451 to 475 of 514 Data Engineering Jobs in the UK excluding London

Kickstart Your Career in Tech: Data Engineer & DevOps Roles Codeverse is changing the face of tech by giving underrepresented talent the chance to launch their careers-no degree or past experience required. If you've got the drive, aptitude, and passion, we'll help you get there. What's … the Opportunity? We're recruiting for entry-level roles in: Junior Data Engineering - work with Azure, Databricks, Python, and Power BI Junior DevOps Engineering - get hands-on with CI/CD, cloud platforms, automation tools, and modern engineering practices How It Works: Apply online - we'll More ❯

Data Engineer Pays £40k-£150k Minimum of a 2.1 from a Russel Group University Data Engineer - Python, SQL A key client of OB, who are a pioneering venture, providing the financial and investment markets with technology consulting services are looking to hire a Senior Data Engineer to … their best in class engineering team. This is an incredibly exciting time to join a venture backed by two industry leaders in their respective field, and will come with a great opportunity to work on greenfield projects with the latest technologies in a tech focused environment. Culture is a … to problem solve, as well as being highly motivated with the desire to push themselves to innovate and deal with complex problems and solutions. Data Engineer - Python, SQL Key Skills and Experience: Prior experience working in a Data Engineering role (Financial Services experience a big plus) High More ❯

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as … you'll need to have demonstrable experience in: Working closely with various teams to translate business requirements and front end system steps into available data points within Snowflake for each individual claims process and the end to end customer journey Creating detailed specifications for tables to be built to … support solution, aligned to business need and platform recommendations Creating requirements for additional data points to be made available to feed into different platforms to facilitate the understanding of process deviations for each individual claims process end to end Working closely with CIO and Data Engineering/ More ❯

team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. … deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … provisioning and deployment using IaC tools. Collaborate with team leader to define technical strategies. Requirements: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency More ❯

maintain a lightning-fast, resilient, scalable build system that templates, renders and compiles many languages for many targets - and feeds machine learning algorithms with data about its operation. Ruthlessly optimise, refactor, and deprecate existing production tools, flows, scripts Integrate and optimise use of external-vendor EDA tools & suites Improve … tools (eg. simulation, linting, synthesis) Systemverilog, C/C++, Simulator DPI/VPI Containerization (eg. Docker) Distributed Compute, Orchestration Jenkins Automation Software templating, rendering Data Engineering/Data Science/Machine Learning Who we are Imagination is a UK-based company that creates silicon and software IP More ❯

or operating as an analytical/research professional. About us Like the modern Britain we serve, we're evolving. Investing billions in our people, data, and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. Join us … skill set to build machine learned models to detect and prevent fraud and financial crime. Lead small teams in the development and maintenance of data science products that serve internal and external customers. Work with diverse datasets and efficiently process and learn from them in order to gain insights. … Engage with data engineering teams within the Economic Crime Intelligence lab to help guide how we can best make use of our ECP data. Work closely with stakeholders to understand business problems and help guide where data science solutions could prove fruitful. What you'll need BSc More ❯

new priorities, you’ll set the standard. You’ll engage with technical and non-technical customers and have a positive influence on the wider engineering community. With our encouragement to spend up to 30% of your time on development, innovation, and experimentation, you’ll have the freedom to explore … new possibilities for yourself, and for GCHQ. You don’t need to be a Software Engineer to apply; you might be working in Cloud Engineering and Security, UX, Site Reliability Engineering, Front-End Design, Agile, Solution Architecture, Data Engineering, or Machine Learning Operations. You’ll also More ❯

skill set to build machine learned models to detect and prevent fraud and financial crime. Lead small teams in the development and maintenance of data science products that serve internal and external customers. Work with diverse datasets and efficiently process and learn from them in order to gain insights. … Engage with data engineering teams within the Economic Crime Intelligence lab to help guide how we can best make use of our ECP data. Work closely with stakeholders to understand business problems and help guide where data science solutions could prove fruitful. What you'll need BSc …/MSc in Computer Science, Machine Learning, Mathematics or similar field. Well versed in data science and machine learning techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed More ❯

Founding Engineer - Climate Tech (ML/Data, Python) 📍 Location: London 🌎 Company: Maiven - making climate policy simple | [maiven.tech] 📞 Contact: Georgina Steele (CTO); careers@maiven.tech About Us: At Maiven , we’re on a mission to empower companies to navigate the complex climate policy landscape with ease. We’re building a product … cultivating an empowering, inclusive, and value-driven people-first culture from day one. The Opportunity: This is an exciting role for an ML/Data Engineer with a passion for climate tech. As a founding engineer at Maiven, you will have the unique opportunity to shape our product, influence … company culture, and work alongside a team that deeply cares about helping people develop and succeed. You’ll work closely with the founders and engineering team to set the technical direction of the company. This is a rare opportunity for an ML engineer with a desire to learn and More ❯

deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … best practices in security, cost management, and infrastructure design for cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency … with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. If you have the skills and desire for this, then please email your More ❯

