automated fashion. Develop innovative solutions to improve rating … increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios Support development of new product offerings … Advance the adoption of the latest data science & statistical techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality More ❯

long-term architecture. Staying hands-on across Node.js, Python, SQL, and LLM/AI integrations. Building scalable APIs to enable integrations and cross-sector expansion. Designing and optimising data pipelines to power analytics and AI-driven insights. Establishing engineering best practices, DevOps, security, and data governance. Growing the team to 12–16 engineers over the next … ideally from seed to Series A. Hands-on coding skills across Node.js, Python, SQL, and APIs. Experience with AI/LLM integrations. Track record of building and scaling data pipelines and working with large datasets. Experience growing and leading high-performing engineering teams. Strong communication skills, able to engage with engineers, partners, and investors. Nice-to-haves: multi … channel systems experience, exposure to complex data sets, strong grounding in enterprise-level security, and DevOps/cloud knowledge. More ❯

long-term architecture. Staying hands-on across Node.js, Python, SQL, and LLM/AI integrations. Building scalable APIs to enable integrations and cross-sector expansion. Designing and optimising data pipelines to power analytics and AI-driven insights. Establishing engineering best practices, DevOps, security, and data governance. Growing the team to 12–16 engineers over the next … ideally from seed to Series A. Hands-on coding skills across Node.js, Python, SQL, and APIs. Experience with AI/LLM integrations. Track record of building and scaling data pipelines and working with large datasets. Experience growing and leading high-performing engineering teams. Strong communication skills, able to engage with engineers, partners, and investors. Nice-to-haves: multi … channel systems experience, exposure to complex data sets, strong grounding in enterprise-level security, and DevOps/cloud knowledge. More ❯

simply health cash plan, an annual discretionary bonus, plus a range of partnership and lifestyle discounts. Your Impact Lead the design, implementation and delivery of software applications and data … integrations aligned to enterprise architecture standards. Take full ownership for documenting systems, workflows and technical processes, ensuring your work is well understood, maintainable and transferable. Guide CI/CD pipeline development and DevOps practices, with a focus on quality, reliability and automation. Develop integration patterns using APIs, data pipelines or messaging systems. Collaborate with the Architecture team More ❯

PLEASE NOTE: We will consider graduates who have a degree inEngineering, Software, IT or a closely related discipline along with data skills. Quest Global is an organisation at the forefront of innovation and one of the worlds fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries. We are … peer review project and technical reports. Work Experience Required Qualifications & Experience: Bachelors degree (minimum) in Engineering , Software, IT or a closely related discipline. Knowledge and awareness of assessing data and producing summary reports. Able to develop a project specification with colleagues, often including those from other engineering disciplines. Able to produce details of specifications, outline designs and recommend … to changing requirements and customer needs. Solution orientated mindset and the ability to consider the bigger picture. Experience with the Microsoft Office Suite (Intermediate+) Comfortable working with unstructured data and building data pipelines . A good awareness of data quality and structure. An eye for detail. More ❯

Why Join? Here, your work means more: Make an impact by shaping AI security frameworks for innovative enterprise projects. Be part of challenging, future-defining programmes in AI, data, and cloud security. Collaborate with industry experts and multidisciplinary teams , while driving standards in one of the most rapidly evolving technology landscapes. The Role As an AI Security Architect … will: Define and implement AI/ML security strategies, standards, and guidelines . Design and own enterprise security architecture for AI/ML systems, CI/CD, and data pipelines. Conduct security risk assessments and threat modelling for AI/ML workloads. Support testing of AI/ML models, including trustworthiness, fairness, bias, and adversarial attack detection. Collaborate … with data scientists, engineers, and stakeholders to embed security controls in AI/ML pipelines. Enforce robust access control, authentication, and encryption standards . Stay ahead of emerging AI security threats, regulations, and frameworks . Provide advisory guidance to cross-functional teams during AI/ML system design and deployment. Contribute to regulatory compliance efforts (EU AI Act More ❯

Cutting-edge trading fund operating at the intersection of data science, finance, and technology. Strategies are fully automated and deployed across global markets, leveraging advanced statistical methods, machine learning, and high-frequency execution. As we continue to scale, we’re seeking a sharp, detail-oriented Investment Risk Analyst to strengthen our risk function and help us stay one … Collaborate with quants and PMs to review model assumptions, position sizing, and leverage constraints Design dashboards, alerts, and tools for proactive risk monitoring Work with engineering to improve data pipelines and risk infrastructure Contribute to risk governance processes and internal reporting What We’re Looking For 2–5 years of experience in investment risk, preferably at a quant More ❯