626 to 650 of 1,237 Software Engineering Jobs in London

middle-office trade management platform. The project is a top strategic priority for the firm and offers autonomy, ownership, and technical depth. Tech Stack Over 5 years experience in software engineering Java 17 (core expertise required) or other JVM languages Kafka at production scale - Essential Microservices architecture, containerised deployment (on-prem or cloud) What They're Looking For More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you … ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you … ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you … ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you … ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance … deliver high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector More ❯

collaborate closely with product owners, asset designers, instructional designers and contractors to develop materials to support both synchronous and asynchronous learning, ranging from two year apprenticeships in AI Product Engineering to training for short burst skills training for first time managers. They should be fascinated by the potential for AI to make learning personalised, whilst recognising the need for … defining how the new content will be delivered and used. Influence and manage cross-functional teams. Apply advanced communication strategies to build consensus and secure buy-in from product, engineering, and delivery teams to ensure the end-to-end learning product is harmonised with the AI-driven approach. What you'll bring: Curriculum Design Expertise: Significant experience applying backward … and workflow automation tools. The ability to translate pedagogical rules into a technical rule set that can be executed by an AI machine. Solid understanding and application of prompt engineering principles for effective interaction with AI models. Project Management: Honed skills in leading content development teams, managing risks and time, developing schemes of work, and ensuring learning designers (both More ❯

Java Developer . Our client is large global Consultancy who work with enterprise clients, solving their business and technology problems using cutting edge Solutions. Responsibilities: Engaging in the entire software development lifecycle, from gathering requirements and designing solutions to coding, testing, deployment and ongoing maintenance Collaborating with stakeholders and leadership to understand and refine project requirements Working on diverse … projects and challenges in a consultancy capacity Advocating for and contributing to best practices in software engineering across teams and projects Key skills and experience: Must be either SC cleared or eligible Experience working as a Java Developer Java development experience Experience working within cloud environments If this role sounds of interest, then please apply with your updated More ❯

Developing trusted relationships with Verdantix clients and senior industry decision makers. Supporting marketing efforts by writing blogs and engaging in social media activities. About you... Experience working in a software firm, technology analyst firm, market research firm or consulting firm Educated to degree level with a preference for top-tier universities – desirable to have a relevant MSc, MBA or … PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets More ❯

Developing trusted relationships with Verdantix clients and senior industry decision makers. Supporting marketing efforts by writing blogs and engaging in social media activities. About you... Experience working in a software firm, technology analyst firm, market research firm or consulting firm Educated to degree level with a preference for top-tier universities – desirable to have a relevant MSc, MBA or … PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets More ❯

specific challenges. Contribute to the development of an efficient and scalable package for performing verification and robust learning. Requirements. The technical requirements for the role are: Previous Scientific and Engineering contributions to key problems in machine vision, such as object detection or tracking, typically evidenced via first-author papers in top computer vision conferences such as CVPR, ICCV, and …/or Robotics industries. Experience on industrial real world deployment of Machine Learning solutions. At a personal level we’re also looking for some who is: Passionate about helping engineering teams achieve their AI and ML goals. Comfortable and energized in a fast-paced environment. Excited about interacting with others and digging in to help solve their problems collaboratively. … to communicate clearly and efficiently with a variety of audiences including developers, customers, researchers, partners and executives. Fearless in getting "hands-on" with technology and execution. Knowledgeable about modern software engineering processes. Comfortable with ambiguity with a drive for clarity. Collaborative with, and respectful of others on the team. Honest, straightforward and caring about each other’s well More ❯

specific challenges. Contribute to the development of an efficient and scalable package for performing verification and robust learning. Requirements. The technical requirements for the role are: Previous Scientific and Engineering contributions to key problems in machine vision, such as object detection or tracking, typically evidenced via first-author papers in top computer vision conferences such as CVPR, ICCV, and …/or Robotics industries. Experience on industrial real world deployment of Machine Learning solutions. At a personal level we’re also looking for some who is: Passionate about helping engineering teams achieve their AI and ML goals. Comfortable and energized in a fast-paced environment. Excited about interacting with others and digging in to help solve their problems collaboratively. … to communicate clearly and efficiently with a variety of audiences including developers, customers, researchers, partners and executives. Fearless in getting "hands-on" with technology and execution. Knowledgeable about modern software engineering processes. Comfortable with ambiguity with a drive for clarity. Collaborative with, and respectful of others on the team. Honest, straightforward and caring about each other’s well More ❯

