801 to 825 of 3,951 Software Engineering Jobs in London

i.e., Cloud Platform Design, On‐prem to Cloud Migration, Automated Deployment, Infrastructure Provisioning, Security Testing and many more. You will work on different Platform Engineering, Platform Operations and Platform Security projects and collaborate with Product, Architecture and Software Engineering teams to deliver secure products and cloud platforms … support companywide OKRs and initiatives. You will contribute to BigHand Platform Engineering, Operations and security research and bring new knowledge inside the company. What you’ll do Champion DevSecOps: Promote secure ways of working and best practice across your team and the wider business. Build security into every stage ...

upon their monitoring, security & observability journey.Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.**Hybrid Model: 3 days a week from our London-based office.****Key Responsibilities*** Collaborate … most appropriate solutions for their needs.#### Requirements* Minimum 5 years of experience in a customer-facing role such as pre-sales, solutions engineering or technical architecture.* Exceptional communication and presentation skills.* Proven ability in technical integrations and conducting POCs.* In-depth knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus ...

maintain MLOps/LLMOps pipelines (CI/CD, automated testing, packaging, promotion/rollback, model/version management) to enable repeatable releases Develop reusable engineering assets (libraries, templates, reference architectures, infrastructure-as-code patterns) to reduce technical debt and accelerate delivery Implement observability for AI services (logging/metrics … documentation expectations Translate business requirements into technical designs; communicate trade-offs and recommendations clearly to both technical and non-technical stakeholders Contribute to engineering standards and ways of working (code reviews, design reviews, documentation) and help uplift team capability through practical coaching To be successful in this role ...

beautiful modern office, daily catered lunches, and more. As a Site Reliability Engineer (SRE), you will work at the intersection of production operations and software development as you improve, manage, and monitor production-critical infrastructure and data pipelines. At Voleon, many SREs serve together on a Production Operations team … tasked with improving shared production infrastructure. Others are embedded with teams of software engineers to improve specific production systems owned by those teams. Voleon SREs work on important real-world problems and collaborate with passionate and talented colleagues in an empowering, results-driven environment. This role ...

term. Here at Burendo, we're recruiting an experienced Full Stack Engineer who is passionate about operating and improving production systems. This role combines software engineering with service ownership, requiring individuals who are comfortable delivering small, low-risk changes, responding to incidents, managing operational risk, and continuously improving … infrastructure and cloud platforms. Experience with monitoring and observability tooling (e.g. Azure Monitor, Application Insights, Grafana, Datadog, Splunk, Dynatrace). Demonstrable understanding of reliability engineering principles, operational excellence and service ownership. Nice-to-Haves Experience with any of the following Azure technologies: Container Instances, Functions, AKS, SQL API Management ...

analyst workload while maintaining regulatory standards. We're looking for a Senior Full-Stack Engineer to help us scale our platform and raise the engineering bar. You'll architect and deliver complex features across the entire stack - from React frontends to Python backends to LLM integrations - while mentoring teammates … alerting, and performance optimizations for production AI systems Mentor and uplift junior and mid-level engineers through code reviews, pairing, and technical guidance Shape engineering practices - contribute to architecture decisions, coding standards, and team processes Collaborate cross-functionally with Product, Design, Compliance, and other engineering teams to deliver ...

team, a global group responsible for the development, design, research and enhancement of index methodologies, analytics and investment solutions. The team works closely with Engineering, Technology, Data Operations, Product, Sales and clients to deliver innovative index capabilities and analytical solutions. We are seeking a highly technical and versatile Senior … across multiple teams and disciplines. Key Responsibilities Develop, test and maintain Python and SQL-based research tools, investment analytics and data pipelines, applying strong software engineering and CI/CD practices. Perform detailed data analysis, validation and quality assurance across large financial datasets; investigate anomalies and identify root ...

critical role and we’re committed to using AI to work smarter and faster. About the Role We’re looking for a Senior Software Engineer to join our Intercept team, which builds the Endpoint Agent and Browser Extension that run on our customers' devices, and the backend services behind … design and build complex Java backend services and make significant contributions to the agent's Rust codebase and the extension's TypeScript codebase. This software has to be fast, resilient and trustworthy across operating systems and real-world conditions. Java is the foundation. You don't need expert-knowledge ...

develop and deploy enterprise‐scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through … emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large‐scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that drive decision making for senior stakeholders. Build and maintain ...

. He lp maintain a stable production environment. Use AI coding tools to accelerate delivery while maintaining rigorous code quality through reviews and strong engineering judgement. What You'll Love About This Role Think Big: Work with a modern Java/Spring/cloud tech stack and help remove … developer growth. What Success Looks Like In your first few months, you'll have: Delivered key features across our applications using sound architectural and software engineering principles. Collaborated effectively to support successful delivery. Demonstrated a passion for learning and sharing knowledge with others. Developed a strong understanding ...

build and improve the Club’s data foundations, enable trusted self‐service reporting and support the practical adoption of AI. The role combines data engineering and analytics engineering and will work closely with specialist data and AI partners. Success will require strong technical breadth, sound judgement … impact, prioritise work with the role’s manager and stakeholders, and see each piece of work through to documented handover and adoption. Hands‐on engineering: Build, test, run and continuously improve reliable pipelines and integrations from Club systems, including CRM, ticketing, finance, HR and operational platforms. Develop and maintain ...

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 ...

rest and in transit. Make and record architecture decisions for the platform, and keep them visible to the wider team. Work with the software engineering team to ensure we're delivering the right infrastructure at the right time. Work with our data engineers on the infrastructure behind BigQuery … clear growth plan. Set platform standards and help the iGaming and Rewards tech leads adopt them. Shape the platform roadmap with the Director of Engineering and plan how the team grows. Hire into the platform team as it expands. About you Significant experience as a platform, cloud or infrastructure ...

research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities. Collaborate with product managers, data scientists, and other engineering teams to define agent requirements and deliver impactful solutions. Monitor, evaluate, and fine-tune deployed AI agents, ensuring high accuracy, reliability, and scalability. Contribute … learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software engineering principles, including design patterns, data structures, and algorithms. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus. ...

brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data … when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented ...

measure whether it worked. You will have the autonomy and authorization to make design, product, and architecture decisions within guidelines set by design and engineering leaders. You’ll build with AI agents as your default tooling. At Odeko, AI-assisted development is a professional standard and engineers are measured … output safe to ship. Raise the team's bar: mentor other engineers, share agent workflows and prompts that work, and contribute to our AI engineering standards. About you: 6–10+ years of professional software engineering experience (or equivalent), with a track record of shipping and operating production ...

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 ...

contribute to the platform capability development for our whole organization, we invite you to apply. Responsibilities Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale Take offline models data scientists build and turn them into a real machine learning production system … handle machine learning training and inference Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning ...

Business, Data Science, Information Technology, or a related field Preferred qualifications, capabilities, and skills Possession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP) Possess knowledge ...

Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning. Experience of software engineering in an enterprise environment. The ability to write production-grade code and to use coding ...

looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high-quality products or platforms. You hold a degree in Computer Science, Computer Engineering ...

Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will … powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability ...

Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will … powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability ...

customers to solve some of the toughest digital challenges faced in the world today. Role & Responsibilities You’ll be part of our experienced Software Engineering function, working in a cross-functional Agile team. The Senior Data Engineer role will be responsible for building and maintaining data processing pipelines ...

improve efficiency and scalability. Champion a culture of collaboration, inclusion, and continuous improvement. Education and Experience Minimum Requirements Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 5–7 years of professional experience as a Drupal developer, preferably in a senior ...