301 to 325 of 1,271 Software Engineering Jobs in London

performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. … practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Experience in Java software engineering and object-oriented design Hands-on experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Spring Boot, REST APIs, and microservice architectures Knowledge … status.If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security More ❯

performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. … practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Experience in Java software engineering and object-oriented design Hands-on experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Spring Boot, REST APIs, and microservice architectures Knowledge … If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security More ❯

for an experienced Senior Platform Engineer to join a highly respected technology organisation. Contractors speak positively about the culture here - fast-paced, collaborative, and with real autonomy to influence engineering outcomes. As a Senior Platform Engineer, you'll design and build the internal tools, services, and platforms that power modern software delivery. From shaping CI/CD pipelines … and deployment processes to developing runtime environments and cloud services, your work will directly enable faster, more reliable, and more secure software delivery at scale. This role goes beyond maintenance - as a Senior Platform Engineer, you'll be creating, iterating, and solving genuine engineering challenges. You'll collaborate closely with product and engineering teams across the stack … observability, and troubleshoot complex distributed systems. A focus on clean, maintainable code, cloud infrastructure, and strong security practices is essential. Senior Platform Engineer - Key Skills & Experience: Solid background in software engineering, with significant platform or backend experience Proficiency in Go, Java, or Python for building internal tools and services Strong expertise in AWS, including CloudFront and related web More ❯

You have excellent communication and collaboration skills You are a passionate technologist, keep up to date with the latest innovations and learn new things You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred) You are a bright, proactive individual and a strong problem solver More ❯

You have excellent communication and collaboration skills You are a passionate technologist, keep up to date with the latest innovations and learn new things You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred) You are a bright, proactive individual and a strong problem solver More ❯

You have excellent communication and collaboration skills You are a passionate technologist, keep up to date with the latest innovations and learn new things You have solid knowledge of software engineering principles, Agile practices, CI/CD and ideally have experience within a cloud environment (AWS preferred) You are a bright, proactive individual and a strong problem solver More ❯

IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a More ❯

IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a More ❯

IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a More ❯

IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a More ❯

Job Title: Visual Quality Software Engineer Location: London, United Kingdom Permanent Role, requires hybrid working in London What You’ll Do: Develop and maintain Python-based test frameworks (multithreaded apps, Flask APIs, SQL integration). Build automation into our CI/CD pipelines (GitHub, Jenkins, Docker) to validate new features continuously. Execute large-scale test and benchmarking campaigns, collecting More ❯

Job Title: Visual Quality Software Engineer Location: London, United Kingdom Permanent Role, requires hybrid working in London What You’ll Do: Develop and maintain Python-based test frameworks (multithreaded apps, Flask APIs, SQL integration). Build automation into our CI/CD pipelines (GitHub, Jenkins, Docker) to validate new features continuously. Execute large-scale test and benchmarking campaigns, collecting More ❯

Job Title: Visual Quality Software Engineer Location: London, United Kingdom Permanent Role, requires hybrid working in London What You’ll Do: Develop and maintain Python-based test frameworks (multithreaded apps, Flask APIs, SQL integration). Build automation into our CI/CD pipelines (GitHub, Jenkins, Docker) to validate new features continuously. Execute large-scale test and benchmarking campaigns, collecting More ❯

Job Title: Visual Quality Software Engineer Location: London, United Kingdom Permanent Role, requires hybrid working in London What You’ll Do: Develop and maintain Python-based test frameworks (multithreaded apps, Flask APIs, SQL integration). Build automation into our CI/CD pipelines (GitHub, Jenkins, Docker) to validate new features continuously. Execute large-scale test and benchmarking campaigns, collecting More ❯

Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real … Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering teams to ensure seamless integration … Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real … Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering teams to ensure seamless integration … Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real … Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering teams to ensure seamless integration … Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real … Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering teams to ensure seamless integration … Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

Edge AI, and more. Supporting the delivery of group-wide digital initiatives, including in-house Generative AI solutions . Collaborating with technical teams to promote best practices in modern software engineering (code quality, CI/CD, testing, agile methods). Building reusable playbooks, architectures, and templates to accelerate solution delivery across companies. Partnering with stakeholders to translate business … maintainable. Helping teams adopt modern digital platforms and driving innovation across multiple industries. What we're looking for 5+ years' experience in cloud-native development (preferably Azure). Strong software development experience in C# and/or Python. Knowledge of RESTful APIs, microservices, and event-driven architectures . Skilled with Git-based version control and automated CI/CD … pipelines (Azure DevOps, GitHub Actions, Jenkins). Experience with software testing strategies (unit, integration, automated). Strong understanding of solution architecture principles (scalability, security, performance). Collaborative team player with excellent communication skills. Bonus skills Experience with Generative AI Familiarity with Microsoft Power Platform . Front-end development skills (React, Angular, or Vue.js). Exposure to edge computing, VR More ❯

predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of … the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an … load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust/Java/Kotlin More ❯

engineers and foster a culture of innovation. Stay ahead of industry trends and introduce new tools and techniques. What We’re Looking ForRequired Skills & Experience Proven leadership in ML engineering teams or projects. Expert in Python and ML libraries (scikit-learn, Keras, PyTorch, TensorFlow). Strong grasp of advanced ML techniques and ML Ops practices. Experience with cloud platforms … AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent problem-solving and stakeholder engagement skills. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field. Experience with big data tools (Spark, Hadoop). Familiarity with feature stores, model registries, and experiment tracking. Exposure to business domains like finance, healthcare, or retail analytics. Why Join Us … Lead and shape the ML engineering function in a data-driven organisation. Work in a collaborative and innovative environment. Access continuous learning and professional development. You Might Be the Right Fit If You... Are a hands-on Senior ML Engineer and team leader. Are passionate about high-quality delivery and coaching others. Value sustainable, flexible data platforms and their More ❯

documentation and alignment to standards, policies & strategy across emerging technology, as well as wider Group technology Required Skills and Experience: • Experience with Kafka/Event-driven architecture • Computer science, software engineering or relevant technical background required. • A minimum of 5 years of professional experience in backend development with a track record if producing and maintaining efficient and maintainable More ❯

documentation and alignment to standards, policies & strategy across emerging technology, as well as wider Group technology Required Skills and Experience: • Experience with Kafka/Event-driven architecture • Computer science, software engineering or relevant technical background required. • A minimum of 5 years of professional experience in backend development with a track record if producing and maintaining efficient and maintainable More ❯

documentation and alignment to standards, policies & strategy across emerging technology, as well as wider Group technology Required Skills and Experience: • Experience with Kafka/Event-driven architecture • Computer science, software engineering or relevant technical background required. • A minimum of 5 years of professional experience in backend development with a track record if producing and maintaining efficient and maintainable More ❯

documentation and alignment to standards, policies & strategy across emerging technology, as well as wider Group technology Required Skills and Experience: • Experience with Kafka/Event-driven architecture • Computer science, software engineering or relevant technical background required. • A minimum of 5 years of professional experience in backend development with a track record if producing and maintaining efficient and maintainable More ❯