1,401 to 1,425 of 4,044 Software Engineering Jobs in London

Python, Java, or Scala. Experience with data pipeline and workflow management tools. The candidate must have a Bachelor's degree in Computer Science, Software Engineering, or a related field. A Master's degree or further education in Data Science or a related field is preferred. Preferred Skills Familiarity … warehousing solutions and ETL tools. Familiarity with data architecture and data modeling techniques. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Knowledge of software development methodologies like Agile/Scrum. Understanding of data privacy and governance. #J-18808-Ljbffr ...

your impact at scale.**Job Description:**# **Job Summary**We are looking for a Product Engineer to join our AI Search and Retrieval Context Engineering as we build the next generation of legal AI experiences for law firms. This is not a traditional front-end developer role where requirements … handed over and built from a specification. It is a hands-on product engineering role for someone who can understand the problem, shape the user experience, think through the system design and then build high-quality software. The role is primarily focused on React, TypeScript and modern user experience ...

Engineering/Product/Tech · London · Full-time About Cardo AI At Cardo AI, we've been on a mission since 2018 to make Private Credit and Asset-Based Finance (ABF) markets more accessible and efficient. Today, with over $40 billion in assets under technology, our platform empowers banks … finance data, where a logic error has real financial consequences. Mentor and grow engineers across levels, building a high‐performing team with a strong engineering culture. Collaborate cross‐functionally with Product, Data, and Business teams to shape roadmaps and deliver real impact. Champion AI adoption across the organization ...

structuring, and cost management; Be proficient in Infrastructure-as-Code, preferably Terraform, and build provisioning or automation frameworks used by other engineers; Have solid software engineering skills in Go, Python, or similar for internal tooling and automation; Understand Kafka, gRPC, Postgres/MongoDB, Redis, and CI/… unblocking and mentoring engineers through code reviews, design reviews, knowledge sharing, or best practices; Have excellent collaboration and communication skills for working with multiple engineering teams at global scale; Nice to have: GitOps tooling such as Argo CD or Flux, progressive delivery, service mesh technologies, multi-cluster or multi ...

raised a total of $40 million from world leading investors including Sequoia Capital, ICONIQ and Ribbit. The Role We are looking for an exceptional Software Engineer (Python) to help build the AI platform that powers intelligent workflows for the world's top financial firms. In this role, you will … performance and reliability, and want to work on systems that move from idea to production in days. You'll be joining a world-class engineering team with deep experience building AI systems at scale. What You'll Do Build and evolve Nevis' Python-based AI platform, powering core workflows ...

Accelerator, ensuring that models can move efficiently from experimentation to reliable production deploymentand support. You will define the tooling, platforms and engineering practices that enable large-scale model training, experiment tracking, deployment, monitoring and governance. This is both a strategic and hands-on technical leadership role. You will define … defining and evolving the end-to-end model lifecycle, including training orchestration, experiment tracking, model registries, CI/CD, deployment and monitoring. EstablishMLOpsstandards and engineering practices, including model testing and validation, containerisation, deployment patterns, model packaging, release management and production operations. Establish standards for model artefact management, versioning, lineage ...

deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. The people who love this role are developers who like … either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Coach and develop your colleagues where you have insights Grow a healthy, collaborative engineering culture in line with the company values Work from the comfort of your home Global travel up to 25% of time for internal ...

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing … drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards ...

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing … drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards ...

DevOps Engineer you provide a bridge between development, testing, network/infrastructure, operations and system administrators to facilitate efficient, continuous and high quality software delivery. The processes and tooling implemented by the DevOps Engineers enables Software Engineers to turn source code and associated artefacts into installation media … reengineering with exemplary team working and communication skills. As a DevOps Engineer you should have a good breadth of knowledge across the disciplines of software development and how software is deployed. You will be working in a multiple disciplined team, and require a broad range of technical ...