London-based tech company helping clients engage in marketing strategies with audiences in virtual worlds. Your Focus: As a Senior Backend Engineer focused on Data Pipelines and API Optimisation, you’ll be central to our platform's performance and scalability. You’ll design, build, and iterate on the systems … that handle data ingestion, transformation, and delivery - ensuring they are scalable, reliable, and performant. You should have a strong background in backend engineering, particularly around distributed systems, database optimisation, and API development. You’ll work with technologies like JavaScript and TypeScript to build robust services that meet high … standards for performance and reliability. This role is ideal for someone experienced, self-driven, and excited about leading backend projects involving large-scale data handling and API improvements. Your technical leadership will help evolve our infrastructure and mentor other engineers as we scale. Skills, Knowledge, and Expertise Experience 5+ More ❯

resolution. Developing and maintaining documentation related to system interface configurations, user guides, and troubleshooting procedures. Developing integrations between Investran and other enterprise applications, ensuring data accuracy and consistency across systems. Supporting testing of new features and enhancements, ensuring minimal disruption to daily operations. Identifying opportunities for process improvements and … automation within the Investran platform and collaborating with stakeholders to implement solutions. Assisting in preparing reports and data extraction for analysis, audits, and decision-making. Other duties as assigned. The ideal background for this role: Bachelor's or Master's degree (or equivalent higher education) in Information Technology, Data Engineering, or a related field; Proven experience working with enterprise accounting software and/or private equity/investment management software integrations. API Integration experience with MuleSoft and/or API Development experience. Experience in system configuration, customization, and integration of financial applications. Investran or similar platform certifications More ❯

SR2 are currently looking for a highly motivated Senior Data Engineer for financial services start-up company. Location: London | Hybrid (2-3 days a week onsite). Salary: £75,000 - 90,000. Ideal background://Strong experience with building data pipelines in the cloud (AWS)./… .//Familiar with BigQuery, Snowflake, Firebolt and/or Amazon (preferred).//Ability to work on messy, complex real-world data challenges.//Knowledge of BI Tools (Looker, Tableau or Power BI).//Experience with ML Libraries would be a big plus … in finance previous would be beneficial but not essential. This company is seeking someone with a great personality, who has a real passion for Data Engineering and is willing to work hard to excel their career quickly. Ambition is key! You must have full right to work in More ❯

a role where innovation and problem-solving take center stage?Wed love to hear from you! At Katchr , we empower businesses by turning raw data into actionable insights. As a SQL BI Developer , youll play a critical role in both new client projects and ongoing change requests, ensuring our … customers get the most value from their investment. Whether designing scalable data solutions, optimising complex queries, or delivering meaningful reports, youll be at the heart of our data-driven mission. What Youll Be Doing: Project Delivery Work closely with business analysts and stakeholders to turn requirements into technical … solutions, ensuring seamless implementations. Change Requests & Enhancements Review, prioritise, and deliver customer-driven change requests, balancing efficiency with high-quality outcomes. Data Engineering & BI Development Design, build, and optimise SQL-based solutions, from ETL pipelines to performance-tuned reports. Customer Collaboration Maintain proactive communication with customers, ensuring transparency More ❯

scalable compute solutions to enable efficient processing and real-time interactions. Event-Driven Architecture : Build and maintain systems that facilitate scalable and real-time data processing. Efficient Workflow Management : Implement solutions to streamline complex AI processes and facilitate automation. Real-Time Communication : Enhance communication frameworks to improve user experience … across our platforms. Document Management Solutions : Develop indexing and retrieval systems for efficient document handling. Data Pipeline Creation : Design ETL pipelines to collect and process data from a variety of sources. Infrastructure Decision-Making : Advocate for architectural decisions that ensure scalability, reliability, and cost efficiency. Support for Research … Teams : Provide infrastructure and tools that empower our AI and data research initiatives. Tech Stack: Full-Stack Development : TypeScript, React, Next.js, Tailwind, Prisma Database Management : PostgreSQL, MongoDB, Redis Cloud Solutions : AWS, Google Cloud, Serverless Architectures Data Pipelines : DBT, BigQuery, Terraform Backend Programming : Python Qualifications: Backend Development Proficiency : Strong More ❯

