Software Engineering jobs in London

What you would do

• Enable cross-functional squads to deliver continuous flow of valuable product increments.
• Facilitate planning sessions, daily coordination, reviews, retrospectives, and delivery ceremonies.
• Drive delivery predictability, transparency, and flow through management of work-in-progress, dependencies, risks, and impediments.
• Coach teams and stakeholders on Agile methodologies including Scrum, Kanban, and Lean delivery principles.
• Collaborate with Product Managers, Engineering Leads, Designers, Quality Engineers, and Data teams.
• Coordinate dependencies across multiple teams and delivery streams.

Skills

What you would do

• Own the end-to-end lifecycle of AI products for R&D – scoping, design, build, deployment and operation.
• Design and develop AI products on internal platforms and infrastructure, bridging the engineering gap between business and science.
• Build a foundation of best practices, templates and project accelerators based on sound software engineering and design principles.
• Educate and act as a sparring partner for scientists, helping them understand the AI product lifecycle and contribute in a self-service way.
• Guide and mentor senior team members through technical direction and mentoring.
• Take ownership of technical decisions and drive them through.

Skills

What you would do

• Translate the company brand into practical design system rules across typography, colour, iconography, layout, components, and interactions.
• Own shared Figma libraries, components, variables, templates, and documentation.
• Design responsive web experiences for world creation, 3D viewer, editing, onboarding, accounts, and pricing surfaces.
• Design mobile capture, upload, generation, and viewing journeys including camera workflows and failure recovery.
• Define spatial interaction patterns for navigating and manipulating 3D worlds.
• Design marketing site, careers pages, technical documentation, and presentation templates.

Skills

What you would do

• Develop, maintain, and enhance a multi-venue collateral management system supporting 24/7 trading activity.
• Contribute to improvements in distributed, real-time, and event-driven systems.
• Build and maintain integrations with trading venues to source account, position, collateral, and operational data.
• Implement reference data frameworks and accounting pipelines for traditional financial instruments and digital assets.
• Develop primarily in Java and Kotlin, participating in code reviews and technical discussions.
• Maintain, debug, and improve existing production code alongside new development.

Skills

What you would do

• Improve model capabilities through training, post-training, data curation, evaluation and efficient inference.
• Build agent systems, developer tooling and deployment infrastructure for reliable AI software engineering.
• Turn advanced capabilities into products and deploy them in complex customer environments.
• Build relationships, develop markets and help enterprise and public sector organisations adopt Cosine.

Skills

What you would do

• Design, develop, and implement scalable solutions using primarily Python and some Java as part of an Agile squad.
• Leverage Generative AI tools and coding assistants to enhance development velocity and solution quality.
• Collaborate with global teams to translate business requirements into robust technical solutions.
• Participate in Agile meetings, deliver project status, and adapt to evolving regulatory and business requirements.
• Write comprehensive tests to ensure code reliability and maintainability.
• Respond proactively to change, mastering new technical and business concepts as needed.

Skills

What you would do

• The posting provides no role-specific tasks.
• It describes the company's underwriting rules engine and protection marketplace products and the team's software, fintech, and insurance backgrounds.

Skills

What you would do

• This is a talent community expression of interest, not an active vacancy.
• Applicants register interest so PhysicsX can reach out when relevant roles open across Research, Data Science, Machine Learning Engineering, Product, and Delivery.
• Applications are reviewed and held in a talent pool for matching against future positions in London, US, or Singapore offices.

Skills

What you would do

• Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments.
• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments.
• Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering and RAG implementation.
• Design and build the retrieval and knowledge layer powering RAG and agentic workloads, such as vector databases, graph databases, knowledge graphs, hybrid search, and embedding pipelines.
• Design the knowledge graph capturing the semantics of customer models, metrics, hierarchies, and relationships.
• Build the data plane for evaluation and continuous improvement using conversational and agentic AI technologies.

Skills

What you would do

• Design, implement, and manage CI/CD pipelines for reliable software deployment within Azure.
• Lead development and operations teams in adopting Azure DevOps best practices.
• Automate infrastructure provisioning and management using Infrastructure as Code.
• Ensure security and compliance of cloud infrastructure.
• Monitor and manage cloud resources to optimise performance, cost, and scalability.
• Provide technical guidance and mentorship to team members.

Skills

What you would do

• Build and evolve reusable platform capabilities and services enabling other teams to detect and respond to abuse patterns at scale.
• Shape platform architecture and technical strategy, balancing long-term scalability with rapid responses to emerging challenges.
• Partner with Product, Analytics, Trust & Safety, and Engineering teams to identify abuse patterns and drive solution alignment.
• Own problems end-to-end from opportunity identification through delivery.
• Make pragmatic technical decisions balancing cost, latency, complexity, scalability, and maintainability.
• Debug complex issues across data pipelines and distributed systems.

