capabilities and contributing to the global automation roadmap. Key Responsibilities Design, develop, and maintain automation workflows and infrastructure-as-code modules using Ansible , Terraform , and scripting languages such as Python and PowerShell . Integrate automation into the organisation's internal developer platform and toolchains, including VMware , Azure , and GitHub workflows. Standardise automation frameworks and templates to ensure reuse and consistent … teams to scope and recommend both tactical fixes and long-term improvements. Required Skills and Experience Extensive hands-on experience with Ansible and Terraform in enterprise environments. Proficiency in Python and PowerShell scripting. Familiarity with Git-based workflows (GitHub or GitLab). Strong understanding of infrastructure components including compute, storage, networking, and virtualisation. Working knowledge of VMware and Azure cloud More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Reed.co.uk
solving. Own the end-to-end delivery of features, ensuring speed, scalability, and quality are never compromised. Architect, develop, and maintain core SaaS platform components across the stack: Backend: Python, PostgreSQL Frontend: TypeScript, NextJS/NodeJS Ensure smooth integration of AI tools, APIs, and data pipelines to enhance platform intelligence. Champion engineering best practices, including testing, CI/CD, and … a Lead Developer. Proven success in leading small, high-performing engineering teams in fast-paced environments. Deep expertise in full-stack development with: TypeScript/JavaScript (NextJS, NodeJS, Tailwind) Python (Django, Flask, or FastAPI) PostgreSQL (design, optimization, maintenance) Experience building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud More ❯
support to engineering platforms and microservices used to develop critical applications leveraged across multiple DoD customers. What You'll Do: Develop infrastructure, task automation, provision managed services, and leverage Python, Ansible, and Terraform programming languages. Install, configure, and provide performance support for Kubernetes, Docker, and cloud metrics collection tools. Manage CI/CD pipelines to automate building, testing, and deploying … Strong Git skills for version control (e.g., merge requests, pull requests, pushes), and a solid understanding of DevSecOps principles and the secure Software Development Lifecycle (SDL). Proficient in Python with a deep understanding of web services. Deploying and managing containerized applications in Kubernetes clusters and custom manifests. Experience with: Configuring and managing Linux operating systems Experience with virtualization platforms More ❯
support to engineering platforms and microservices used to develop critical applications leveraged across multiple DoD customers. What You'll Do: Develop infrastructure, task automation, provision managed services, and leverage Python, Ansible, and Terraform programming languages. Install, configure, and provide performance support for Kubernetes, Docker, and cloud metrics collection tools. Manage CI/CD pipelines to automate building, testing, and deploying … Strong Git skills for version control (e.g., merge requests, pull requests, pushes), and a solid understanding of DevSecOps principles and the secure Software Development Lifecycle (SDL). Proficient in Python with a deep understanding of web services. Deploying and managing containerized applications in Kubernetes clusters and custom manifests. Experience with: Configuring and managing Linux operating systems Experience with virtualization platforms More ❯
integrate data from various sensor modalities including EO/IR cameras, LIDAR, and radar. Develop scalable data pipelines and orchestrate workflows using Apache Airflow and AWS services. Write efficient Python code and shell scripts for deployment and automation tasks. Work in a Linux development environment, emphasizing scripting, debugging, and system-level operations. Collaborate with cross-functional teams including ML engineers … and Experience: Six (6) or more years of experience and a strong background in Machine Learning and Computer Vision, including classical techniques and deep learning-based approaches. Proficiency with Python and Bash scripting. Experience with Apache Airflow and AWS Cloud for data orchestration and workflow automation. Practical experience working with Unmanned Surface Vehicles (USVs), or similar autonomous platforms such as More ❯
performance Value strong version control and CI/CD discipline Appreciate flexibility and autonomy in your development workflow A Day in the Life: Build and maintain data workflows using Python, Java, and Apache NiFi Write Bash/shell scripts to automate Linux-based operations Parse and transform structured/semi-structured data: JSON, XML, CSV, TCLD, ASDF, Parquet Develop messaging … within the last 7 years) 10+ years of SWE experience with a Masters degree, or 12+ with a Bachelor's, or 14+ years of experience Strong development skills in Python and Java Experience with Linux system administration, shell scripting, and command-line tools Hands-on experience with Apache NiFi or other dataflow tools Familiarity with structured/semi-structured data More ❯
