Top Data Jobs in Bristol

Lead research and engineering for GenAI applied to cybersecurity: define model architectures and training, build production-scale AI systems, mentor scientists, set technical standards, and represent CrowdStrike in publications and talks.

Lead and architect AI research for cybersecurity, recruit and mentor data science teams, design and deploy LLM and deep learning systems to production at scale, set technical strategy and represent CrowdStrike in research and thought leadership.

The role involves eliciting and managing business and technical requirements, translating complex needs into structured artefacts, and collaborating with architects for Defence-wide projects.

As a Data & AI Consultant, you will strategize and implement Data & AI solutions to enhance business value, advising clients on governance and capabilities.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Solution Director, you will drive client account growth, provide expert guidance to senior stakeholders, identify technology opportunities, support deal development, and mentor teams in full stack engineering and solution design.

The Senior Technical Program Manager will convert complex Data & AI projects into actionable plans, facilitate team collaboration, anticipate risks, and enhance decision-making with data-driven results.

As an Account Executive, you'll manage the sales pipeline, engage senior stakeholders in financial institutions, and drive complex sales cycles from outreach to contract execution.

The VP Growth will lead initiatives to acquire new business, manage a sales team, enhance customer relationships, and drive revenue growth in the EMEA region.

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

Lead design and implementation of machine learning and optimisation models (MIP) for predictive and prescriptive analytics, deploy production pipelines, collaborate with product and engineering teams, mentor staff, run Agile projects, and support digital strategy and capability building.

The Associate Director will lead HV substation design projects for data centers, manage technical discussions, ensure delivery quality, and mentor junior engineers in the energy sector.

The Data Analyst Consultant collaborates with teams to analyze and model data, providing analytical solutions and strategies to enhance business efficiency and profitability for clients.

As a Senior Java Engineer, you will develop and optimize backend services for data-intensive applications, focusing on high reliability and performance in live sports environments. You will collaborate on architectural decisions, manage data pipelines, and work within an agile team deploying applications on AWS.

Maintain and enhance the data platform, deliver development projects, own BAU processes, apply software engineering practices, ensure compliance, and deploy changes via CI/CD and Terraform. Build and optimise GCP big-data pipelines (BigQuery, Dataflow/Apache Beam, Cloud Run/Functions, Workflows/Composer), develop SQL, ETL, data models, and support data warehousing and analytics.

The Data & AI Scientist will leverage AI technologies to solve business challenges, design solutions using foundation models, and mentor junior developers.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

Design, build and maintain ETL/ELT pipelines and data models using Python, SQL, Spark and Azure. Ensure data quality, governance and performance, create dashboards, and work with cross-functional teams to deliver scalable data solutions.

Lead design and delivery of data engineering solutions and pipelines for Squarcle products and clients. Build ETL/streaming pipelines, integrate APIs and SaaS, work with cross-functional teams, mentor staff, contribute to product strategy, and ensure security and Agile delivery aligned to GDS standards.

The role involves managing geospatial datasets, ensuring data quality, building geospatial ETL workflows, collaborating with teams for data integration, and contributing to geospatial modernization initiatives.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Data Architect will maintain enterprise data architecture principles, develop data models and integration patterns, and establish data governance frameworks within UK Defence projects.

The Head of AI & Data Science will lead strategic AI initiatives, architecture, and R&D, partnering with C-suite executives and influencing engineering standards to enhance data technologies in finance.

Lead the implementation of Product Lifecycle Management (PLM) solutions, ensuring digital continuity in design to delivery processes while managing IT solution development within a multinational framework.