76 to 100 of 189 Scala Jobs in London

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. Understanding of More ❯

per week in the office. What You'll Need to Succeed You'll bring 5+ years of data engineering experience, with expert-level skills in Python and/or Scala, SQL, and Apache Spark. You're highly proficient with Databricks and Databricks Asset Bundles, and have a strong understanding of data transformation best practices. Experience with GitHub, DBT, and handling More ❯

to life. We foster a culture of innovation and challenge. Our teams of over 300 tech experts use the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, iOS, Android, .NET Core, Swift, Kotlin, Node.js, and MongoDB. There's something for everyone. We offer opportunities for growth. You'll have the tools and autonomy to develop your More ❯

champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, iOS, Android .Net Core, Swift, Kotlin, Node.js and MongoDB. Theres something for everyone. Were a place of opportunity. Youll have the tools and autonomy to drive your own career More ❯

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 ❯

Ability to articulate the challenges faced in large data transformation and proposing solutions to deliver effective value across the business Some hands-on coding experience with SQL, Python or Scala, data visualisation tools would be advantageous Relevant experience in Data Platform Technologies would be beneficial Previous consulting experience would be a plus, but so would the curiosity and ambition to More ❯

other's backs, acting with purpose while having sustainability and cost in mind through thinking thrift. Bonus points if: You are familiar with any one of the following technologies : Scala, Python Swift ( iOS), React or Typescript. You are familiar with observability, tracking and data pipeline tools and methodologies Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access More ❯

Overview We are looking for a data engineer experienced in DevOps-based pipeline delivery, who can not only develop the pipeline but also establish the foundational framework for reusable data ingestion processes. The ideal candidate is proactive, a self-starter 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 ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Signify Technology Talent matchmaker for Europe's best Scala, Rust and Golang developers Job Title: C++ Software Engineer Job Type: Permanent Salary: Up to ~95k + bonus The company: Signify are partnered with a leading global provider of financial market infrastructure and tradable More ❯

proven ability to inspire, influence and align senior stakeholders across scientific, engineering and business functions. You are highly proficient in programming languages common to data science (e.g. Python, R, Scala) and have experience with large scale data processing (e.g. Spark). A Master's degree or PhD in Computer Science, Machine Learning, Statistics, or related quantitative field is required. At More ❯

of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions More ❯

and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous consultancy or professional services experience. Hands-on experience with additional programming languages like Python, Ruby, Scala, or PHP. Exposure to cloud platforms and infrastructure-as-code within test environmenWhat's in It for You? We reward leadership and initiative with a package that reflects your impact More ❯

of the team Your background: 7+ years experience building and developing backend applications. Senior-level experience with one or more prominent languages such as Java, Python, Kotlin, Go, or Scala is nice to have. Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure). Fluency in any one database technology (e.g. More ❯

contributions to the success of both the team and the organization. Nice to Have: Experience with Docker and Kubernetes. Familiarity with Grafana and other monitoring tools. Prior experience with Scala and Java is an advantage. What we offer You will have the chance to be involved in something impactful, large-scale, and meaningful. Most importantly, you will be part of More ❯

Science, Engineering, or related field 5+ years of professional software development experience Experience designing and delivering highly-available, scalable cloud-based systems Development experience in languages such as Java, Scala, Go, C++, or similar Experience with frontend technologies, especially React, and a solid understanding of general web development practices Experience working with SQL or NoSQL data stores Experience using Docker 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 ❯

teams Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments Strong project management and organisational skills Proficiency in programming languages such as Python, Java, or Scala, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop, Kafka) Accommodation requests If you need More ❯

grade Data/AI platforms. This includes working knowledge of ETL, data governance, streaming architectures, Open Table Formats, etc. - Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.) plus SQL. CI/CD experience and working knowledge of API development. - Ability to lead technical teams and facilitating discussions regarding technical/architectural trade-offs, best practices 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 ❯

least three of: Spark, Hadoop ecosystem, orchestration frameworks, MPP databases, NoSQL, streaming technologies, data catalogs, BI and visualization tools - Proficiency in at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud platforms, and SQL. PREFERRED QUALIFICATIONS - Experience in a lead Data Architect role or similar Masters or PhD in Computer Science, Physics, Engineering or Math. - Hands on 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 ❯

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and More ❯