Top Python Jobs in London

The Senior Marketing Data Scientist will measure and optimize marketing performance using marketing mix modeling, attribution, customer lifetime value analysis, experimentation, and causal inference. Responsibilities include building scalable data pipelines, automating model deployment and monitoring, creating dashboards, analyzing campaigns, and communicating insights to executives. The role requires strong Python and SQL skills, experience with open-source marketing mix models, marketing analytics expertise, and the ability to lead projects independently.

Leads the engineering organization responsible for modeling, rendering, simulation, distributed computing, and quality. Owns platform roadmap execution, manages engineering managers, accelerates AI-assisted software development, improves delivery and testing processes, and balances zero-to-one product development with ongoing releases. Partners with Product and represents platform engineering to company leadership. Requires deep technical credibility and a proven record of organizational transformation, product delivery, and engineering leadership.

Manage and optimize production Kubernetes clusters on GKE using Terraform, build secure and scalable cloud infrastructure, and develop golden paths and self-service automation for developers. The role supports cloud compliance standards, provides technical expertise on GCP and Kubernetes, maintains infrastructure documentation and solutions, and participates in an on-call rotation. Experience with AWS, CDK, Datadog, and cloud security practices is advantageous.

Develop automated calibration frameworks for quantum computing systems and implement quantum control solutions for European customers. The role combines experimental quantum physics, spin-qubit expertise, Python software development, technical integration, customer education, and account relationship management. The physicist will translate customer requirements into scalable automation solutions, optimize calibration workflows with strategic partners, provide technical guidance, and support quantum computing experiments.

Design, operate, and optimize secure, highly available AWS cloud infrastructure, including EKS and ECS container platforms, Linux systems, and relational and NoSQL databases. Manage infrastructure as code, configuration management, observability, security controls, incident response, disaster recovery, and cloud cost optimization. Partner with engineering and platform teams to improve deployment reliability and operational efficiency while participating in on-call rotations and root cause analysis.

Own centralized workforce forecasting, capacity planning, headcount strategy, and cost optimization across multiple lines of business. Model trade-offs involving FTEs, BPO, overtime, productivity, and shrinkage; analyze demand changes; identify capacity risks; and translate findings into executive recommendations. Partner with Finance, Product, and Operations to govern assumptions, investigate plan variances, standardize planning frameworks, and support strategic staffing decisions.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Leads biomarker and genomics statistical activities for clinical and biomarker studies. Develops biomarker evaluation plans, designs advanced analyses, creates complex algorithms, interprets results, and produces biomarker evaluation reports. Applies biostatistics, machine learning, deep learning, explainable AI, and uncertainty quantification to high-dimensional biomarker data, including RNA and Olink data. Requires independent biomarker study leadership and collaboration across clinical development functions.

Designs, builds, deploys, and operates production-grade AI applications, agents, services, integrations, and workflows. Leads architecture, coding standards, testing, experimentation, reliability, observability, security, compliance, and operational readiness. Translates business requirements into scalable technical solutions, mentors engineers, coordinates across teams, and develops reusable engineering patterns. Participates in on-call support, incident response, postmortems, and continuous improvement while using AI-assisted development tools to accelerate delivery.

Research and expand vehicle telemetry coverage across on- and off-highway architectures. Analyze vehicle network signals, OEM documentation, wiring diagrams, and field logs; connect to vehicle networks; capture and interpret data; and use debugging, scraping, reverse engineering, and custom scripts to validate coverage solutions. Partner with global engineering and product teams and travel to customer locations for vehicle testing.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

Lead a software engineering team responsible for collections, recoveries, litigation, and investor management systems. Own complex cross-team delivery, technical strategy, architecture, engineering performance, and secure scalable solutions. Mentor engineers, resolve cross-team misalignment, communicate with technical and non-technical stakeholders, and promote effective use of AI tooling. The role requires strong programming experience in Ruby, Clojure, Python, or another major language, plus recognized technical authority.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Lead and mentor cross-functional engineering teams to deliver scalable, resilient cloud-native systems. Partner with product to define technical solutions, manage technical debt, hire and grow engineers, and drive engineering best practices. Hands-on leadership with strong frontend and distributed systems experience.

Architect and develop complex C++ and SystemC hardware models, firmware, software, and QEMU-based emulation platforms. Debug models and Python processing code, support model-driven hardware design flows, validate implementations, and collaborate across teams to improve development methodologies. The role also provides technical leadership and mentorship to engineers adopting model-first development.

The Data Analyst will analyse complex datasets, develop dashboards and reports, translate stakeholder requirements into data-driven solutions, and support analytical models and AI-enabled capabilities. The role involves collaborating with engineers, architects, and business analysts; ensuring data quality and governance; participating in Agile delivery; presenting insights; and supporting UX/UI for digital tooling within a secure Defence programme.

Develop optimization models, machine learning algorithms, and statistical solutions for global supply chain challenges, including network design, inventory, forecasting, and transportation. Clean and analyze large datasets, build production-ready solutions in Python or R, create dashboards, and communicate actionable insights. Collaborate with cross-functional technical and business teams to improve cost, service performance, and sustainability.

Build and own ElevenLabs’ analytics transformation and metric layers using dbt and SQL. Define certified KPIs for product, finance, and company-wide reporting; establish modeling, testing, CI, documentation, and data-quality standards; collaborate with Data Engineering and stakeholders to create trusted, reusable data products and support AI-agent data use cases.

Own and improve scalable platform components across their lifecycle, contributing to architecture, reliability, performance, automation, observability, and production readiness. Build infrastructure and CI/CD solutions using AWS, Terraform, containers, and orchestration technologies. Participate in incident response and on-call rotations, mentor engineers, uphold technical standards, and collaborate with product and engineering leaders. The role also emphasizes distributed systems, security, operational excellence, and using AI tooling to improve productivity.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

Lead a team of 7–8 engineers building ENSEK’s Flex cloud-native energy platform. Responsibilities include hiring, coaching, sprint planning, technical decision-making, architecture, engineering quality, CI/CD, testing, observability, incident response, operational excellence, and cross-functional collaboration with Product, UX, Data, and SRE. The role also contributes to team-model evolution and broader engineering strategy while ensuring reliable, commercially valuable product delivery.

Own Quince’s international forecasting and replenishment architecture, combining classical forecasting, machine learning, and AI agents. Build prototypes and analytical tools in Python, SQL, and Streamlit; partner with data and engineering teams to productionize successful solutions. Improve forecast accuracy, reduce stockouts, automate planning workflows, support new-market launches, and translate between planners, engineers, and leadership. Establish trusted human-machine decision processes and continuously improve planning systems across international markets.

Own finance-focused data science and analysis, including revenue and ARR reconciliation, cohort economics, pricing experiments, forecasting, and scenario modeling. Partner with Analytics Engineering to maintain certified finance KPIs and ensure data quality across billing and revenue systems. Translate ambiguous questions from FP&A, RevOps, and leadership into reusable analyses that support planning, board reporting, pricing, and IPO readiness.

Leads hands-on software architecture, development, deployment, and issue resolution for strategic customer projects. Drives AI innovation, Azure and platform resiliency, security, observability, performance, and operational improvements. Partners with executives, customers, engineering, and product teams to define and deliver strategic programs. Develops tools, shares technical best practices, and supports Microsoft Fabric and GenAI solutions, including governance, automation, testing, and responsible AI controls. Requires frequent worldwide customer travel and regular engagement in Redmond.