Agentic Technical Delivery Lead who has been there before — multiple times. Someone who has personally designed and shipped GenAI and agentic solutions, led the engineering teams that built them, and carried the accountability when things did not go to plan. Someone who has made the hard calls: when … another team. Actual production systems, with real users, real data, real edge cases, and real consequences when something went wrong. You have led engineering teams — hands-on enough to review a pull request and challenge a design decision, senior enough to set the technical direction and make it stick. ...

multi-year observability, cost, and reliability investments that move WRITER's enterprise customers. Cross-functional collaboration. Operate at the seams with product, security, and engineering peers — provide expert guidance on system design for reliability, performance, and scalability from conception through launch, Connect the infra agenda to product and revenue … context, and disagree with evidence, not volume. What you need Technical Track record. 5+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems at a high-growth product company. Breadth. Experience running containerisation in production ...

seeking a GNSS Engineer to join our growing UK team. As a member of this team, you will collaborate with our navigation and software engineers in the support of the development and certification of next generation LEO GNSS downstream applications. You will plan and conduct GNSS testing across … controlled setups and representative operational scenarios. You will be responsible for designing simulation activities and analyzing results from simulations and testing across commercial programs. Software Development: You will be supporting software development and engineering activities which may include algorithm development, test automation or Digital Signal Processing ...

strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning, and engineering excellence. You will manage, coach and develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial … disciplinary teams to deliver high quality AI/ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience ...

architectural principles, strategicdirectionand system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning,and engineering excellence. You will manage,coachand develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial acumen.Youwillalso … Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series, supervised/unsupervised learning, reinforcement learningand LLMs. Experience with the latest ...

architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry, designed inside the build, not bolted … client engineers during Transform engagements Evaluating emerging AI tools, frameworks and protocols, and making pragmatic adoption calls What We're Looking For Essential Strong software engineering foundations, clean code, testing, CI/CD, production mindset, with strong general-purpose programming (e.g. Python, TypeScript) and proficiency in 2+ modern ...

text analytics, and emerging AI capabilities to support complex decision-making at scale. As the organisation continues to grow, they are expanding their AI engineering capability and investing heavily in their platform and infrastructure. The Role You will: Own and evolve the infrastructure that powers a suite … Terraform or Bicep. Develop robust CI/CD processes and observability frameworks to ensure reliable and secure ML operations. Collaborate closely with Data Scientists, software engineers, and client-facing teams to deliver scalable AI solutions. Influence technical standards, best practices, and the future direction of the organisation ...

Candidate FAQ The Role — Technical Lead We're looking for a Technical Lead to join one of our product teams, reporting to an Engineering Manager. You'll play a key role in enabling the team to build at pace and to a quality our users and clients can rely … TypeScript, React, GraphQL, Node.js, Python, Golang and SQL. You don't need hands-on experience with every tool; we're more interested in strong software engineering fundamentals and curiosity to learn. You'll embed AI into how you deliver. Use Claude Code throughout your workflow – scoping, designing, coding ...

operate with safety, trust, and intelligence at scale. You won’t just be integrating AI into a product, you’ll be building the engineering systems that make it trustworthy. Requirements Who You Are 5+ years of software engineering experience, including hands‐on experience shipping agentic … agentic framework such as LangGraph, plus familiarity with MCP‐based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code — you care about system reliability as much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building ...

role gives you the space to make a real impact. You will join a modern, cloud‐native environment where squads genuinely care about secure engineering, and you will have the autonomy, tooling and influence to help them excel. You will work alongside our existing Senior AppSec Engineer and Security … Architect, strengthening our capacity and resilience as we continue to mature our security services. This is not a vulnerability management position. It is true engineering‐led AppSec, shaping secure design, embedding controls into CI/CD, operating core security services and getting into the technical detail ...

documented data controls, reports and dashboards — using a modern, automated tech stack. This role is best suited to an analytically minded person with an engineering mindset: someone who instinctively looks to automate and simplify rather than accept a manual, spreadsheet-driven process, and who is confident proposing new ways … enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails. Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant. Ways of Working ...

role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions.You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively.Data Platform sits … fundamentals and the ability to apply them pragmatically:* Solid programming ability (Python or similar)* Strong experience with Snowflake (or similar warehouses)* Good understanding of software engineering patterns and architectures* Experience building data-intensive systems* Cloud experience (AWS preferred)* Infrastructure as code (Terraform ideally)* CI/CD best practices ...

systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees … strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a talented Software Engineer to join our X Money team, focused on building a revolutionary global payment network that will serve over 600 million users and rival ...

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 ...