role where innovation and problem-solving take center stage?We'd love to hear from you! At Katchr , we empower businesses by turning raw data into actionable insights. As a SQL BI Developer , you'll play a critical role in both new client projects and ongoing change requests, ensuring … our customers get the most value from their investment. Whether designing scalable data solutions, optimising complex queries, or delivering meaningful reports, you'll be at the heart of our data-driven mission. What You'll Be Doing: Project Delivery - Work closely with business analysts and stakeholders to turn … requirements into technical solutions, ensuring seamless implementations. Change Requests & Enhancements - Review, prioritise, and deliver customer-driven change requests, balancing efficiency with high-quality outcomes. Data Engineering & BI Development - Design, build, and optimise SQL-based solutions, from ETL pipelines to performance-tuned reports. Customer Collaboration - Maintain proactive communication with More ❯

Reinforcement Learning & LLMs (London, In-person) VC-backed generative AI startup building platform to take LLM-powered tasks to 99%+ accuracy. Early-stage, engineering-led, everyone codes. Role: Build, train and optimise LLM systems capable of beating industry benchmarks. Deploy robust generative AI systems end-to-end in … production, that constantly learn. Build rigorous evaluation suites. About you: Exceptional software engineering ability with startup experience. Curious and loves to solve hard problems with first-principles thinking. Requirements: Experience deploying LLMs into production. Experience with deep reinforcement learning. Strong ML/data science and data engineering More ❯

responsible to develop scalable solutions by working directly with product development team. Our team culture is oriented towards equality in the realm of software engineering irrespective of hierarchy promoting innovation. One should feel empowered to iterate over ideas and experimentation without being afraid of failure. Responsibilities and Impact: You … S&P ratings business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. Develop design and architecture exposure and ability to ensure quality across various technology components that are … and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests Experience writing SQL queries and good understanding of data model, python knowledge is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.) Experience in More ❯

code review systems, and are capable of producing high-quality prototypes and production code. They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep … learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive More ❯

code review systems, and are capable of producing high-quality prototypes and production code. They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep … learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive More ❯

decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and … business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation/transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. … Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data More ❯

decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and … business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation/transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. … Prototype and testing AI models before full-scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data More ❯

organization. Primary Responsibilities: Manage and support the Fenergo application, ensuring it meets business requirements and operates efficiently. Support the design, development, and implementation of Data Management strategies for Fenergo. Provide ongoing system administration, troubleshooting, and issue resolution. Conduct regular system maintenance, including updates, patches, and system health checks. Develop … and maintain documentation related to system configurations, user guides, and troubleshooting procedures. Support integration efforts between Fenergo and other enterprise applications, ensuring data accuracy and consistency across systems. Support testing of new features and enhancements, ensuring minimal disruption to daily operations. Identify opportunities for process improvements and automation within … the Fenergo platform and collaborate with stakeholders to implement solutions. Assist in preparing reports and data extraction from Fenergo for analysis, audits, and decision-making. The ideal background for this role: Bachelor's or Master's degree (or equivalent higher education) in Information Technology, Data Engineering, or More ❯

a talented QA Automation Engineer to become an automated quality assurance expert within our team. In this role, you will collaborate with developers and data engineers to ensure robust testing strategies and technical implementation for our data-driven applications. Your expertise will help identify risks and quality gaps … environment. You will be: Serve as the automation and quality assurance expert, contributing to the development of comprehensive test strategies. Collaborate with developers and data engineers to understand complex system requirements and translate them into robust automated test plans. Identify dependencies, risks, and quality gaps early in the development … lifecycle. Design and implement automated test cases, including integration, end-to-end (E2E), load, and performance testing for data-driven applications. Embed testing practices into CI/CD pipelines to ensure rapid and reliable deployments. Actively participate in breaking down releasable pieces of value during sprints. Define measurements of More ❯

Referment has partnered with a systematic hedge fund who have recently opened up a new role in their Data Engineering team. Working directly with PM's, traders and quants, you will be responsible for building and maintaining the data infrastructure that fuels their research and trading strategies … to work close to the investment process as the company grows and expands into new asset classes. The role will involve building and maintaining data pipelines for their intraday and systematic trading desks as well as frameworks to guarantee accuracy and integrity of datasets which dictate efficacy of their … quantitative strategies. As such, the successful applicant must have strong Python development skills and at least 4 years of experience working as a Data Engineer within financial markets. Key Requirements 4+ years of experience building ETL/ELT pipeline using Python within financial markets (ideally for a systematic trading More ❯