526 to 550 of 800 Data Pipeline Jobs in London

experimentation and iteration Enjoys working in a high-ownership, fast-paced startup environment Nice to have (but not required): Experience with APIs, SaaS, data pipelines, or cloud platforms (e.g., AWS) Familiarity with TypeScript or modern frontend/backend stacks What You’ll Get £80k–£120k base salary + More ❯

infrastructure that powers our cutting-edge medical technologies. Expect to: Design and develop event-driven backend services and modern microservices architectures. Build robust data pipelines and optimise deployment processes. Work cross-functionally on architecture, testing strategies, and system enhancements. Write clean, high-quality, maintainable code that drives real More ❯

infrastructure that powers our cutting-edge medical technologies. Expect to: Design and develop event-driven backend services and modern microservices architectures. Build robust data pipelines and optimise deployment processes. Work cross-functionally on architecture, testing strategies, and system enhancements. Write clean, high-quality, maintainable code that drives real More ❯

equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes. Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data. Drive our market making platform development More ❯

to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a co-operative, can-do attitude who can build high … quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy Ensure seamless integration of AI solutions More ❯

Job Title: Software Engineer – Data & AI Tools (Venture-Backed Innovation) Location: London, United Kingdom (Hybrid) £100,000 - £140,000 (+equity) Overview: A high-impact venture-backed firm at the cutting edge of science and technology is seeking a Software Engineer (Data & AI) to join its UK … team. This is a unique opportunity to build data-centric tools that will directly support early-stage deep tech startups solving complex, global challenges. You’ll be part of a small, agile team in London and collaborate closely with counterparts across the UK and the US. Key Responsibilities … startup or strong engineering environment • Proficient in Python and experienced in building robust software products • Expertise in data engineering: SQL, ETL pipelines, data architecture, and data integrations • Experience with APIs, webhooks, and combining data from diverse sources • Familiarity with machine learning, artificial More ❯

About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a … for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients. Lead data … techniques. Identify opportunities for innovation across the Market Intelligence division. Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics/Data Science/Machine Learning/Quant More ❯

Japan, Korea, etc) and get a bigger piece of the Beauty Pie. We're looking for a technically talented and highly collaborative Martech data engineer to partner with our marketing function. This is a new specialist role which sits within the central data function which comprises … data engineers, analytics engineers, analysts and data science/machine learning experts. This role is key to driving our next stage of business growth through enabling cost efficient customer acquisition and retention through data. If you love to take ownership, partner closely with stakeholders and work … in a high impact environment then this role is for you! So, what will you be doing? Integrate and maintain martech data pipelines, to enable us to scale marketing channels in existing and new geographies Build and maintain a best in class martech targeting and reporting capability both More ❯

a Sales Operations Executive at Puzzel, you will work closely with the VP Sales - New Business and CRO on reporting for new business deals, pipeline management and forecasting. You will use Salesforce & Excel (plus potentially some visualisation tools) to report on sales' performance, tracking KPIs such as time to … data to derive insights that inform strategic decisions. Highlight findings to Head of Revenue Operations and suggest improvements based on performance data. Pipeline Governance: Collaborate closely with Deal Desk and Sales Leadership to ensure accurate and up-to-date pipeline management, maintain a healthy sales pipeline … and able to challenge and ask questions to all stakeholders. Commercially/revenue minded. The nice to haves Familiarity with quote-to-cash processes (pipeline management) Salesforce (dashboard and report creation) Experience from a smaller org of roughly 100-500 employees PowerBI or other reporting/visualization tools The More ❯

where applicable. Enhance and optimize systems for equity factor modelling, portfolio construction, trading, and reporting. Pipelines (20%): Identify and implement performance optimizations for data pipelines and processing workflows. Production (20%): Oversee the maintenance and operational stability of investment process systems and production jobs. Communication (20%): Ensure comprehensive documentation … query optimization and execution plan analysis. Experience with auditing, and CI CD processes, Bitbucket (Github), Team City, setup and create pipelines. Proficiency in data modelling, data management processes, and data profiling. Experience in developing APIs and working with WebSockets. Knowledge of React, Django, FastAPI More ❯

and partnerships, their growth trajectory is steep, and they’re building a best-in-class technical team to scale even faster. Right now, Data Engineering is their #1 priority. They’re actively hiring for: Data Engineer Lead/Head of Data Engineering About the … in combining technical excellence with creative innovation Why They’re Hiring: Their AI researchers and scientists are stretched thin, pulled into building foundational data pipelines when they should be focused on modeling. They're standing up a dedicated Data Engineering team - and they need top talent … think video datasets at petabyte scale) Curate datasets from messy, unstructured sources - with a focus on automation Architect ingestion systems and build scalable data infrastructure Partner deeply with Infra, AI Research, and Product teams Play a key role supporting projects like foundational model development and synthetic data More ❯