specific challenges. Contribute to the development of an efficient and scalable package for performing verification and robust learning. Requirements. The technical requirements for the role are: Previous Scientific and Engineering contributions to key problems in machine vision, such as object detection or tracking, typically evidenced via first-author papers in top computer vision conferences such as CVPR, ICCV, and …/or Robotics industries. Experience on industrial real world deployment of Machine Learning solutions. At a personal level we’re also looking for some who is: Passionate about helping engineering teams achieve their AI and ML goals. Comfortable and energized in a fast-paced environment. Excited about interacting with others and digging in to help solve their problems collaboratively. … to communicate clearly and efficiently with a variety of audiences including developers, customers, researchers, partners and executives. Fearless in getting "hands-on" with technology and execution. Knowledgeable about modern software engineering processes. Comfortable with ambiguity with a drive for clarity. Collaborative with, and respectful of others on the team. Honest, straightforward and caring about each other’s well More ❯

specific challenges. Contribute to the development of an efficient and scalable package for performing verification and robust learning. Requirements. The technical requirements for the role are: Previous Scientific and Engineering contributions to key problems in machine vision, such as object detection or tracking, typically evidenced via first-author papers in top computer vision conferences such as CVPR, ICCV, and …/or Robotics industries. Experience on industrial real world deployment of Machine Learning solutions. At a personal level we’re also looking for some who is: Passionate about helping engineering teams achieve their AI and ML goals. Comfortable and energized in a fast-paced environment. Excited about interacting with others and digging in to help solve their problems collaboratively. … to communicate clearly and efficiently with a variety of audiences including developers, customers, researchers, partners and executives. Fearless in getting "hands-on" with technology and execution. Knowledgeable about modern software engineering processes. Comfortable with ambiguity with a drive for clarity. Collaborative with, and respectful of others on the team. Honest, straightforward and caring about each other’s well More ❯

A Mid Level Python Engineer is required to join a Fintech company developing next generation tools for how companies get funding and optimise their working capital. Our client aims to change how corporate finance works, by replacing static, limited and More ❯

Software Engineer II Why Join Us? Are you passionate about building robust, scalable systems that make a real impact? At Governance, Compliance & Insights, you'll join a collaborative team tackling the unique challenges of enterprise data protection. Here, your ideas matter, your code shapes the future, and your work directly improves how global businesses safeguard their most valuable assets. … Build and operate Java services (Java 11+), leveraging Docker, Kubernetes/EKS, and AWS to deliver high-availability, high-throughput platforms. Collaborate & Lead: Work closely with product, UX, and engineering teams in Agile sprints, shaping platform capabilities and mentoring peers. Champion Resilience: Participate in on-call rotations and incident response, driving proactive improvements for platform uptime and reliability. Code More ❯

Description As a Product Manager at The Stepstone Group, youll collaborate closely with other Product Managers, Product Directors, Designers, Researchers, Data Scientists and Analysts, and in partnership with our Software Engineering teams, deliver products that contribute significantly to our company mission: make successful hires happen. You will be part of a team that has a 'user first' approach … building and scaling up high traffic products. 2+ years working on technology-powered products as a Product Manager. Demonstrated ability to learn multiple functional areas of business e.g marketing, engineering, design, finance, sales, etc. AI-Specific Requirements:? We are looking for Product Managers that are also Product Builders: you have hands-on experience building user experience- or data- product … proficient in at least one of the following areas: User-centric AI : hands-on experience with prototyping user experiences using platforms like Figma, Lovable or similar. Comfortable with prompt engineering and AI workflow design. AI assisted coding: experience with prototyping backend data products via assisted code writing, using agents or integrations like Claude Code, Cursor, Copilot, etc. For example More ❯

You Bring 5+ years’ experience architecting, building, and/or integrating POS platforms or payment processing systems in fintech, SaaS, or related high-growth environments. Proven proficiency in backend software engineering, API management, integration frameworks, and cloud infrastructure. Hands-on experience working with SDKs, SaaS platforms, and third-party system vendors. Strong grasp of payments technology (account-to … cross-functional teams (product, external developers, compliance). Willingness to drive change, iterate quickly, and grow with business needs, including stepping into elevated leadership roles. Degree in Computer Science, Engineering or related discipline. Opportunity & Growth This role is designed for ambitious technologists ready to architect foundational POS and payments infrastructure – and to grow into lead architect or technical leadership More ❯

