Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 7+ years of software development experience, and proficiency in Java, Python, or similar language and related service frameworks like Spring Boot or Django. Experience in relational databases like MySQL or Postgres and NoSQL databases like DynamoDB or MongoDB. Excellent problem solving More ❯
IT service management (ITSM) frameworks like ITIL Experience with DevOps tools and deployment patterns Strong understanding of High Availability and Multi Region Architectures Proven scripting experience in languages like Python, Go, etc Deep understanding of Agile methodology Leadership Skills: Previous leadership experience in managing and leading cross-functional teams. Demonstrated ability to analyze complex business requirements and translate them into More ❯
Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or similar technical field/experience Hands-on data science expertise with code-based model development e.g. R, Python Strong knowledge of deploying end-to-end machine learning models in Databricks utilizing Pyspark, MLflow and workflows Strong knowledge of data platforms and tools, including Hadoop, Spark, SQL, and NoSQL More ❯
Ability to work effectively in large, collaborative teams to achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. Foundational knowledge of programming languages (e.g., React, Python, JavaScript, Java, C++, C#), databases, data structures and algorithms Understanding of software skills including business analysis, development, maintenance, and software improvement. Proficiency in developmental toolsets Basic knowledge of industry-wide More ❯
development teams. Required qualifications to be successful in this role: • Experience of building, leading and mentoring development teams. • Comprehensive experience of developing using modern development languages (e.g. Java, Go, Python etc) with code written to a common standard. • Experience of public cloud technologies (either AWS, GCP, Azure) and principles, in particular Infrastructure as Code. • Ability to translate user requirements into More ❯
machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting datasets More ❯
with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). Experience with Apache Spark or any other distributed data programming frameworks. Comfortable writing efficient More ❯
in a related field such as Computer Science, Computer Engineering, or other software/design discipline. OUR TECH STACK Backend: PHP 8.2/Symfony 7, REST, API Platform, NodeJS, Python, Rust. Frontend: TypeScript, Angular 19. Mobile: Android (Kotlin), iOS (Swift). Desktop: Cross platform desktop app built with Electron (TypeScript). Database: MySQL (Aurora DB), Redis (ElastiCache), MongoDB (AWS DocumentDB More ❯
Demands: Stay agile and innovative as technology and client needs shift. Role Requirements Technical Skills Substantial experience in data engineering, analytics engineering, or similar roles. Hands-on expertise with Python (Numpy/Pandas) and SQL. Proven experience designing and building robust ETL/ELT pipelines (dbt, Airflow). Strong knowledge of data pipelining, schema design, and cloud platforms (e.g., Snowflake More ❯
Helping in the support of legacy platform migrations and adoption, like move to GitLab-CI and transition to Kubernetes (K8S) platform Strong experience with scripting and automation practices like Python (or other language), Bash/Shell, YAML including any Development frameworks Extensive experience and in-depth knowledge of the Linux operating system for effective troubleshooting activities Experience with Observability tools More ❯
containers. Strong understanding of MLOps. Experience with ML batch training and inference. Experience with ML Experiment tracking. Experience with ML Serving. Experience with High Performance Computing. Experience developing in Python or another commonly used scripting language. Robust experience in AI model development across the full model lifecycle and with multiple mediums (natural language, computer vision, sequences, etc.). Proven track More ❯
curious, passionate, authentic and accountable. These are ourvalues and influence everything we do. Preferred Qualifications Experience with containers, container based applications, and/or container orchestration tools Experience with Python, Ansible, or Kubernetes Scripting experience (bash, PowerShell, etc.) Installing and using SAS software and solutions Programming in SAS Deploying and managing JavaEE web application. Java or Web development experience Ability More ❯
practice. Good experience in agile delivery and ceremonies e.g. sprint planning, daily scrum, retrospectives. Good Knowledge of DevOps toolchain e.g. Jira, Bitbucket, Bamboo, Artefactory. Knowledge of C#/.NET, Python, Javascript and other programming languages is beneficial. Knowledge of containerisation, Docker and Kubernetes for PaaS workloads is beneficial. Knowledge of Redhat OpenShift is beneficial. Skills set and Core Competencies Required More ❯
Isleworth, Middlesex, United Kingdom Hybrid / WFH Options
Sky UK
cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future. Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions More ❯
solid expertise, is required. Recent work experience in a healthcare/life science organization is considered an asset. Other skills we are searching for are: Programming Skills: Proficiency in Python, data analytics, deep learning (Scikit-learn, Pandas, PyTorch, Jupyter, pipelines), and practical knowledge of data tools like Databricks, Ray, Vector Databases, Kubernetes, and workflow scheduling tools such as Apache Airflow More ❯
teams are split across the two, so you must be comfortable working as part of a distributed team. Our tech stack includes Kubernetes on GCP, AWS and Azure, Go, Python, Bash and GitHub Actions. Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are More ❯
of disciplines, which allows us to come up with cutting edge, high quality solutions. What background we are looking for: Programming in one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Utilising CI/CD tools, such as More ❯
deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding More ❯
matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in Infrastructure as Code technologies (eg CloudFormation, CDK, Terraform) Source controlling your code with Version Control Systems, for example More ❯
ac approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Fluent in either R or Python for data science; competence in both is desirable Fluent in SQL (any flavour) for analysis; DBA experience is beneficial Experienced in applying a broad range of data science techniques, including More ❯
boundaries. You thrive in a fast-paced, ambiguous, and high-stakes environment. You are a smart, curious, and analytical person with a bias for action. What Technologies We Use: Python, dbtLabs, SQL, GitHub Actions (CI/CD) Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow) With ecobee, you'll have the opportunity to: Be part of something big: Get to More ❯
skills with a knack for identifying automation opportunities and designing efficient solutions. Strong analytical and critical thinking skills to assess process efficiency and effectiveness. Technical Expertise: Advanced proficiency in Python with minimum demonstrable programming experience including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge More ❯
of AI/ML model metrics (e.g., F1 and AI-contents evaluation metrics) including human-in-the-loop (HITL) AI/ML monitoring. Programming experience (R/SQL/Python) analyzing data sets and making decisions based on data, as well as experience with prompt engineering techniques to improve solution accuracy. Preferred Qualifications Please note the following skills are not More ❯
with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization• Excellent More ❯