including scope and work estimation, architecture and design, coding, and unit testing. Primary Responsibilities: Participate in software programming initiatives to support innovation and enhancement using HTML, CSS, JavaScript, Java, Python, SpringBoot, Hibernate, and Angular. Develop and direct software system validation and testing methods using JUnit and Katalon. Create and integrate custom-developed software solutions to leverage automated deployment technologies. Develop … depth experience in the software development lifecycle, with experience delivering within DevOps toolsets/practices. Experience using software testing performance tools, such as JUnit. Proficiency in scripting languages like Python and Bash. Significant experience working in an Agile development environment. Extensive experience with development in commercial cloud platforms (e.g., AWS, Google Cloud, Azure). Experience with cloud data services (e.g. More ❯
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
DXC Technology
Bring: 10+ years of hands-on experience across VMware, Microsoft, and Linux ecosystems Proven ability to lead technical troubleshooting and platform optimisation Strong scripting and automation skills (PowerShell, Bash, Python) Experience in secure environments and eligibility for UK government DV clearance A proactive mindset with a passion for mentoring and growing technical teams Required Skills & Technologies VMware vSphere, NSX-T … PowerCLI, vRO, Terraform Networking fundamentals Microsoft Azure, SCCM, Intune SQL Server, AD, ADFS Windows Server, Hyper-V Azure AD, Debugging Tools SLA & escalation management Linux RHEL, CentOS, Ubuntu Bash, Python, Ansible Docker, Kubernetes Systemd, YUM/APT CI/CD familiarity Desirable Skills & Growth Potential We know great engineers arent built from checkliststhey grow through curiosity, collaboration, and challenge. If More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka … Skills 10+ years' experience with: Data lifecycle engineering Development and maintenance of extract, transform and load (ETL) tools and services Cloud and on-prem data storage and processing solutions Python, SQL, Spark and other data engineering programming COTS and open source data engineering tools such as ElasticSearch and NiFi Processing data within the Agile Lifecycle Desired Skills (Optional) Experience using More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka … Skills 10+ years' experience with: Data lifecycle engineering Development and maintenance of extract, transform and load (ETL) tools and services Cloud and on-prem data storage and processing solutions Python, SQL, Spark and other data engineering programming COTS and open source data engineering tools such as ElasticSearch and NiFi Processing data within the Agile Lifecycle Desired Skills (Optional) Experience using More ❯
/Unix environments . Any prior knowledge of supporting products and tools including: o Nginx o PostgreSQL o Terraform o Atlassian API o Scripting and automation using bash and Python . Prior experience of administering Atlassian products on varying architectures (AWS, Kubernetes, Atlassian Cloud) . Working alongside other technical and non-technical business functions eg commercial Key Responsibilities: . Atlassian … a DevOps background is a plus. . Atlassian Suite (Jira, Confluence, Crowd, Bitbucket) . Jenkins Cl . Linux . AWS . Git/Github/Gitlab . Bash and Python . SQL/NO-SQL DB's . Nginx All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in More ❯
/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of ML models. Drive the operationalisation … teams on the design, purpose, and behaviour of ML systems. About You – Required Skills & Experience: Proven experience designing and deploying machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured More ❯
/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of ML models. Drive the operationalisation … teams on the design, purpose, and behaviour of ML systems. About You – Required Skills & Experience: Proven experience designing and deploying machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured More ❯
ll work across the full lifecycle-from concept and requirements through design, build, integration, testing, and deployment-within a collaborative, multidisciplinary environment. Key Responsibilities: Develop secure software solutions using Python, C#, Go, and other modern languages. Operate as a cross-functional engineer within an Agile DevSecOps team. Engage with stakeholders to understand and refine technical requirements. Design, code, integrate, test … Participate in lessons learned and best practice sharing across teams. Essential Skills & Experience: Strong experience in secure software development within Agile teams. Proficiency in one or more programming languages: Python, C#, Go. Solid understanding of the systems engineering lifecycle. Experience working on large, complex, and secure systems. Knowledge of APIs and data architecture. Strong grasp of networking fundamentals and the More ❯
quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL) Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven … data science, social sciences, etc.,) 1+ years of experience in data science, data analytics, or a related technical field Prior computer programming experience, preferably in a language such as Python or R Experience with data exploration, data munging, data wrangling, and model development in R or Python Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of More ❯
