1,051 to 1,075 of 4,050 Software Engineering Jobs in London

year convergence and modernization journey. You will play a pivotal role in shaping our next‐generation SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fast‐paced front‐office environments, enjoys direct interaction … Lead Site Reliability Engineer at JPMorgan Chase within J.P. Morgan Asset Management’s Trading Technology group, you will be embedded directly within the software engineering team that builds and supports our front‐office trading platforms. Job Responsibilities: Engage daily with traders across asset classes (Equities, Fixed Income ...

solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME‐level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...

data products that serve analytics, search, recommendations, personalization, and machine learning. You will work closely with product managers, analysts, data scientists, ML engineers, and software engineers to turn ambiguous needs into dependable, well-documented datasets and pipelines.This is a hands-on engineering role for someone who cares about … consistent across experimentation and production.• Support experimentation by delivering trustworthy exposure, interaction, and outcome data for A/B testing and model evaluation.Strengthen engineering practices• Apply software engineering practices to data work, including modular design, code review, automated testing, CI/CD, and infrastructure as code.• Improve ...

smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world … dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate ...

team in London. This is an excellent opportunity for an engineer with strong Python and SQL skills who wants to build broader expertise across software engineering, cloud, data engineering and AI-enabled applications . Rather than focusing on one part of the technology stack, you'll work … role? You’ll gain hands-on exposure to: ☁️ AWS cloud & migration 🐍 Python development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ML and emerging AI technologies It's a strong opportunity for someone early ...

alongside and learn from highly experienced quantitative developers and researchers in a collaborative and innovative group. A successful candidate will combine strong numerical and engineering skills with a genuine appetite for learning new technologies. They will be comfortable working independently from high-level guidance. If you thrive … collaborative environment, follow best practice across the full software development life cycle, and want to make a meaningful impact, we encourage you to apply. Key Responsibilities Build, maintain, and monitor the existing live trading infrastructure. Develop and enhance the research platform and analytics tooling. Collaborate with researchers to bring ...

Role We are looking for Applied AI/ML Engineers, early in their careers, who are excited by the current generation of AI-native software development. This is a hands‐on builder role: you will help design, build, test and deploy practical AI workflows and data science capabilities using … build and operate real systems in AWS, driving that infrastructure through Claude Code itself. You may come from a data science, machine learning, software engineering or technical STEM background. Traditional data science skills such as experimentation, model evaluation, data analysis and pipeline development are useful and welcome ...

most impactful technologies and projects to invest in. We're headquartered in London and New York. The Team We are a product focused engineering team, consisting of a mixture of back-end, front-end and data engineering specialists. We're looking for engineers who are technology generalists … AWS. But don't worry too much about having experience with the specific tech stack - we are generally looking for people with strong core engineering skills and principles. We are looking for polyglots who believe specific technologies are just tools for tackling problems. The Role You'll be working ...

focused on delivering solutions that make a real impact. We work together to solve complex technical challenges, continuously improve how we work and build software that we can be proud of. We are looking for a Senior Full Stack Developer to join our team and play a key role … tested and meet appropriate standards for security, quality and maintainability. Stay up to date with emerging technologies and approaches, including developments in AI-assisted software engineering, and identify opportunities where they could provide value. What We’re Looking For Required Skills & Experience: Take a leading role ...

ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You’ll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business … control validation), ensuring traceability/auditability and alignment to resiliency and security expectation s. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Demonstrated experience using ...

designing and developing RESTful APIs Solid understanding of microservices and distributed systems Experience with SQL and relational databases Strong knowledge of automated testing and software engineering best practices Experience working in Agile development environments Excellent problem-solving and communication skills Experience working within large-scale or enterprise technology … major organisation Hybrid working – just 2 days per week in London Opportunity to work on challenging, large-scale technology initiatives Collaborative and technically focused engineering environment #J-18808-Ljbffr ...

equally comfortable defining what gets built and getting into the detail of how it works. What will you need to do: Agentic architecture and engineering Own the architecture of the Group's agentic platform: orchestration patterns (supervisor/sub-agent), agent decomposition, tool-calling design, memory and state management … stack (Langfuse, CloudWatch) and the runtime quality, latency and cost envelope of the platform. Team leadership and capability build Lead the in-house agentic engineering team (Agent Developer, Data Engineer) with technical mentorship, code review. Manage the relationship with our external delivery partner during the PoC phase; define ...

scenario analysis, including data preparation, testing, calibration, optimisation, and maintenance as models and data evolve. Develop AI‐assisted research and modelling workflows, including data engineering, model design, evaluation, and monitoring. Translate theoretical research and investment logic into efficient, testable, and maintainable code. Rapidly prototype new modelling approaches and analytical … scheduling, monitoring, and failure handling. Contribute to system architecture, performance optimisation, and scalability as the platform and dataset complexity grow. Establish and uphold high engineering and research standards, including testing, documentation, and reproducibility. Collaborate closely with product and research stakeholders to ensure models are usable, interpretable, and commercially relevant. ...

scalable and operational services. You will combine deep technical expertise with consulting, delivery and leadership experience. Working closely with senior client stakeholders and multidisciplinary engineering teams, you will translate complex business challenges into practical, robust and cost-effective AI solutions. This is a hands-on technical leadership role, ideal … someone currently operating as a Lead AI Architect, Principal AI/ML Engineer, AI Engineering Lead, Principal Architect, AI Practice Lead or similar , and looking to take the next step into an Associate Director-level position. The Role As Lead AI Architect, you will: Design end-to-end, scalable ...

