1,351 to 1,375 of 4,034 Software Engineering Jobs in London

presentations Required qualifications, capabilities and skills Experience leading teams to deliver production machine learning solutions Proficiency in Python and SQL and familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn … deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning and continuous learning techniques Experience in prompt engineering techniques and state-of-the-art LLM architectures ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong software engineering fundamentals, hands-on data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience ...

teams to identify and shape technical growth opportunities. Hands-on Delivery & Mentorship: Remain close to the detail by proving solutions, reviewing code, and mentoring engineering teams to set a high bar for quality, automation, and best practices. What you’ll be doing Technical Leadership & Governance: Act as the account … with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape, and pitch technical solutions to drive account growth. Hands-on Engineering & Delivery: Provide hands-on technical ownership by proving solutions, reviewing code, and designing robust API/integration patterns. Champion a quality-first mindset using ...

technical role in rollouts of frontier AI capabilities, ensuring smooth integration with existing IT infrastructure and processes.Accelerate adoption — Work shoulder-to-shoulder with client engineering and product teams to drive meaningful AI adoption, removing blockers and closing skill gaps in real time.Identify patterns and scale — Recognise repeatable deployment patterns … deployment and uphold Accenture's standards in every client interaction.Experience4–6 years of experience in a technical role with client-facing or consulting exposure — Software Engineer, Solutions Engineer, technical consultant, or equivalent.Experience contributing to the delivery of production applications with real business impact, ideally in enterprise environments.Practical experience working ...

hours as part of a rota, and proactively chase ways to reduce/design out manual support overheadRequired:Bachelor's degree in Computer Science, Software Engineering or a STEM subject from a recognised universityMinimum 2 years of solid working experience in an infrastructure, DevOps, or Platform engineer roleProduction ...

capability of those around you. In this role as the Senior Machine Learning Engineer, you will Work within cross-functional teams alongside data scientists, software engineers, data engineers and product managers Design and deliver machine learning models at scale that create measurable impact for the business … machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance Shape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scale Partner with and influence stakeholders across the business to propose innovative data products that ...

capability of those around you.In this role as the Senior Machine Learning Engineer, you will... Work within cross-functional teams alongside data scientists, software engineers, data engineers and product managersDesign and deliver machine learning models at scale that create measurable impact for the businessOwn the end-to-end machine … learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenanceShape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scalePartner with and influence stakeholders across the business to propose innovative data products that make the most ...

should be capable of challenging their own work and finding a balance between perfection and practicality.FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling … well designed and auditableDevelop production ready code that is scalable, maintainable, and adheres to best design principlesSet standards and promote best practices for engineering in the team.CommunicationFrequently partner with internal and external stakeholders both technical and non-technicalLead meetings with internal and external stakeholders to showcase resultsCoach and mentor ...

meaningful contributions to our internal AI practices.Skills & RequirementsWhat we're looking for:5+ years of hands-on experience – in AI or applied data-intensive software engineering, or equivalent experience. A track record of taking projects from idea to production is what matters most.Proficiency in Python – You write clean … conversations with clients, shaping direction alongside them.Build demos and PoCs – fast, purposeful, and client-ready. You know how to show something compelling without over-engineering it.Mentor junior engineers – share knowledge, review code thoughtfully, and help grow the team around you.Shape our AI practice – contribute to shared tools, frameworks ...

needs of modern day support teams.Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push … Jest, Mocha, Cypress).Strong problem-solving skills and the ability to work independently and as part of a team.Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).Benefits We are a well treated bunch, with awesome benefits! If there’s something ...

outputs and methodologies to non-technical stakeholders.You May be a Good Fit if:Substantial experience querying, cleaning, compiling, and analyzing big data.Strong appreciation of software engineering fundamentals such as code quality, code reviews, unit testing and developing code that is supportable and maintainable.Experience of developing quantitative models under … tools (e.g., DVC, Weights & Biases).Demonstrated experience with interpretable AI techniques.What Would Make You Stand Out:Degree in a quantitative subject (e.g. mathematics, physics, engineering or data science)Experience of working as a developer in a corporate environment and production support experience.Exposure to different cloud-based data and analytics ...

scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the RoleOur Marketing team brings together marketing operations, engineering, data, and AI to make complex go-to-market work easier to manage. We create reliable systems that help marketers work more effectively, move … sufficient over time.Monitor system health, lead flow, and data quality, and coordinate the resolution of issues before they create broader disruption.Collaborate with Marketing, Sales, Engineering, Data, Security, Legal, and Privacy to create solutions that are timely, reliable, and responsible.What You BringFive or more years of experience in Marketing Operations ...