and partnerships, their growth trajectory is steep, and they’re building a best-in-class technical team to scale even faster. Right now, Data Engineering is their #1 priority. They’re actively hiring for: Data Engineer Lead/Head of Data Engineering About the … in combining technical excellence with creative innovation Why They’re Hiring: Their AI researchers and scientists are stretched thin, pulled into building foundational data pipelines when they should be focused on modeling. They're standing up a dedicated Data Engineering team - and they need top talent … think video datasets at petabyte scale) Curate datasets from messy, unstructured sources - with a focus on automation Architect ingestion systems and build scalable data infrastructure Partner deeply with Infra, AI Research, and Product teams Play a key role supporting projects like foundational model development and synthetic data More ❯

Design and implement complex data pipelines and architectures. Utilising dbt and Prefect to automate and run your data pipelines. Collaborate with cross-functional teams to align data engineering efforts. Engaging with clients to identify available data and help them achieve business goals. … Key Candidate Requirements Knowledge Advanced proficiency in programming languages and frameworks used in data engineering. Expertise in optimising and scaling data infrastructure. Strong understanding of data modelling, schema design, and database optimisation. Skills Experience with data orchestration tools and workflow management. Excellent … with customers, Cortex was launched in 2024 to better serve the digitally diverse sports industry as a quick-to-deploy SaaS platform for data and revenue driven sports marketing. Cortex products are used by multiple top tier sports organisations and clubs including; Arsenal FC, Formula 1, ECB, the More ❯

architectures for AI-powered applications and infrastructure. You will play a critical role in identifying and mitigating security risks associated with AI, ensuring data privacy, and promoting ethical AI practices. This role requires a deep understanding of both traditional security principles and the unique challenges posed by AI … technologies. What you'll be doing: AI Security Architecture: Design and implement secure architectures for AI/ML models, data pipelines, and related infrastructure. Develop security policies and procedures specific to AI systems. Evaluate and select security tools and technologies for AI environments. Risk Assessment and Management: Conduct … to identify vulnerabilities and threats specific to AI systems. Develop and implement risk mitigation strategies for AI-related security issues, including adversarial attacks, data poisoning, and model bias. Monitor and report on AI security risks and compliance. Data Security and Privacy: Ensure the security and privacy More ❯

office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on AI for Data, Software, Cybersecurity & Controls and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long … term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent data engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be … from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization. Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors. Increase our deployment velocity, including the process for deploying models and data More ❯

Senior Data Scientist Department: Intelligence Collection Employment Type: Full Time Location: London, UK Reporting To: Stephen Hazelton Description Do you want to be part of the future of value transfer? Are you excited about solving problems that have never been solved before? Are you looking for a values … to build. Prioritise based on efficiency, unit economics and value to our business. Work in a highly collaborative environment with engineers, blockchain analysts, data scientists, researchers. Your shared goal is creating intelligence, you contribute in different ways. Be deeply opinionated about where we're spending our time (as … will be a great fit here if you: Are highly curious and sceptical. Have experience digging into huge datasets, spotting quirks in the data and pulling the thread - finding the truth. Can focus only on analysis or models which will be useful for our business - cut through the More ❯

an early-stage startup or high-growth technology company Familiarity with cloud platforms and infrastructure as code (AWS, GCP, Terraform, etc.) Experience with data pipelines, event-driven architectures, or real-time systems What’s on Offer Early-stage equity as a bonus and between £50-£80k. Opportunity to More ❯

an early-stage startup or high-growth technology company Familiarity with cloud platforms and infrastructure as code (AWS, GCP, Terraform, etc.) Experience with data pipelines, event-driven architectures, or real-time systems What’s on Offer Early-stage equity as a bonus and between £50-£80k. Opportunity to More ❯

Senior Data Scientist - Python - SQL - Blockchain - Hybrid (London) - £75k-£95k (Equity Offered) Currently working with a client in the Crypto industry who is looking for a motivated senior data scientist to join their team and help prevent financial crimes and allow cryptocurrencies to be used for … good. Responsibilities: Work in a highly collaborative environment with engineers, blockchain analysts, data scientists, researchers. Your shared goal is creating intelligence, you contribute in different ways. Be deeply opinionated about where we're spending our time, and how we can increase the value of our intelligence. Own your … model? Participate in a collegiate group of blockchain experts, share your knowledge across our business wherever it is effective. Requirements: Is comfortable querying data with SQL and Python. Can optimise queries for huge datasets. Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts More ❯

