Using containers/Docker Atomic or material design Agile/Scrum Sound understanding of coding standards and conventions Documentation Familiarity with OpenAPI Web Accessibility (specifically WAI-ARIA) Familiarity with Python and Go HATEOAS/Hypermedia API Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their More ❯
infrastructure resilience, and operational excellence. WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with strong skills in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn) with solid debugging and analytical capabilities. Demonstrated experience implementing trading algorithms and working on large-scale distributed systems. Familiarity with transactional systems More ❯
work experience in data science, machine learning, and business analytics. Extensive experience with generative AI and machine learning frameworks (GANs, VAEs, transformer-based architectures, LLMs). Programming experience with Python, PySpark, microservices, and data modeling. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling More ❯
working as a Data Scientist, with a track record of delivering models to solve industry-scale problem Experience with experiment design and conducting A/B tests Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci More ❯
learning) - and you know when not to use them Hands-on experience in domains such as procurement planning, pricing, revenue management, routing, and forecasting Strong SQL and programming ability (Python essential; Java/C++ a plus) Excellent communication skills (written and verbal) - you can explain complex ideas in simple terms, and push back on over-complication when needed Passion for More ❯
of the time What We're Looking For: Experience working in technology/software sales, pre-sales or consulting Fluency in one or more programming languages, such as Java, Python, Go or Ruby Ability to understand customers' technical requirements on an architectural level and propose solutions using Aiven's services Experience implementing proof of concepts as needed to work with More ❯
understand reports. Verbally present analysis ideas, progress and results to colleagues. Qualifications Skills & Experience Masters/PhD in maths, science or analytics related discipline Solid programming experience ideally with Python and SQL Experience with data manipulation and validation as well as modelling or statistical techniques Excellent written and verbal communication skills Detail-oriented technical aptitude with strong logical, problem solving More ❯
solving skills with the ability to interpret complex data and investment processes. Proficiency in: SQL - for data validation and exploration. AWS - particularly data services (e.g., S3, Redshift, Lambda). Python - for prototyping analytical tools and performing data analysis. Strong command of business analysis practices, including: Use case and workflow documentation Data mapping and transformation Acceptance criteria and test planning Excellent More ❯
and enhance software solutions. What we're looking for: Bachelor's or Master's degree in Computer Science, Engineering, or related field Proficiency in a modern tech stack (Typescript, Python, etc) with a strong understanding of software development principles in either a backend or full stack environment. Proficiency in mobile technologies like Kotlin, Swift or Hybrid Experience in web & mobile More ❯
plugins Experience in multi-layered IP Network engineering including good experience in network programming/automation, IaC, configuration management tools and data modelling such as RESTCONF, NETCONF/YANG, Python, Shell, Ansible, Saltstack, Terraform, CloudFormation, ARM; with demonstrable experience of DevOps, agile methodologies and CI/CD pipelines Some other highly valued skills include: Knowledge working in Network and infrastructure More ❯
the FT Required Skills and Experience Recent experience working with large datasets to solve complex problems Proven success delivering data science solutions within business environments Proficiency in R or Python Excellent written and verbal communication skills Experience managing and mentoring data scientists Ability to clearly communicate technical ideas through writing, visualisations, or presentations Strong organisational skills with experience in balancing More ❯
models that solve complex, real-world problems Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work More ❯
or engineering or equivalent experience 6 to 7 years of professional experience in a data engineering/analytics role Experience with building and managing KDB based data.analytics Experience with Python/Java/C++ based large scale streaming data analytics and storage solutions Experience with Equities transaction and market data, Transaction Cost Analytics Strong communication skills and the ability to More ❯
date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL Up-to-date understanding of cloud platforms including AWS and/ More ❯
and 3D design, along with a strong understanding of their automation capabilities.Understanding of engineering fields such as civil, structural, environmental, and transport. Automation & Databases :Proficiency in scripting languages (e.g., Python, .NET) to develop custom automation solutions for CAD systems, improving efficiency and accuracy.Basic Knowledge of database design and management. Interoperability expertise :Knowledge of integration techniques and standards for ensuring smooth More ❯
and stakeholder management skills, with a demonstrated ability to influence and lead cross-functional initiatives. Nice to Have: Experience in a cloud environment (e.g., AWS, GCP, Azure).Proficiency in Python for data scripting, orchestration and automation. Experience designing and implementing data models using Medallion Architecture. Background in a fast-paced, high-growth environment (e.g., tech, SaaS, ecommerce) preferably with experience More ❯
Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated More ❯
data-driven decisions to deliver cutting-edge solutions. 7+ years of experience in backend software development with a focus on building scalable and maintainable solutions. Strong programming skills in Python, with a deep understanding of writing clean, efficient, and well-structured code. Experience with web frameworks, including FastAPI and developing RESTful APIs. Proficiency in version control using Git and maintaining … tuning, and Retrieval-Augmented Generation (RAG) pipelines. Experience in developing enterprise-grade applications that leverage data-driven decision-making. Responsibilities Develop, maintain, and optimize backend services and APIs using Python, ensuring high performance and scalability. Design and implement data processing pipelines to handle large volumes of data efficiently. Collaborate with cross-functional teams to understand client needs and translate them More ❯
Skills Experience designing and maintaining CI/CD pipelines (Jenkins, Azure DevOps Pipelines, etc.) Familiarity with containerization using Docker and secure image management Scripting or programming experience in Bash, Python, or TypeScript Strong understanding of GitOps Design and implement infrastructure using Terraform, Terragrunt, Helm, and Kubernetes Build and manage scalable CI/CD pipelines (Jenkins, GitHub Actions) Define and enforce More ❯
Looking For Approximately 5+ years of professional experience in systems, MLOps, and cloud-native engineering. What You'll Be Doing Architect and build scalable APIs using FastAPI (or similar), Python, and modern backend frameworks. Design and maintain infrastructure for ML model serving. Collaborate closely with ML engineers to More ❯
with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
BI/Looker - nice to have) What We're Looking For: 0-3 years of experience in a data engineering or similar role (graduates welcome) Proficiency in SQL and Python Exposure to any of the following: Azure Data Factory GCP BigQuery Snowflake Cloud Functions Strong communication and problem-solving skills Must be eligible for SC (Security Check) clearance (UK residency More ❯
software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in More ❯
software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in More ❯
