Top Data Jobs in London

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 the design, optimization, and deployment of machine learning forecasting algorithms and models that support Gorilla’s energy platform, ensuring scalability and integration while mentoring peers.

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

The Data Analyst will analyze and visualize complex mobile telemetry datasets, build dashboards, and collaborate with cross-functional teams to support data-driven product insights and detection strategies.

The Senior Data Engineer will build core infrastructure software for data platforms, mentor engineers, and ensure data access and performance across systems.

The Finance Operations Manager will oversee cash operations including accounts receivable, accounts payable, and treasury, while automating and improving financial systems and processes.

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

The Senior Data Analyst will own the analytics function end-to-end, turning raw data into actionable insights for product, operations, and growth strategy.

The Chapter Lead will drive LI.FI's data strategy, aligning data efforts across teams, mentoring the data team, and shaping the path towards Head of Data.

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

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

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

The Data Mentor provides technical support and feedback to apprentices, ensuring high standards in teaching, learning, assessment, and learner progression monitoring.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

As a Lead/Staff Backend Engineer, you will design and scale the core API and data systems, mentor engineers, and influence technical strategy.

As a Data Scientist, you will drive insights and build data products for cross-departmental initiatives, focusing on statistical modeling and marketplace efficiency.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

The Data Operations Engineer manages data feed infrastructure, ensuring secure, accurate data transfer, and collaborates with various teams to optimize processes.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

The Data Architect will design and implement cloud-native data architectures, maintain data pipelines, and collaborate with teams for data-driven solutions.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.