Senior Data Scientist - Python - SQL - Blockchain - Hybrid (London) - £75k-£95k (Equity Offered) Currently working with a client in the Crypto industry who is looking for a motivated senior data scientist to join their team and help prevent financial crimes and allow cryptocurrencies to be used for … good. Responsibilities: Work in a highly collaborative environment with engineers, blockchain analysts, data scientists, researchers. Your shared goal is creating intelligence, you contribute in different ways. Be deeply opinionated about where we're spending our time, and how we can increase the value of our intelligence. Own your … model? Participate in a collegiate group of blockchain experts, share your knowledge across our business wherever it is effective. Requirements: Is comfortable querying data with SQL and Python. Can optimise queries for huge datasets. Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts More ❯

are partnered with one of the UK's best and most profitable FinTechs who are scaling up and making fresh investment into their data and technology functions. As an Analytics Engineer, you will lead the design, implementation and continuous improvement of Payments and Reconciliation data. Working closely with … Engineering, Platform, Finance and Data-Engineering teams you will be at the forefront of building a robust solution covering Payments and Reconciliation across multiple regions at scale. What you'll do You will design & develop data models and visualisations to monitor and forecast liquidity along with … for executives, managers and staff. You will support business projects and initiatives, applying commercial initiative and statistical rigour to any conclusions. Work with Data Engineers to build robust data pipelines into the central Data Warehouse. Collaborate with analysts and representatives of other departments such More ❯

the business. Platform Architecture: Oversee the design, architecture, and development of scalable, high-performance, and secure platforms, including cloud infrastructure, microservices, APIs, and data pipelines. Scalability & Reliability: Ensure the platform is highly available and scalable to meet the demands of a growing customer base and evolving business requirements. … Implement strategies to prevent downtime and manage disaster recovery. Collaboration: Collaborate closely with product engineering, data science, security, and other cross-functional teams to drive cohesive, integrated solutions that meet both technical and business requirements. Break down silos between teams and departments, ensuring seamless communication and shared accountability … high uptime and optimized performance. Security & Compliance: Partner with security teams to ensure that the platform complies with industry regulations and standards, including data protection, privacy, and security best practices (e.g., GDPR, SOC 2, etc.). Cost Management: Optimize platform operations and infrastructure for cost-efficiency, particularly in More ❯

community. Please do not contact the recruiter directly. Role Summary At Skyscanner, we're revolutionizing the travel experience with cutting-edge AI and data-driven solutions. As a Senior Engineer in the AI Enablement squad, you'll play a critical role in developing the infrastructure that empowers our … guardrails, evaluation, and observability to ensure our AI technologies are reliable, ethical, and scalable. This role requires expertise in distributed systems, microservices, and data pipelines, combined with a strong focus on observability and the ability to leverage vendor technologies to deliver impactful solutions. While this is not an … Systems Development : Design and build scalable distributed systems using Java-based microservices and Python batch processing to support AI guardrails, evaluation, and observability. Data Pipelines : Create and maintain robust data pipelines using PySpark and Databricks, ensuring efficient and reliable data flow across AI systems. More ❯

an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams, and software engineers to ensure that machine learning models can be successfully operationalised, monitored, and updated in real-time environments. Key … full machine learning lifecycle, integrating models into CI/CD pipelines (CodePipeline, Jenkins, GitLab CI) for seamless deployment and version control. Collaborate with data scientists and engineers to transition models from development to production, optimizing workflows and resource usage. Manage and optimize data pipelines, ensuring data … testing, and inference at scale, supporting model performance improvements. Design cloud-native, cost-efficient machine learning solutions that scale based on real-time data and increasing workloads. Required Skills & Experience: Hands-on experience with AWS services such as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and More ❯

of new Trading desks across both the Systematic HFT and Discretionary businesses they're now looking to hire an experienced Software Engineer/Data Engineer to work closely with Trading, Quant Research, and parallel Technology teams. This is a fast-paced, collaborative and innovative environment, suited to individuals … both autonomously and as part of a vibrant rapidly expanding group. Your focus will be the design, building and implementation of advanced Big Data solutions, to enable the capture, ingestion, storage, and provision of Terabyte sized Alternate Datasets. Tools you'll create include ETL/ELT Data Pipelines and Frameworks APIs Data Store Candidate's suitable for this role, will ideally have 3-8 yrs' of blended Data Engineering and Software Engineering skills, include ETL/ELT pipelines for High throughput (and Low Latency Data) Expert Python skills including More ❯