Senior DevOps Engineer About the team The Core Engineering teams build the systems and tooling that enable Wolt, Deliveroo, and DoorDash engineers to develop, ship, and operate software at scale. We treat infrastructure, CI/CD, and developer tooling as software products, engineered with the same care … customer-facing systems. Our mission is to increase engineering velocity, reliability, and security as we transform the way the world eats and shops. About the role Working in the Infrastructure team, you’ll be responsible for the foundational compute and cloud components that product engineering teams build ...

will play a key role in shaping how we design, build, and evolve our systems, while working closely with Product, Design, and other engineering leaders. You won’t be responsible for line management, but you will be expected to set direction, raise standards, and take ownership of the technical … office 2 days per week, being together as a team is valuable for us, especially at this stage of growth. About the team: Our engineering teams are cross-functional product teams , made up of engineers with different specialisms working closely with Product Managers, Designers and stakeholders across the business. ...

Data Analyst/Scientist or Senior Data Analyst/Scientist Bristol or London About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide … wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design ...

London, Greater London | £90k - £110k per year Senior Python Developer/Software Engineer (FastAPI Azure) London/WFH to £110k Are you a backend focused Software Engineer with strong Python skills combined with technical/team leadership experience? You could be progressing your career in a senior, hands … technical leadership and guidance, facilitate communication and ensure coding standards and best practices, including performing code reviews and providing constructive feedback, championing quality focused software development, enforcing quality assurance standards, processes, testing methodologies, and driving initiatives to improve the development team efficiency e.g. CI/CD. Location/ ...

experienced AI Engineer to design, build, and deploy production‐grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You’ll work with cutting‐edge … layer that makes these systems production‐ready—handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You’ll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non‐deterministic systems that users can trust. Responsibilities ...

features into production. Develop GenAI and agentic AI applications. Create scalable solutions for document and text-processing challenges. Contribute to system design, deployment and engineering best practices. Work across the full product lifecycle, from proof of concept to release. Your Skills & Experience Strong commercial experience delivering AI products into … production. Excellent software engineering foundations, ideally with full stack exposure. Strong Python skills. Experience with GenAI, agentic frameworks and document-processing use cases. Hands-on experience with Docker and CI/CD. Ability to demonstrate ownership and measurable project impact. TypeScript, Kubernetes, Azure or Node.js experience is advantageous. ...

role where your technical skills and commercial instincts combine to create something meaningful? The Role The Solutions Architect will sit between customer engagement and software delivery, spending meaningful time on-site with enterprise clients to understand operational challenges at source and design and build working software solutions rapidly … Azure, often delivering within days rather than months. The Company This is a chance to join an established but early-stage software business backed by two of the world’s most respected technology investors. The company was founded by a team with deep operational experience inside some ...

number of new Senior Python Developer opportunities within a major Financial Services technology environment, supporting significant investment across trading, regulatory and enterprise engineering platforms. These are long-term hires rather than short-term backfill, with multiple teams looking to bring in experienced Python Developers who are comfortable building business … critical applications in a complex banking environment. You'll be working closely with engineering and business stakeholders to design, build and enhance Python applications supporting a mixture of markets, regulatory and front-office technology. Depending on the team, there may also be opportunities to work with AI-assisted development ...

Principal Platform Engineer to define and lead the technical direction of an AI-native Internal Developer Platform. This role focuses on enabling product and engineering teams to build, deploy, operate, and continuously improve software safely and efficiently at scale. The position drives the creation of self-service capabilities … reusable engineering patterns, and AI-assisted workflows that enhance developer experience, strengthen governance, and improve delivery performance across Vodafone’s cloud ecosystem. What you’ll do Define and evolve the technical roadmap for the Internal Developer Platform, treating it as a product with clear adoption, reliability, and developer experience ...

Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve … DevOps practices within our clients' organisations. This opportunity is ideal for someone who has gained initial experience in a DevOps role or for a Software Engineer seeking to transition into the DevOps field. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven ...

complex underwriting decisions that drive real business outcomes - not demos, not proof-of-concepts sitting on a shelf. The team includes ML engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that … offline-modelling role - when research is carried out and potential opportunities identified it is expected that you will work closely with ML engineers and software engineers to build this into a live system, where quality, reliability, and evaluation rigor directly affects the business. We expect that a successful candidate ...