301 to 325 of 471 Big Data Jobs in the UK

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform's CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business … projects in a fast-paced, front-office environment. Key Responsibilities Design, develop, and support pricing, eTrading, and market-making systems. Collaborate with traders, sales, and quants to deliver performant, data-driven solutions. Enhance trading algorithms, data pipelines, and market connectivity. Integrate trading systems with upstream trade execution and regulatory platforms. Work within an agile team delivering high-priority … solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science More ❯

Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business … projects in a fast-paced, front-office environment. Key Responsibilities Design, develop, and support pricing, eTrading, and market-making systems. Collaborate with traders, sales, and quants to deliver performant, data-driven solutions. Enhance trading algorithms, data pipelines, and market connectivity. Integrate trading systems with upstream trade execution and regulatory platforms. Work within an agile team delivering high-priority … solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science More ❯

Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business … projects in a fast-paced, front-office environment. Key Responsibilities Design, develop, and support pricing, eTrading, and market-making systems. Collaborate with traders, sales, and quants to deliver performant, data-driven solutions. Enhance trading algorithms, data pipelines, and market connectivity. Integrate trading systems with upstream trade execution and regulatory platforms. Work within an agile team delivering high-priority … solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science More ❯

Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business … projects in a fast-paced, front-office environment. Key Responsibilities Design, develop, and support pricing, eTrading, and market-making systems. Collaborate with traders, sales, and quants to deliver performant, data-driven solutions. Enhance trading algorithms, data pipelines, and market connectivity. Integrate trading systems with upstream trade execution and regulatory platforms. Work within an agile team delivering high-priority … solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science More ❯

Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business … projects in a fast-paced, front-office environment. Key Responsibilities Design, develop, and support pricing, eTrading, and market-making systems. Collaborate with traders, sales, and quants to deliver performant, data-driven solutions. Enhance trading algorithms, data pipelines, and market connectivity. Integrate trading systems with upstream trade execution and regulatory platforms. Work within an agile team delivering high-priority … solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science More ❯

and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods … risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and cloud platforms (AWS, GCP, Azure). Able to build scalable ML … Works effectively with quants and stakeholders to translate financial requirements into ML solutions. Communicates insights clearly and aligns models with strategic business goals. Innovative & Analytical Mindset - Capable of developing data-driven approaches that complement traditional quantitative models and drive measurable impact in pricing and risk analytics. Job Offer A competitive daily rate up to £1200 per day (inside IR35 More ❯

technical and professional experience Experience with containerisation technologies like Docker and orchestration tools like Kubernetes. Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Knowledge of data engineering and experience with big data technologies like Hadoop, Spark, or Kafka. Experience with CI/CD pipelines and automation, such as using Jenkins, GitLab, or CircleCI. More ❯

technical and professional experience Experience with containeriation technologies like Docker and orchestration tools like Kubernetes. Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Knowledge of data engineering and experience with big data technologies like Hadoop, Spark, or Kafka. Experience with CI/CD pipelines and automation, such as using Jenkins, GitLab, or CircleCI. More ❯

products. You'll be deeply involved in technical decisions, architecture and best practices, while contributing directly to the codebase. Beyond core programming skills, we value interest or experience in data, security or DevOps that help raise the bar across the team. Above all, we're looking for a positive, collaborative individual - confident in their skills, focused on outcomes and … s willing to both teach and learn from others. You will report directly to our CTO, Yoel Marson. You'll work closely with our Tech Leads, product managers and data teams, collaborating across disciplines to design and deliver high-impact features. You'll play a key role in shaping how ideas move from concept to production - contributing to architecture … product direction and data-driven decision-making while expanding your technical breadth and leadership influence. This is a fantastic opportunity to join one of the most exciting financial technology companies, with the chance to grow and develop alongside the business. Our approach to Engineering: We follow an Agile development methodology - but unlike others, we use a flexible variant of More ❯

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation … architectural integrity and strategic roadmap of the Cloud Networking and be accountable for successful delivery of the business/technical outcome. Retire and or decommission a number of the data centres across the globe to a cloud hosted environment Work with the Group CISO and the broader IT security teams to improve security controls Leverages emerging & innovative technologies in … Assurance + Platforms - Istio, Serverless, Kubernetes + Processes - Agile, Lean, Product Development + Culture - DevSecOps, Continuous Change + Software engineering with exposure to event high performance computing, event driven, big data analytics, machine learning + Program language polyglot (C, C++, C#, Java, Rust, Go, Python) + Enterprise and Solution Architecture + Cloud and On-Premise Networking Ability to More ❯

Gherkin Scenarios, Domain Modelling) Understanding of UI/UX principles. Contributions to open-source projects. Knowledge or experience working with text-to-code language models Knowledge or experience with big data analytics platforms (Databricks being a plus) Knowledge or data processing file format such as parquet, avro, csv) Who You Are Bachelor's degree in Computer Science More ❯

Gherkin Scenarios, Domain Modelling) Understanding of UI/UX principles. Contributions to open-source projects. Knowledge or experience working with text-to-code language models Knowledge or experience with big data analytics platforms (Databricks being a plus) Knowledge or data processing file format such as parquet, avro, csv) Who You Are Bachelor's degree in Computer Science More ❯

Gherkin Scenarios, Domain Modelling) Understanding of UI/UX principles. Contributions to open-source projects. Knowledge or experience working with text-to-code language models Knowledge or experience with big data analytics platforms (Databricks being a plus) Knowledge or data processing file format such as parquet, avro, csv) Who You Are Bachelor's degree in Computer Science More ❯

and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a More ❯

and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a More ❯

and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a More ❯

and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a More ❯

Immediate start needed Clearance: You must be eligible for UK Security Clearance We’re working with a fast-scaling, venture-backed business that’s making serious moves in the data and AI space. They’ve already gone through multiple funding rounds and they’re on track for even more this year. Their ambitions are bold: they’re aiming for … unicorn status, and they’re building the engineering team that will get them there. This is a team with real technical pedigree experts in data, machine learning, AI, and analytics now looking to strengthen their core engineering capability as they expand their platform. The Role As Lead Software Engineer , they're ideally looking for a permanent team member but … organisations. This is not a role for a passive contributor. You’ll be deeply involved in technical decision-making, shaping architecture, and guiding implementation. You’ll work with diverse data types (including geospatial datasets), collaborate closely with the AI and Machine Learning teams, and build products that have a genuine real-world impact. What You’ll Be Doing Designing More ❯

Immediate start needed Clearance: You must be eligible for UK Security Clearance We're working with a fast-scaling, venture-backed business that's making serious moves in the data and AI space. They've already gone through multiple funding rounds and they're on track for even more this year. Their ambitions are bold: they're aiming for … unicorn status, and they're building the engineering team that will get them there. This is a team with real technical pedigree experts in data, machine learning, AI, and analytics now looking to strengthen their core engineering capability as they expand their platform. The Role As Lead Software Engineer, they're ideally looking for a permanent team member but … organisations. This is not a role for a passive contributor. You'll be deeply involved in technical decision-making, shaping architecture, and guiding implementation. You'll work with diverse data types (including geospatial datasets), collaborate closely with the AI and Machine Learning teams, and build products that have a genuine real-world impact. What You'll Be Doing Designing More ❯