1,426 to 1,450 of 4,050 Software Engineering Jobs in London

ensure they operate with safety, trust, and intelligence at scale. You won’t just be integrating AI into a product, you will lead the engineering systems that make these technologies trustworthy, robust, and scalable for enterprise clients. We are looking for a Senior/Lead AI Engineer to provide … technical leadership and architectural direction to our AI engineering team. In this role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications. Requirements 5+ years of software engineering experience, including ...

align on requirements, and deliver data‐led transformations Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management Provide technical leadership and mentorship through code reviews, design reviews, best … practices, and upskilling across data science and engineering partners Communicate with technical and non‐technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans Maintain strong documentation for approaches, model cards, runbooks, and operational procedures Required Qualifications, Capabilities, and Skills Master’s degree in a quantitative field ...

enjoy solving operational challenges, improving observability, and collaborating with engineers to deliver resilient, scalable platforms? About our Team Join a collaborative and supportive engineering team powering Scopus, working closely with colleagues across the Netherlands, London, and India. We are passionate about reliability, automation, and cloud technologies, and we provide … team. In this role, you'll help ensure the reliability, scalability, and performance of the systems that power Elsevier's products, working closely with software engineers, platform teams, and other systems engineers. This is an entry-to-mid-level position, ideal for engineers early in their career who want ...

deep in backend architecture, building production-grade agent orchestration, designing data pipelines, and solving problems at the intersection of software engineering and quantitative forecasting. You'll work directly with the founders. There are no layers between you and the decisions that shape the product. What … technical strategy alongside the founders. You'll have a voice in what gets built and why. Evaluating and vetting technical candidates as the engineering team grows. Bad News We're early. The engineering function is still being built. Documentation is thin and processes are light Priorities will shift ...

founders to architect, build and scale Wexler's agentic systems for document analysis, powered by our state-of-art fact extraction engine. As a Software Engineer, you will work closely with the founding technical team and contribute to the technical architecture of our product and delivery of our ambitious … product roadmap. You'll play a key role in shaping the culture of our Technical organisation and will learn alongside expert Software and Machine Learning Engineers. You will rapidly take on more responsibility and have a clear path to a leadership position. Please note we have two open positions ...

mission, values, and purpose align with your own, we would love to hear from you! Your opportunity This is a hands-on engineering leadership role. You will build, and you will lead the people who build. It starts with your own hands on the keyboard; it grows into ownership … technologically sophisticated asset manager in the industry. Our AI capability sits in a single centralised function under the Head of AI, and Forward Deployed Engineering is the part of it that embeds with the business and builds what business units cannot stand up alone. As Principal Forward Deployed Engineer ...

consumed by portfolio managers and senior investment professionals. The successful candidate will operate at the intersection of machine learning research, quantitative analytics, and AI engineering, contributing to both model development and data infrastructure initiatives. Key Responsibilities Quantitative Machine Learning Research Design, develop, and deploy machine learning models for prediction … remain traceable, auditable, and linked back to source material. Investigate novel applications of generative AI and large language models within quantitative research workflows. Data Engineering and Infrastructure Design and develop scalable data pipelines supporting machine learning and research initiatives. Build processes for data ingestion, cleaning, transformation, and feature generation. ...

nearly $400 million in funding from leading global venture capitalists. Our recognition as a Visionary in the 2024 Gartner® Magic QuadrantTM for Financial Planning Software underscores our commitment to excellence, as we proudly partner with industry leaders like Unilever, Vinci, Kayak, Siemens, and Coca-Cola. At Pigment, we champion … brightest minds in the industry, we would love to hear from you! 🚀 The Opportunity: Join our Product Community team as a Frontend Software Engineer and play a key role in shaping cutting‐edge user experiences! You'll work on exciting, high‐impact projects ranging from AI‐powered features ...

Fairness, Trust). You are driven, and having a lot of autonomy motivates you. You prioritise product and user experience. You are a collaborative Software Engineer with proven professional experience in Javascript/Typescript , React , and Node.JS , you possess a strong understanding of API design , consumption, and client-side … Mongo and version control systems such as Git . With excellent problem-solving skills and attention to detail, you demonstrate a solid understanding of software development principles, design patterns, and best practices. You have experience in cloud platforms, deployment processes, and OAuth -like flows. Ideally with experience integrating ...

from initial prototyping to production‐grade deployments. These are some of the key ingredients to the role: Design, develop, and deploy high‐quality, scalable software solutions, focusing on AI‐enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring … genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high‐quality work and driving forward best practices in software engineering. Stays up to date with ...

align on requirements, and deliver data-led transformations Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management Provide technical leadership and mentorship through code reviews, design reviews, best … practices, and upskilling across data science and engineering partners Communicate with technical and non-technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans Maintain strong documentation for approaches, model cards, runbooks, and operational procedures Required Qualifications, Capabilities, and Skills Master’s degree in a quantitative field ...

enjoy solving operational challenges, improving observability, and collaborating with engineers to deliver resilient, scalable platforms? About our Team Join a collaborative and supportive engineering team powering Scopus, working closely with colleagues across the Netherlands, London, and India. We are passionate about reliability, automation, and cloud technologies, and we provide … team. In this role, you'll help ensure the reliability, scalability, and performance of the systems that power Elsevier's products, working closely with software engineers, platform teams, and other systems engineers. This is an entry-to-mid-level position, ideal for engineers early in their career who want ...

