301 to 325 of 395 Data Engineering Jobs in the UK excluding London

VP of AI/ML and Data ?? UK - Cardiff, London or Remote (with occasional travel) ?? £100,000 - £200,000 total package What You'll Do: Define and lead the company-wide AI and data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish a … modern data platform using Fabric, Databricks or similar technologies to power predictive analytics and automation. Deliver the business's first AI-powered products and tools , such as intelligent search, document OCR and insight-driven reporting. Partner with product and engineering to turn customer requirements into scalable AI solutions. Champion an AI-first culture , embedding automation and data … the organisation. What You'll Bring: Proven experience delivering AI/ML capabilities in production , ideally within a SaaS or enterprise setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and AI disciplines. Background in cloud-based data platforms - Microsoft Fabric, Databricks, Snowflake, AWS or Azure . More ❯

Are you ANALYSING your next career choice? Well, you're in luck as Perch Group are recruiting for a Senior Data Analyst. At Perch Group , our vision is clear: to lead the UK debt purchase and collection industry by harnessing cutting-edge technology to drive ethical, efficient, and data-driven debt resolution. Our annual mission is to empower … success. What are we looking for? We are seeking a proactive and experienced individual to join our growing Analytics function. The successful candidate will be responsible for leveraging external data effectively in collections strategies across our group companies. This is a wide role with large scope for impact : we are a data driven business and take data from a wide range of suppliers. You will be equally comfortable designing and building data pipelines as you are assessing ROI of multiple suppliers and optimising commercial models . You will ensure that the business has control and oversight of the data we ingest and use as well as proactively identifying opportunities and working cross-functionally to More ❯

transform how clients in nuclear, defence, water and beyond manage critical infrastructure. Work with the Best: Collaborate daily with a vibrant, multi-disciplinary team of consultants including geospatial experts, data scientists and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure … Learning, thrive in dynamic teams and want to make a real-world impact with geospatial technology, we want to hear from you. The role will involve contributions across Geospatial & Data Engineering, AI & Innovation, and Collaboration & Leadership: Collaborating with Tetra Techs digital solutions teams across the globe. Leverage and fine-tune foundation models and AI/ML techniques to … Management Business Unit. Mentor colleagues in best practices and support them in identifying opportunities to apply technology for automation and workflow optimisation. Develop user-friendly tools and analyses, automating data ingestion, transformation, and loading using Python. Build reproducible workflows and apply software engineering best practices, including CI/CD and version control. Design, implement and optimise business Extract More ❯

SC Clearance. Join a European leader in AI-driven technology, delivering innovative surveillance solutions that enhance safety and save lives. They provide cutting-edge services combining real-time intelligence, data, and AI to transform operational outcomes globally. About the Role We are seeking an MLOps Engineer to manage and optimise the machine learning lifecycle, from development to deployment and … monitoring. You will work closely with data scientists, software engineers, and IT teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring. - Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably. - CI/CD Integration … deployed models with automated monitoring, logging, and alerting. - Collaboration: Work with cross-functional teams to deliver solutions that meet technical and business requirements. - Security & Governance: Implement best practices for data security, model governance, and compliance. - Documentation & Innovation: Maintain clear documentation and stay updated on MLOps trends and technologies. Profile & Requirements - Bachelor’s or Master’s in Computer Science, Data More ❯

Senior Software Engineer (Data-Centric) Manchester or South London (Hybrid - 2 x a week in office) £70,000 - £85,000 + 10% bonus + excellent benefits Our client is a global self-defence intelligence and technology organisation helping governments and defence agencies act with confidence. They use AI, graph databases, cloud, and search technologies to deliver faster, smarter decision … globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We're Looking For 5+ years' experience in software or … Proven ability to deliver reliable, scalable systems using cloud technologies (AWS preferred). Strong understanding of system design , API-first development , and SDLC best practices . Experience with complex data systems - structured, unstructured, or graph-based. Curious, proactive, and comfortable "rolling your sleeves up" to solve hard problems. Why Join? Work on advanced data and intelligence platforms that More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will … work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. YOUR PROFILE Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather … requirements and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

As a Data and Analytics Engineer, you are at the forefront of turning raw data into actionable insights. You develop and maintain solid data infrastructure, creating structured datasets optimised for analysis with modern BI tools and data users. This role combines the technical expertise of data engineering with the strategic understanding of a data More ❯

We’re seeking a Lead Data Engineer to design and deliver scalable data and AI solutions across internal and client projects. You’ll own the full data lifecycle — from ingestion and processing to deployment and monitoring of machine learning models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines … cloud infrastructure (AWS/GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive innovation through proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We’re … Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or More ❯

the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are seeking a skilled and hands-on AWS Data Engineer with strong coding expertise and deep experience in building scalable data solutions using AWS services. The ideal candidate will have a solid background in data engineering, Python development, and cloud-native architecture. YOUR PROFILE Design, develop, and maintain robust data pipelines and ETL workflows using AWS services. Implement scalable data processing solutions using PySpark and AWS Glue. Build and manage infrastructure as code using CloudFormation. Develop and deploy serverless applications using AWS Lambda, Step Functions, and S3. Perform data querying and analysis … using Athena. Collaborate with Data Scientists to operationalize models using SageMaker. Ensure secure and compliant data handling using IAM, KMS, and VPC configurations. Containerize applications using ECS for scalable deployment. Write clean, testable code in Python, with a strong emphasis on unit testing. Use GitLab for version control, CI/CD, and collaboration. Strong coding background in Python More ❯

