1,751 to 1,775 of 4,044 Software Engineering Jobs in London

should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. Everfox is seeking a versatile AI Software Engineer who thrives in unfamiliar codebases, learns quickly, and improves systems across diverse, fast‐moving projects. You’ll build AI‐driven features, enhance engineering … engineer in other teams’ codebases, aligning on scope, following conventions, and delivering clean, maintainable handovers. Share knowledge, patterns, reusable tooling, and guidance to improve engineering practices across the organization. Uphold high standards for quality, security, logging, testing, failure‐mode thinking, and responsible AI data handling. Contribute to CI/ ...

will act as the executive face of technical delivery to client C-suites (CDO, CIO, CTO), bridging high-level data strategy with globally distributed engineering execution. Operating at the intersection of cloud engineering, modern data platforms, and strict regulatory compliance, the architect establishes future-proof data modeling … company-wide technical standards while driving key legacy-to-cloud modernizations. Requirements Industry Leadership: 15+ years of digital engineering or IT consulting experience within BFSI, leading complex enterprise transformations. Platform Expertise: Deep technical proficiency in modern data platforms (Databricks, Snowflake) and toolsets (dbt, Airflow, Kafka). Advanced Architecture ...

community. Support the development of junior engineers through mentoring, code reviews, and collaborative learning. Required Skills Hands‐on experience in machine learning engineering, software engineering, or developing applied AI solutions. Proven experience delivering Generative AI applications using Large Language Models (LLMs) and orchestration frameworks. Strong Python programming ...

improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide technical direction. … reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. Partner with engineering teams to deploy and scale machine learning systems in production. Produce clear technical documentation and share expertise through mentorship, design reviews, and technical leadership. ...

dozens of countries worldwide. Role Overview The Development team behind our client's client trading infrastructure is a highly talented group of versatile software engineers serving hundreds of clients. As an Atlas Developer, your primary responsibility will be to design, develop, and maintain front-to-back trading infrastructure covering … aspects of the trading lifecycle, including order management, exchange connectivity, smart order routing, internalisation, and clearing. This includes designing and building software within existing trading systems, and improving the scalability, performance, and efficiency of the infrastructure. They're looking for self-directed, passionate developers with a solid technical foundation ...

Experience with relational databases and SQL query writing Good understanding of REST APIs, real-time systems, and CI/CD Strong knowledge of software engineering best practices and Agile development methodologies Experience in start-ups or SMEs with varied responsibilities Collaborative and pragmatic approach with strong communication skills ...

them into scalable technical solution designs.Build, integrate, and optimize AI applications using Python and leading AI development frameworks.Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls.Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services.Collaborate with … architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle.Provide technical leadership on AI solution architecture, best practices, and technical delivery.Keep pace with advancements in Large Language Models, Agentic AI, cloud technologies, and emerging AI frameworks, incorporating relevant innovations into client solutions.Support business development activities, client workshops ...

capital providers and quota share partners make us nimble. Our breadth of expertise and capabilities deliver outstanding market returns. The role The Analytics Product Engineering team at The Fidelis Partnership (TFP) builds and manages a bespoke analytical platform that powers our partnership-driven business model. We combine actuarial expertise … with advanced technology to deliver innovative, scalable solutions. The Platform Engineer partners with the Analytics product engineering team to design, build and operate platform capabilities that enable our market leading high-performance, distributed computing products to run reliably, securely and efficiently at scale. This includes infrastructure automation, runtime orchestration ...

applications for performance and reliability Develop quick prototypes and high-quality products according to the context Design, code, test, and document complex data engineering scripts and applications using SQL, Python, and software engineering best practices Collaborate with Product Management and stakeholders to understand business requirements and translate ...

Zopians in our Technology teams are varied and rapidly evolving as the power of the tools we use to support building, testing, and deploying software grow more powerful. We have exciting opportunities across a broad set of disciplines including software engineering, data engineering, analytic engineering ...

your application will be rejected. Education : a graduate (undergrad or postgrad) with a technical academic background in artificial intelligence (AI), computer science, software engineering, or a related field. Artificial Intelligence (AI) literacy: confident with n8n, git (branches, commits, pull requests) and already build with agentic coding tools (Claude … every system. Occasionally assist with wider CyPro operational and marketing tasks when required (for example reporting, research, blog tooling, website changes). Security Engineering: support with the creation of new detection rules in the SOC. Learning and Development Become fluent in workflow automation, python, JavaScript, REST APIs ...

role We are looking for a hybrid, highly technical GTM Engineer to bridge the gap between marketing technology, revenue operations, and software engineering. In this role, you won't just be configuring tools, you will be architecting, automating, and maintaining the engine that powers our revenue ecosystem, working alongside … your Engineering & Operations peers. The team As a pillar of WGSN’s Revenue Systems function, the Digital Marketing team is a team of SMEs that drives measurable growth across the entire customer lifecycle from brand awareness to sales and retention. We operate at the intersection of strategy and technology ...