/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of ML models. Drive the operationalisation … teams on the design, purpose, and behaviour of ML systems. About You – Required Skills & Experience: Proven experience designing and deploying machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured More ❯
/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of ML models. Drive the operationalisation … teams on the design, purpose, and behaviour of ML systems. About You – Required Skills & Experience: Proven experience designing and deploying machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured More ❯
london (city of london), south east england, united kingdom
Miryco Consultants Ltd
/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools. Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of ML models. Drive the operationalisation … teams on the design, purpose, and behaviour of ML systems. About You – Required Skills & Experience: Proven experience designing and deploying machine learning models in production environments. Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC). Familiarity with financial data models, structured More ❯
work closely with various stakeholders to streamline the deployment pipeline and optimize system performance. Position Required Skills Experience with Linux CLI Experience writing scripts using Shell/Bash/Python Linux administration experience including software integration, service management, configuration management, and routine sustainment operations related to provisioning, storage, and networking. Experience installing, configuring, and supporting COTS/GOTS/FOSS … software, libraries, and packages in a Linux environment Extensive software development experience with Java and Python Experience with stream/batch Big Data processing and analytic frameworks Experience with CI/CD principles, methodologies, and tools such as GitLab CI Experience with IaC (Infrastructure as Code) principles and automation infrastructure provisioning and configuration using tools such as Ansible Experience with More ❯
Gloucestershire, England, United Kingdom Hybrid / WFH Options
Computer Futures
ll work across the full lifecycle-from concept and requirements through design, build, integration, testing, and deployment-within a collaborative, multidisciplinary environment. Key Responsibilities: Develop secure software solutions using Python, C#, Go, and other modern languages. Operate as a cross-functional engineer within an Agile DevSecOps team. Engage with stakeholders to understand and refine technical requirements. Design, code, integrate, test … Participate in lessons learned and best practice sharing across teams. Essential Skills & Experience: Strong experience in secure software development within Agile teams. Proficiency in one or more programming languages: Python, C#, Go. Solid understanding of the systems engineering lifecycle. Experience working on large, complex, and secure systems. Knowledge of APIs and data architecture. Strong grasp of networking fundamentals and the More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Jaywing
that drive optimisations across every element of our newly expanded group. Key Responsibilities · Build a Unified Future: Develop, test, and deploy robust and scalable applications using Node.js, PHP, and Python to serve both marketing clients and fintech platforms. · Pioneer with Applied AI: Utilise Python and leading agentic frameworks to design, build, and deploy intelligent automation and optimisation engines for the More ❯
bradford, yorkshire and the humber, united kingdom Hybrid / WFH Options
Jaywing
that drive optimisations across every element of our newly expanded group. Key Responsibilities · Build a Unified Future: Develop, test, and deploy robust and scalable applications using Node.js, PHP, and Python to serve both marketing clients and fintech platforms. · Pioneer with Applied AI: Utilise Python and leading agentic frameworks to design, build, and deploy intelligent automation and optimisation engines for the More ❯
building and maintaining the automated testing frameworks and CI/CD pipelines that enable our team to deliver exceptional software with speed and confidence. Application development in C, C++, Python, and embedded software development for real-time processors. Build Quality Infrastructure: Design, implement, and maintain automated testing frameworks for core software components, including unit, integration, and system-level tests. Architect … experience developing high-performance embedded software. Automation & Scripting Pro: You are proficient with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) and have strong scripting skills (e.g., Bash, Python). Testing Guru: You have hands-on experience with automated testing frameworks. Linux Experience: You are familiar with Linux-based development and deployment environments. Tool Savvy: You have a solid More ❯
level Software Engineer, with a proven track record of delivering successful projects and solutions. Demonstrated expertise in building enterprise-grade software, utilizing at least one of the following languages: Python, Java, Golang or Scala. A strong passion for driving project evolution and innovating new products within a dynamic environment characterized by lightweight agile processes. Proficiency in developing systems capable of … Driven Development (TDD) methodologies. Thorough understanding of the software development lifecycle, from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered More ❯