design, develop, and deploy production-ready machine learning solutions that make a genuine impact across defence, government, and national security. Working alongside Data Scientists, Software Engineers, and AI specialists, you'll take projects from experimentation through to production, leveraging modern MLOps and LLMOps practices on AWS to build scalable … production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including explainability, governance ...

domain.Experience in assessing banking IT landscapes, business drivers and understanding impact of emerging technologies to define target and transition state architectures.A background in software engineering or experience with hands-on technology development and delivery.Preferably you will also have:Industry certifications such as BCS, SCRUM, SAFe, PMP among others.Enterprise … want to help solve some of the biggest tech and transformational challenges around, join us. Together, we’ll make an impact that matters. Engineering, AI and DataWe lead transformation at the heart of our clients; re-engineering the core of our clients’ organisations, helping to unleash growth ...

stakeholders.Creating production-ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with software engineering teamOptimizing and customizing Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information ...

London Stock Exchange Group is seeking a Senior Software Engineer to design and develop a Real-Time SDK and related server-side infrastructure. The role involves infrastructure as code, deployment automation, and contributing to real-time financial content in a collaborative team. You will work across Windows and Linux ...

hiring a Staff Software Engineer (Full Stack: TypeScript, React, Node.js) to own the technical direction for our financial services stack, including money.co.uk and related brands. The role uses a TypeScript/React/Node.js stack deployed on Kubernetes in AWS, with a hybrid work model and two office days. ...

JPMorgan Chase & Co. is looking for a Lead Software Engineer to work within Credit Technology. This role involves building AI-native systems and enhancing trading capabilities through various technical solutions. Candidates should have over 5 years of hands-on experience with programming languages like Python, Java, or C++ ...

Webuild Ai is seeking a Senior Software Architect to lead the design and delivery of enterprise-grade software solutions. The role requires 8+ years of experience and deep expertise in Python, TypeScript/React, and cloud-native architectures. You will mentor engineers, define software architecture, and ensure … best practices in AI software delivery. This hybrid position requires in-office attendance three days a week in London, offering an opportunity to innovate and reshape enterprise AI solutions. #J-18808-Ljbffr ...

software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within the Engineer's Observability Platforms team, you lead a technical area and drive impact within teams, technologies … projects firm wide. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver ofAIOps innovation and solution delivery.This is a greenfield opportunity to redevelop ...

modules integrate. Code daily alongside the team: this is a hands‐on role, especially during the first year. Define and role model the company software engineering culture and rituals. Lead code reviews, technical decisions, and engineering standards. Drive the team's evolution toward AI‐native development … consistently sharp and direct. Startup instinct: comfortable with ambiguity, fast iteration, and wearing more than one hat. Experience with recruiting and leading an engineering team. For applicants who want to work at our Winterthur office: Swiss work permit or Swiss/EU/EFTA citizenship is a must. ...

Director of Software Engineering (AIOps) - Executive Director LONDON, LONDON, United Kingdom and 1 more Job Information Job Identification 210707625 Job Category Software Engineering Business Unit Corporate Sector Posting Date 08/05/2026, 05:42 PM Locations 4 John Carpenter St, London, Greater London, EC4Y … Argyle Street, Glasgow, Glasgow City, G2 8AT, GB Job Schedule Full time Job Shift Day Job Description If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineeringat JPMorgan ...

Software Engineering Manager (Backend SaaS) Canonical · London Licensed sponsor London On-Site Likely to sponsor About the role Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise … initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office ...

market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role Shared Engineering is a mixed-discipline platform team of around a dozen engineers (network engineers, Linux engineers, and software developers). The team owns the foundations … that the firm’s engineering runs on such as alerting, job scheduling, host inventory/monitoring, and the internal developer tooling for our monorepo. This includes shared libraries, build systems and CI/CD infrastructure. Our aim is to give the firm’s engineers leverage: fewer manual steps, delivery ...

real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!The Production Engineering team focuses on end-to-end reliability, durability, scalability, and performance of Figma products and services. We’re looking for an experienced Engineer to scale … drive the initiatives and programs that support Figma’s production engineering efforts, allowing our product teams to rapidly deliver new features. This is a critical part of success for both our ability to build new products and features, support the growth of our user base, and enable innovation ...