Top Data Jobs in London

The Director of Sales will lead sales efforts, develop strategic relationships, and drive revenue growth in the EMEA region for Vantage Data Centers.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

As a Senior Algorithm Engineer, you'll lead the design and scaling of algorithms for data solutions in the energy sector, collaborating with cross-functional teams to optimize performance and mentor peers.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

As a Senior Data Engineer, you will develop data platforms and pipelines, collaborate with stakeholders, mentor juniors, and support pre-sales efforts.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Data Analyst will transform raw data into actionable insights, develop data models, ensure data quality, and create visualisations for strategic decisions.

The Senior Data Engineer designs and optimizes data infrastructure using GCP tools, builds scalable ETL/ELT pipelines, and ensures data quality and governance while collaborating with teams for advanced analytics.

The Senior Manager RBQM Data Analyst oversees centralized monitoring activities for clinical trials, utilizing data analysis tools to assess risks and operational performance, while leading process improvements and training junior staff.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

The Engineering Manager will oversee data center project design and engineering, manage deliverables, and ensure compliance with Verne's standards. Responsibilities include directing consultants, reviewing technical outputs, and budget management while ensuring project success.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

The Senior Data Scientist will design and deploy machine learning models, work with data engineering and analytics, and translate data into actionable insights.

Lead data strategy and insights to drive strategic decision-making and improve product strategies; collaborate with cross-functional teams to harness data for growth.

The Senior Data & AI Consultant will deliver enterprise-level solutions in AI, Data Science, and Machine Learning, engaging with clients and mentoring teams while utilizing the Microsoft Azure technology stack.

As a Senior Systems Engineer, you'll assist customers with installations, define product requirements, and lead sales strategies for storage solutions.

As a Senior Software Engineer in AI Data, you'll design and develop scalable systems for AI data platforms, ensuring reliability and software excellence while collaborating closely with diverse teams.

The Data Solutions Analyst acts as a key connector between teams, validating data requests, supporting sales calls, and ensuring data accuracy while prioritizing workflows.

Lead and develop data centre projects, ensuring profitability and client satisfaction while managing technical and commercial aspects within Ramboll's Buildings team.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

The Data Analyst will support Production Finance with data extraction, transformation, and analysis for EMEA, collaborating with various stakeholders to provide insights and improve data quality.