MLlib for machine learning tasks Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering) Experience with distributed systems like Hadoop for data storage and processing Proficiency in Python, Scala, or Java for ML development Familiarity with data preprocessing techniques and feature engineering Knowledge of model evaluation metrics and techniques Experience with deploying ML models in production environments Permanent or More ❯
and learning-to-rank, and stay current with emerging techniques. You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions. You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch ), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker). Accommodation requests If you need assistance with any More ❯
Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python More ❯
leader with deep experience and a hands-on approach. You bring: A track record of scaling and leading data engineering initiatives Excellent coding skills (e.g. Python, Java, Spark, PySpark, Scala) Strong AWS expertise and cloud-based data processing Advanced SQL/database skills Delivery management and mentoring abilities Highly Desirable: Familiarity with tools like AWS Glue, Azure Data Factory, Databricks More ❯
long-term customer success. Skilled in identifying and prioritising key use cases, resource allocations, and investment focus. Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s). Know how to provide technical solutions for More ❯
statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc) experience with the systems development lifecycle hands-on coding experience with advanced Python (R and Scala will be considered as well) experience with SQL and NoSQL databases (eg, MSSQL, CosmosDB, Cassandra) familiarity with testing techniques used to plan and execute tests of all components (functional and More ❯
trading systems, ensuring reliability, performance, and alignment with business needs. WHAT YOU'LL BRING: 8+ years of software engineering experience, with strong proficiency in Java or similar languages (Golang, Scala, etc.). Proven track record building large-scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g. More ❯
why our consideration is not limited by the level of education you have. • You are proficient in one or more of the following programming languages: C#, Python, SQL, or Scala (and willing to learn those you do not know). • You have a solid understanding cloud computing. • You have additional nice-to-have experience in the following areas: database engines More ❯
why our consideration is not limited by the level of education you have. You are proficient in one or more of the following programming languages: C#, Python, SQL, or Scala (and willing to learn those you do not know). You have a solid understanding cloud computing. You have additional nice-to-have experience in the following areas: database engines More ❯
architecture , end-users, data product owners, and enablement teams, to promote these through regular knowledge sharing sessions. Accountable for operational efficiency - drive improvements in efficien cy , reliab ility , and scala bility supported by logging , monitoring and observability as a foundational capability. Responsible for adoption - promote the platform capabilities through technical communities of practice leadership, high internal standards for documented processes More ❯
on expertise in modern data engineering practices, cloud data platform and full data lifecycle. - Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure). - A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry. More ❯
on expertise in modern data engineering practices, cloud data platform and full data lifecycle. - Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure). - A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry. More ❯
on expertise in modern data engineering practices, cloud data platform and full data lifecycle. - Strong programming skills would be ideal for this position, languages such as Python, Java or Scala with Data pipeline frameworks and cloud infrastructure (AWS or Azure). - A proven track record of delivering innovative, data driven products from concept to production, ideally in a regulated industry. More ❯
complex data landscapes. Agile/Scrum delivery experience. Ideally, involvement in a modern data platform rollout (Fabric/Azure). Strong technical skills in Azure Synapse, Python, Java, or Scala, with deep knowledge of ETL and data architecture. Apply now to lead a skilled team, modernise data capabilities and shape our client’s digital future. More ❯
machine learning, theory, and practice You are comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your More ❯
Experienced in building and running a large platform at scale Strong distributed systems skills and knowledge Strong system architecture skills Knowledge of other modern, functional languages (e.g. Haskell, Clojure, Scala) Solid understanding of REST-ful design Experience with containers and Kubernetes Development experience of at least one public cloud provider If you are actively coding, have a passion for Generative More ❯
while growing the ability to work effectively across both. Experience with processing large-scale transactional and financial data, using batch/streaming frameworks like Spark, Flink, or Beam (with Scala for data engineering), and building scalable backend systems in Java. You possess a foundational understanding of system design, data structures, and algorithms, coupled with a strong desire to learn quickly More ❯
would be great if you have: Built search related products e.g. chatbots Exposure to building data products that use generative AI and LLMs Previous experience using Spark (either via Scala or Pyspark) Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome All your information will More ❯
of professional software development experience), or Master's Degree (2+ years post-degree experience) Hands-on experience in software development using Java or similar object-oriented programming languages, or Scala or Kotlin or similar functional languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems More ❯
A sound understanding of data transformation and cleaning. Experience working with Power BI for Dashboard creation. Experience working with Snowflake. Demonstratable programming experience using any language such as Python, Scala or R. Experience in one of the cloud technologies preferably Microsoft Azure services. The interview process - update per role requirements Our interview process involves the below: Online assessment. 1st stage More ❯
addition you will have: Experience with defining data strategy, data migration approach, data integration approach Experience being a hands on data architect (only when needed with programme languages Java, Scala and Python) Experience with Big Data technologies Experience with AWS and services Experience with both open source and vendor data platforms. Experience with data architecture, architectural concepts, methodologies and approaches. More ❯
Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger More ❯
Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger More ❯
trading globally. Responsibilities Responsibilities of the team include engineering and development, with a strong understanding of computer systems and how they operate. Requirements Hands-on experience in Java, Spark, Scala (or Java). Production-scale experience in writing data pipelines using Spark or other distributed real-time/batch technologies. #J-18808-Ljbffr More ❯
Some popular frameworks and libraries include TensorFlow, PyTorch, and Scikit-learn. Programming Skills Strong programming skills are essential for AI development. Proficiency in languages such as Python, Java, or Scala is highly valuable in this field. Experience with Cloud-Based AI Services Experience with cloud-based AI services and platforms is important for leveraging the power of AI in the More ❯
