476 to 500 of 648 Open Source Jobs in the UK

role You will take a leading role on our complex Oracle Cloud implementations, working with SaaS, PaaS, and IaaS components from across the Oracle portfolio in addition to incorporating open-source technologies, cloud-native approaches (APIs, microservices, modern applications) and products from other cloud vendors where suitable and relevant You will operate as a Data Migration Architect for More ❯

order? Experience with cloud platforms (AWS, GCP, or Azure). Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field. Experience with fine-tuning open-source LLMs (e.g., Llama, Mistral, Falcon). Familiarity with MLOps tools and principles for deploying and monitoring models in production. Proven professional experience as a Machine Learning Engineer More ❯

hubs. This role is pivotal to not only continuing to enhance our corporate IT systems but also in the design of novel solutions to some of the challenges our Open Source Intelligence (OSINT) analysts face. The ideal candidate will have a breadth of experience supporting complex IT systems across a global user base and a sound understanding of More ❯

development experience in a range of programming languages such as C, C++, Python, Java or C# The ability to develop and integrate software systems using both bare metal and Open Source/Commercial Operating systems Knowledge and implementation of complex software solutions Previous experience developing for embedded platforms Prior experience with Unit Testing & CI/CD tools Experience More ❯

organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution More ❯

requirements • Security/threat modelling expertise : Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience : Trading systems, fraud detection, or other low-latency critical infrastructure • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA More ❯

requirements • Security/threat modelling expertise : Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience : Trading systems, fraud detection, or other low-latency critical infrastructure • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA More ❯

Cloudwatch to measure performance and monitor production.Kraken is a great place to learn, work with some talented engineers and level-up your skills. Some of our coding conventions are open-source. Our technology On the server-side, we mainly use Python. Most of our websites are powered by Django, Django-REST-framework and GraphQL (Graphene). We use AWS More ❯

whose remit is to provide analytical support on CMA cases and develop tools to improve how the CMA operates. We build most of our tools ourselves, on top of open-source software, using our custom analysis platform built on the AWS infrastructure. Data scientists in our team have space to explore the use of new, cutting-edge techniques … an accredited Disability Confident Employer, and we are an equal opportunities employer, welcoming suitably qualified applicants from all backgrounds. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles. More ❯

solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and More ❯

solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and More ❯

solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). * Generative AI features: embeddings, RAG, AI agents. * Clean, testable code with modern engineering practices. * Align with enterprise architecture and More ❯

experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

architecting components where necessary in a modern language ( C# or .NET ). Supporting any small remaining elements of Delphi UI work. Key Skills Required ? Delphi (essential) ? Experience with Lazarus (open-source Delphi IDE) - highly beneficial ? Knowledge of WebSockets and REST APIs in Delphi ? Strong communication skills and a collaborative mindset ? Ability to assess and re-engineer Legacy codebases More ❯

and creation of solutions from 0-1, solving ambiguous and complex challenges. Experience working on software infrastructure or building Cloud native software using Kubernetes. Understanding of systems design and Open Source components. If you have knowledge of building virtual machines - Virtual servers, virtual networking or network programming - that's a plus... but definitely not needed! If this sounds More ❯

and creation of solutions from 0-1, solving ambiguous and complex challenges. Experience working on software infrastructure or building Cloud native software using Kubernetes. Understanding of systems design and Open Source components. If you have knowledge of building virtual machines - Virtual servers, virtual networking or network programming - that's a plus... but definitely not needed! If this sounds More ❯

AI features to life Continuously research and prototype new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles More ❯

AI features to life Continuously research and prototype new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles More ❯

support. Operationalize models with CI/CD pipelines, automated testing, and monitoring, applying MLOps practices such as versioning, retraining, and drift detection (tools: MLflow, Azure ML, Databricks) Leverage both open-source frameworks (LangChain, Hugging Face, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions Implement generative AI and advanced analytics features, including More ❯

you will join an Agile focused team, gaining exposure to: Implementing software solutions including design, development and testing Using a wide range of technologies, specialising in the use of open-source libraries and components Utilising tools to build continuous integration pipelines, which help monitor and ensure software quality and security Deploying software systems to a mixture of environments More ❯

development teams throughout the build and implementation phases. Design and implement robust solutions, coordinating User Acceptance Testing (UAT) with business stakeholders. Develop responsive web applications using GSS, Java, and open-source technologies. Integrate GE Smallworld with external systems via REST APIs using GSS. Data Management Design and manage data update services for external integrations. Oversee data migration activities More ❯

10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with More ❯

both powerful and trustworthy. Responsibilities Design, train, and deploy Generative AI and NLP models for document understanding, summarization, and generation. Work with LLM APIs (e.g., OpenAI, Anthropic, Mistral) and open-source models (e.g., Llama, Falcon, Mixtral) for custom workflows. Build scalable pipelines and services that integrate GenAI into production systems. Fine-tune and evaluate models to balance performance More ❯

systems. Duties of the Transaction Monitoring Analyst to include: Complex Case Investigation: Conduct in-depth investigations into high-risk fraud and money laundering alerts, using advanced analytical techniques and open-source intelligence to build comprehensive case narratives. SAR Preparation: Draft and finalize thorough Suspicious Activity Reports (SARs) for regulatory reporting, collaborating with the MLRO to ensure all filings More ❯