Skills

What you would do

• Architecting a high-availability Yield Engine managing billions in assets with bankruptcy-protected custody and near-instant liquidity.
• Defining technical foundations, brokerage infrastructure, and trading interfaces for a new stock investment product.
• Building and scaling distributed systems handling high concurrency with strict data integrity and consistency.
• Writing clean, performant, well-tested code.
• Breaking complex projects into incremental milestones and coordinating across teams with PMs, designers, and analysts.

Skills

What you would do

• Lead the entire product design process from user research to final UI.
• Collaborate with Product Management, Engineering, and stakeholders to define the product vision.
• Plan and conduct user research, user interviews, and usability tests.
• Create wireframes, user flows, interactive prototypes, and high-quality UI designs.
• Ensure design consistency, usability, and accessibility.
• Develop and maintain the design system.

Skills

What you would do

• Architect, develop, and deploy mission-aligned software solutions in government and commercial environments.
• Collaborate with operators, analysts, and executives on-site in Stockholm to translate evolving requirements into actionable technical outcomes.
• Integrate Strider's platform with diverse data sources, internal workflows, and external IT systems.
• Build custom applications, features, and data pipelines that unlock insights from unstructured, multi-lingual datasets.
• Serve as Strider's technical lead in the field, owning project outcomes from inception to implementation.
• Prototype quickly and iterate continuously, adapting to high-priority demands and real-time feedback.

Skills

What you would do

• Own and communicate the cloud platform vision, strategic roadmap, and refined backlog, aligning capabilities with business objectives, team capacity, and budget.
• Prioritize stakeholder, project, operational, and continuous-improvement demands, providing direction on scope, timelines, resources, and costs.
• Lead the end-to-end product and platform lifecycle including solution direction, delivery oversight, operational support, and escalation management.
• Lead, mentor, and grow a team of cloud engineers, conducting performance reviews and supporting career development.
• Oversee design, deployment, and maintenance of scalable, secure, and resilient cloud platforms, ensuring reliability, observability, and performance through automation.
• Drive Infrastructure as Code, CI/CD, and DevOps practices.

Skills

What you would do

• Design and implement software for Android users as part of a cross-functional product team.
• Deliver new functionalities and features using Agile practices (Scrum, two-week iterations), continuous integration, and pair programming.
• Work closely with the team and Product to drive and deliver roadmaps.
• Participate in all aspects of the product lifecycle, maintaining quality and clean code.

Skills

What you would do

• Lead a squad of engineers, providing technical guidance and fostering a collaborative team environment.
• Drive the development and enhancement of the firmwide data catalogue system (Fusion) to enable global data access.
• Take ownership of technical decisions, influencing product design and application functionality.
• Serve as a subject matter expert in data platforms and related technologies.
• Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle.
• Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.

Skills

What you would do

• Architect and build the backend from the ground up, taking ideas from 0→1 through architecture, implementation, deployment and iteration.
• Build high-performance APIs, background workers, data pipelines and third-party integrations.
• Design and ship AI agent workflows including LLM orchestration, tool calling and retrieval.
• Solve problems around latency, reliability, observability, cost and model performance.
• Make architecture, infrastructure and technical trade-off decisions.
• Work directly with the CTO and founders.

Skills

What you would do

• Lead the technology function across the Moonpig Group, overseeing digital platforms and e-commerce operations for gifting and card businesses.
• Drive technical strategy and innovation to support the online gifting revolution.
• Manage teams and budgets, ensuring technology enables growth and customer experience.

Skills

What you would do

• Design, develop, and troubleshoot software solutions across batch, streaming, ML, and LLM workloads, trading off latency, throughput, resilience, cost, and governance.
• Develop secure production code, review and debug others' code, lead design and code reviews, tune performance, and own incident response.
• Engineer high-volume data platforms covering ingestion, transformation, enrichment, storage, and consumption on distributed engines such as Spark, Ray, and Kafka, over lakehouse and search technologies like Iceberg and OpenSearch.
• Productionize ML across training, evaluation, deployment, monitoring, and lifecycle management.
• Build production LLM systems including retrieval, tool use, orchestration, caching, batching, evaluation harnesses, and human-in-the-loop controls.
• Drive team adoption of AI-assisted engineering practices and establish validation standards for secure coding, peer review, and automated testing.

Skills