Ship infrastructure through code review rather than the console, using Terraform and a proper pull‐request workflow. Document what you build and raise the engineering standard around you. Requirements Essential Expert Python, with deep hands‐on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm … CUDA‐based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console. Strong software engineering fundamentals: Git and pull‐request workflow, automated testing, CI/CD. Able to explain technical trade‐offs clearly to people ...

operate in multiple DevOps roles Can lead others on a project Can manage project teams effectively using agile principles and quality assurance Can apply software engineering principles and concepts eg using Git and Python Can build and deploy production ready machine learning pipelines eg using Python Comprehensive cloud … experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer ...

technical debt and increasing standardisation, reuse and operational efficiency across the technology estate More About You Degree-qualified or equivalent professional experience in IT, software engineering or a related discipline Microsoft certification in Power Platform, Azure Integration Services or AI technologies Significant experience designing, developing and supporting Microsoft … translate solution designs into secure, supportable and maintainable technical solutions Excellent communication and stakeholder-management skills, with the ability to work effectively across architecture, engineering, operational and business teams Choosing us is easy As an employee of A2Dominion, we want you to feel rewarded and have a choice ...

entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You will ...

Bristol/London/Manchester/Swansea) Reporting To: Stephen Strudwick Compensation: £70,000 - £90,000/year Description Based within the Cloud & Engineering Practice, the Lead Technical Architect role is accountable for driving the growth of our architecture capability while supporting client deliveries and providing technical assurance … engineering teams. We’re looking for technical leaders who can work closely with client stakeholders and our delivery teams to help shape, design and deliver predominantly cloud-based architectures. They will also provide architecture oversight and help clients to develop and evolve their technical strategy. People in this role ...

Role This role requires 2 days per week in the office and is based in London . Join us to shape the future of software in the underserved and high-impact HR technology industry. Your work will have a direct and tangible impact on customers, offering ownership … governance policies to protect sensitive information. Ensure compliance with data privacy regulations. Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide timely and accurate support. Documentation: Create and maintain comprehensive documentation for data engineering processes, data ...

capabilities, offerings, and accelerators. Collaborate with strategic technology partners including Microsoft, Databricks, Snowflake, AWS, and Informatica. 15+ years' experience within Data & Analytics, Data Engineering, or Enterprise Data Architecture. Strong experience designing enterprise-scale cloud data platforms using Microsoft Fabric, Databricks, Snowflake, Redshift, Informatica, and Spark-based technologies. Extensive expertise … awareness supporting large-scale digital transformation opportunities. Experience developing reusable accelerators, thought leadership content, and go-to-market offerings. Qualifications Degree in Computer Science, Software Engineering, Data Science, Information Systems, or equivalent industry experience. Microsoft Certified: Azure Solutions Architect Expert. AWS Certified Solutions Architect – Professional. Databricks Certified Solution ...

Ship infrastructure through code review rather than the console, using Terraform and a proper pull‐request workflow. Document what you build and raise the engineering standard around you. Requirements Essential Expert Python, with deep hands‐on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm … CUDA‐based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console. Strong software engineering fundamentals: Git and pull‐request workflow, automated testing, CI/CD. Able to explain technical trade‐offs clearly to people ...

part of an agile team using declarative tools, backed by Microsoft and using our owntechnical accelerators. You will be part of teams that follow software engineering best practices, and youwill have a say in the design of a solution.You can bring your whole self to work. At Capgemini … deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real | www.capgemini.com #J-18808-Ljbffr ...

Ship infrastructure through code review rather than the console, using Terraform and a proper pull-request workflow. Document what you build and raise the engineering standard around you. Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm … CUDA-based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console. Strong software engineering fundamentals: Git and pull-request workflow, automated testing, CI/CD. Able to explain technical trade-offs clearly to people ...

lead developer for our dbt project. Build performant, modular, and well-tested models that turn data into a reliable “Source of Truth.” Apply software engineering rigor to the data stack: version control (Git), documentation, unit testing, and CI/CD. Partner with business leads across the company … BigQuery, but the experience is very transferrable). Expert-level SQL: You write complex, clean, and performant queries. Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. AI Comfort: You are an “AI-first” builder ...

making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services and transformation that make a positive and meaningful impact on organisations and society. We're confident in our abilities … Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile ...

build practical machine learning and generative AI solutions that can move from experimentation into production. You'll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale. This is a hands-on role … code and own solutions from proof of concept to deployment Improve model accuracy, reliability, and performance by identifying optimization opportunities Partner with product and engineering teams to build scalable and maintainable solutions Contribute technical expertise to model design and platform implementation decisions Share knowledge and help elevate the technical ...