You Bring 5+ years’ experience architecting, building, and/or integrating POS platforms or payment processing systems in fintech, SaaS, or related high-growth environments. Proven proficiency in backend software engineering, API management, integration frameworks, and cloud infrastructure. Hands-on experience working with SDKs, SaaS platforms, and third-party system vendors. Strong grasp of payments technology (account-to … cross-functional teams (product, external developers, compliance). Willingness to drive change, iterate quickly, and grow with business needs, including stepping into elevated leadership roles. Degree in Computer Science, Engineering or related discipline. Opportunity & Growth This role is designed for ambitious technologists ready to architect foundational POS and payments infrastructure – and to grow into lead architect or technical leadership More ❯

You Bring 5+ years’ experience architecting, building, and/or integrating POS platforms or payment processing systems in fintech, SaaS, or related high-growth environments. Proven proficiency in backend software engineering, API management, integration frameworks, and cloud infrastructure. Hands-on experience working with SDKs, SaaS platforms, and third-party system vendors. Strong grasp of payments technology (account-to … cross-functional teams (product, external developers, compliance). Willingness to drive change, iterate quickly, and grow with business needs, including stepping into elevated leadership roles. Degree in Computer Science, Engineering or related discipline. Opportunity & Growth This role is designed for ambitious technologists ready to architect foundational POS and payments infrastructure – and to grow into lead architect or technical leadership More ❯

You Bring 5+ years’ experience architecting, building, and/or integrating POS platforms or payment processing systems in fintech, SaaS, or related high-growth environments. Proven proficiency in backend software engineering, API management, integration frameworks, and cloud infrastructure. Hands-on experience working with SDKs, SaaS platforms, and third-party system vendors. Strong grasp of payments technology (account-to … cross-functional teams (product, external developers, compliance). Willingness to drive change, iterate quickly, and grow with business needs, including stepping into elevated leadership roles. Degree in Computer Science, Engineering or related discipline. Opportunity & Growth This role is designed for ambitious technologists ready to architect foundational POS and payments infrastructure – and to grow into lead architect or technical leadership More ❯

strengths. You’ll play a key role in ensuring our solutions are robust, well-integrated, and tailored to our customers' needs, all while collaborating closely with Sales, Product, and Engineering in a hybrid environment that values flexibility and connection. What you'll do: You will work mostly on post-sales operations. Work closely with the founders and the (future … repeatable playbook, incorporating learnings, frameworks, and best practices to support our growth. Who you are: Over 5 years of experience in Technical Project Management, Sales/Success/Solution Engineering, or other customer-facing roles with scale-ups or enterprise business clients. A technical background in software engineering, in the Payments or Fintech space. A passion for More ❯

strengths. You’ll play a key role in ensuring our solutions are robust, well-integrated, and tailored to our customers' needs, all while collaborating closely with Sales, Product, and Engineering in a hybrid environment that values flexibility and connection. What you'll do: You will work mostly on post-sales operations. Work closely with the founders and the (future … repeatable playbook, incorporating learnings, frameworks, and best practices to support our growth. Who you are: Over 5 years of experience in Technical Project Management, Sales/Success/Solution Engineering, or other customer-facing roles with scale-ups or enterprise business clients. A technical background in software engineering, in the Payments or Fintech space. A passion for More ❯

Platform Software Engineer page is loaded Platform Software Engineerlocations: London, GBRtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 30, 2025 (21 days left to apply)job requisition id: R28723FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that … FactSet.io group architect, build, and maintain a Platform-as-a-Service infrastructure used by all developers at FactSet. You'll operate in both the development and systems world, writing software that helps scale the systems and applications that we support for our internal consumers. The team provides a wide breath of open-source projects and technologies as-a-service … and Kafka. We use tools like Packer, Terraform, Chef, and Prometheus to manage our hybrid-cloud infrastructure in AWS. You'll tackle challenging problems and work with nearly all engineering groups at FactSet. Tech stack: Golang, react.JS, docker, PostgreSQL ,Redis, Kafka, terraform, AWS, Linux. REST ApisSquad team: 6 Software Engineers (Junior to principal software engineer) + the More ❯

that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to … building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self-starter mindset with a passion for innovation and impact through data If this role looks of interest, please reach out to Joseph Gregory/apply More ❯

that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to … building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self-starter mindset with a passion for innovation and impact through data If this role looks of interest, please reach out to Joseph Gregory/apply More ❯