About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including … raised, DriveNets continues to push the boundaries of modern networking infrastructure. Description Senior Power Integrity Engineer DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance ...

exciting opportunity to join an industry-leading company in the nonprofit software market. At Enthuse, we’re on a mission to transform digital fundraising by building the technology that empowers great causes. Our donations, event registration, and fundraising platform helps thousands of charities raise millions. Launched … Republic of Ireland. What's more, Enthuse is the official online fundraising partner for London Marathon Events and Great Run. Reporting to the Engineering Manager , you’ll pioneer the development of innovative software solutions that align with our company's goals — and also help build and grow ...

customers. Continuously gather feedback from developers to improve tools, documentation, and overall integration processes. Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or a related technical field, with a 2:1 or above (UK) or GPA of 3.5 or above (US). At least … years at a SaaS vendor, preferably in the AI and/or Cybersecurity space Strong technical skills with experience in software development, system integration, and creating customer‐facing developer resources such APIs, SDKs and documentation. Experience of Full Stack Web development and Cloud Architecture Demonstrable Experience with JavaScript, NodeJS ...

DevEx . Gigaton have ambitious goals, and we need to move quickly. You will be entrusted with the architectural decisions that help our entire engineering organisation ship at speed. You will lead through collaborative work and design documents, to build consensus and plan the work that unblocks and supports … directly with their IT and infrastructure teams to navigate requirements and constraints. Assist more junior team members with their development, helping them learn core software engineering skills and best practices. Propose and drive improvements to existing systems and pipelines. What a great fit looks like You have deep ...

patterns from sensors, test new hypotheses, and help bring impactful insights into production. You’ll work closely at the intersection of data science and engineering, generating scalable, real-world insights from GPS, accelerometer, and other spatial data. What you will be doing Build and refine behavioural features and factors … ranging from simple heuristics to complex machine learning models. Build robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers,Data Scientists, and Product Managers to implement features and evaluate their impact. Run experiments, test new ideas, and assist in automating insight generation. Translate complex ...

security improvements Requirements Develop scalable, maintainable web applications regardless of framework (React, Vue, Svelte, vanilla JS) BSc or MSc degree in Computer Science, Computer Engineering, Software Engineering or related disciplines from reputable universities 7+ years of professional web development experience Deep knowledge of Babel, Vite, and esbuild ...

Hybrid role working from our London office 2 days a week Are you a quality champion who thrives on collaboration, technical excellence and automation engineering? We are looking for a Senior Quality Enginee r who combines strong software engineering and test automation skills with a passion … play a key part in shaping automation frameworks, improving continuous testing capabilities and embedding quality throughout the development lifecycle. You will work closely with engineering teams across mobile, backend, DevOps and security to deliver reliable, scalable and high‐quality digital products. At Waracle, we believe that diverse perspectives drive ...

link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one. What You'll Actually … Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days ...

Awards. This is a hands-on, high-ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work … Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function, you'll be responsible for ensuring your solutions are robust, scalable, and performing in the real world long after they ship. GenAI & LLM Application ...

recent AI models (e.g. via Huggingface (transformers), OpenAI APIs); Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI). Evidence of participating in Open-Source Software (OSS) development, public hackathons, or other sharable coding samples. Deep expertise in embedding-based architectures, including bi-encoders, cross-encoders, etc. for long-horizon … asynchronous APIs for embedding and/or other compute-intensive services. Proficiency in Python for building high-performance data and model pipelines, with strong software engineering discipline (testing, versioning, CI/CD). Good familiarity with the Azure ecosystem (Azure Kubernetes Service, Azure Batch, Azure AI Foundry, Azure ...

hallucination and drift detection, robustness testing, benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red-teaming Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt injection, tool … credit, counterparty or market risk is helpful context rather than a prerequisite Relevant professional or research experience spanning AI, machine learning, quantitative analytics, software engineering, model risk management or related disciplines, we prioritize demonstrated, practical skill with advanced AI and agentic systems over years of experience Drive ...

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 ...

operational efficiency. This position is ideal for arecent MA graduateor early-career technologist with strong academic grounding inArtificial Intelligence (AI),Machine Learning (ML), andmodern software development techniques. The role will work across Film, TV, Games, and Ads to turn small problems into creative solutions. Sittingoutside the core development team … accelerate the process oftech-enablingthe business and building a culture of innovation from the ground up. Key Responsibilities: Identify, scope, and deliver innovative software solutions to improve operational workflows and business processes. Use a combination of AI/ML, scripting, and traditional development methods to build prototypes and production ...