projects across multiple domains. Key Responsibilities Design, develop, and optimize Transformer-based architectures (GPT, LLaMA, Mistral, Claude) Fine-tune large language models for domain-specific applications Implement advanced prompt engineering strategies Leverage Retrieval-Augmented Generation (RAG) for enhanced contextual performance Build intelligent agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen Apply reinforcement learning techniques including Q-learning , policy gradients … and RLlib Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience with Transformer models and LLMs (GPT … LLaMA, Mistral, Claude) Strong background in fine-tuning and prompt engineering Hands-on experience with RAG pipelines Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Solid understanding of reinforcement learning concepts and tools (Q-learning, policy gradients, RLlib) Azure AI Engineer Associate certification (or willingness to obtain) Bachelor's degree in a relevant field or equivalent combination of education More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS … join a top-tier global law firm who have a long-stream of projects in the pipeline alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm … experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ML Frameworks Generative AI Data engineering knowledge Solution Delivery Design, build, and deploy data science and AI solutions end-to-end, from design and development through testing, release, monitoring, and support. Operationalize models with CI/CD pipelines, automated More ❯

Data Engineer - Sought by Boutique Hedge Fund - Permanent - London Salary : £95 - 125k + Bonus About the Role : Build and operate data pipelines and analytics platforms in the cloud. Work with engineers and analysts to design, implement, and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL … Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills: Hands-on software development and data engineering experience. Must have strong financial or trading background. Strong Python & SQL skills: writing clean, testable code following SOLID principles. Hands-on experience using Athena, Trino, ClickHouse, or other distributed SQL engines and knowledge of cost/scan optimization. … Experience with cloud platforms (AWS/Azure/GCP): working with object storage, managed query services, and data catalogs. More ❯

for the right candidate. A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability. This role … suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices. What you'll be doing: MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high … tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost. Knowledge Transfer: Act as the technical lead to embed MLOps standards More ❯

strategic initiative within Financial Services aimed at delivering a unified, trusted view of customer data. We're seeking a highly skilled Lead Databricks Engineer to design and implement scalable data pipelines that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance to support this critical programme. Lead Databricks Engineer: Key Responsibilities Build and maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze … Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring, logging, and error-handling frameworks. Integrate pipelines with downstream systems such as Power BI . Collaborate with analysts, business teams, and engineers to deliver consistent, well-documented datasets. Support deployments and automation via Azure DevOps CI/CD . Gather and refine requirements from business stakeholders. More ❯

Mercator Digital is looking for a Data Specialist to be part of our growing consultancy. We're looking for a dynamic, forward-thinking Data Specialist with excellent communications that wants to learn new technologies and promote best practice. Role Expectations: Understand product owners needs to translate business requirements into analytics requirements and ensure that priorities are met. Create … visualisation of data, conduct deep-dive analysis and share insights & recommendations Ensure data collection and standardisation is met and explain methodologies to stakeholders Communicating efficiently and work together within a multi-disciplinary team, fostering the open and collaborative culture Enable data driven decision making to personalize the journeys of individuals to ensure they have the best and … most appropriate experience Produce product performance dashboards, user segmentation analysis, media agency tagging implementation Produce program dashboards and weekly analysis/information updates Experience Required : Cloud & Data Engineering: Proven experience with Google Cloud Platform (Projects, IAM, Storage, Dataprep), Azure SQL, Cosmos DB, and JSON data handling Digital & Web Analytics: Hands-on expertise with Google 360 (GA, GTM More ❯

SDLC best practices. Proven expertise in cloud-native architecture, ideally within the Microsoft Azure ecosystem. Solid understanding of AI and machine learning solution patterns. Deep knowledge of API design, data integration, and security standards (OAuth2, SSO, encryption). Ability to create clear, well-structured architectural documentation, including diagrams and roadmaps. Excellent communication and stakeholder management skills, with the ability … to bridge business objectives and technical delivery. Desirable Skills Background in full-stack or backend engineering, using technologies such as Python, TypeScript, or .NET. Experience with data engineering and data architecture concepts. Familiarity with MLOps practices and AI development frameworks (e.g., Azure AI, LangChain, Hugging Face). Relevant certifications in Azure Architecture, Data, or AI More ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support … financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting … models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial More ❯

Contribute to clear and concise documentation for software, processes, and systems to ensure team alignment and knowledge sharing. Your Qualifications Experience: Professional experience in Python development or related software engineering roles. Python Proficiency: Strong knowledge of Python, including experience with web frameworks like Django, Flask, or FastAPI. Database Management: Solid experience with relational databases like PostgreSQL or MySQL and … functional teams. Cloud Services: Experience with cloud platforms like AWS, GCP, or Azure. DevOps Tools: Familiarity with containerization (Docker) and infrastructure automation tools like Terraform or Ansible. Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark, Databricks, or similar … big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or other stream processing frameworks is a plus. Desired Skills Asynchronous Programming: Familiarity with asynchronous programming tools like Celery More ❯

We are currently looking for a Senior Client Insight Analyst to join our Insight Team and are keen to hear from experienced data and insight specialists looking to further their career. As a Senior Client Insight Analyst, you'll be the driving force behind understanding our clients-and helping us anticipate their needs. By providing meaningful insights on our … clients, you will be central to improving client experience and helping key stakeholders make critical commercial and strategic decisions. By immersing yourself not only in our own client data, but by considering external influences and our competitors, you will become an important part of the team that understands and explains how the business is performing. We are looking for … stakeholders across our Client and Product teams with insight on our clients and the translating of this in to actions and recommendations Proactively identify trends and opportunities within our data and translate them into improved commercial performance or client experience Depending on priorities, analysts can be seconded on to a variety of project teams that may have specific deliverables More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