an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯
an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯
an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯
an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯
an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯
Job Summary: GridIron IT is looking for a Data Management Technical Lead to support a large U.S. Department of Justice (DOJ) program. The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace. The Data Management Technical Lead will be responsible for overseeing the implementation … administration, and optimization of our data management environment. This includes managing Azure cloud services, SQL Server databases, Apache Tomcat applications, and leveraging cutting-edge analytics tools like Power BI and Data Bricks. You will provide technical leadership to data engineering teams, optimize data pipelines, and ensure that systems meet performance, reliability, and security standards. This work … onsite in the DC area. Key Responsibilities: • Lead the configuration, deployment, and administration of Azure cloud resources and services, ensuring optimal performance, scalability, and security. • Manage Azure Storage, Azure Data Lake, and Azure SQL Database for data storage and analysis needs. • Oversee Azure Active Directory and other Azure services to manage user access, security, and compliance. • Implement automation More ❯
The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right … data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and … AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics” Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent More ❯
in the industry. Rockstar Games is on the lookout for a passionate Tech Lead, Analytics Engineering with strong software development skills who possesses a passion for both games and big data. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of London. What We Do The Rockstar … support of making judgements while leveraging analytics to measure and improve on the success and health of our games. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. The Analytics Architecture vertical within the Analytics team is tasked to build out high impact data models and internal tooling to support the global Analytics team. We design, build, and maintain the foundational infrastructure of Rockstar’s Player Analytics data platform. Responsibilities Build, spearhead and provide technical mentorship for a team of analytics engineers by sharing technical expertise to support the successful execution of analytics projects. Partner with data scientists and business stakeholders More ❯
You will Head up and take the lead for: Developing enterprise-wide architectural standards - Coding standards (e.g., REST API design principles), security protocols (e.g., OAuth 2.0, encryption standards), and data models (e.g., canonical data models for client data). Frameworks for Technology Reference Architecture outlining approved technologies, patterns (e.g., microservices, event-driven architecture), and integration approaches. Implement … new systems or changes to existing ones. (Confluence or ServiceNow to document and track compliance). Ensure adherence to financial regulations (e.g., FCA/PRA rules, GDPR for client data) and internal policies for customer-facing systems like brokerage platforms. Establish metrics (e.g., system uptime, API response times) to monitor the quality of systems and enforce consistency. CANDIDATE REQUIREMENTS … Ping Identity for SSO and authentication. Platforms: Proprietary or third-party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. BigData: Apache Spark or Hadoop for large-scale processing. More ❯
Cloud Services: Experience with cloud platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar bigdata platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or other stream processing frameworks is a plus. Desired Skills: Asynchronous Programming: Familiarity with asynchronous programming tools like Celery More ❯
seamlessly integrate AI capabilities into daily productivity tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Collaborate with AI researchers, data scientists, and software engineers to translate cutting-edge AI research into practical, user-friendly applications. Establish best … AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Familiarity with containerization (Docker, Kubernetes), RESTful APIs, microservices architecture, and bigdata technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with … productivity for millions of users. Clear path for career advancement as we expand our technical capabilities and market reach. Collaborative and Dynamic Environment: Work alongside world-class AI researchers, data scientists, and software engineers. Regular architecture review sessions and innovation workshops. Encouragement to explore and implement cutting-edge technologies. Electric car salary sacrifice scheme. Market leading compensation. Flexible working More ❯
London, England, United Kingdom Hybrid / WFH Options
Canonical
of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer … Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as … the machinery which turns data into insights and executable models. The people who love this role are software engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are are developers who like to solve customer problems through architecture, presentations and training. Ubuntu is used by pretty much every enterprise in the world, in every More ❯
London, England, United Kingdom Hybrid / WFH Options
Fitch Ratings
is currently seeking a Senior Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯
London, England, United Kingdom Hybrid / WFH Options
Canonical
of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer … Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as … the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It More ❯
organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world-class products. We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, BigData & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® company for More ❯
organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world-class products. We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, BigData & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® company for More ❯
organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world-class products. We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, BigData & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® company for More ❯
Job Type: Contract Job Location: Wimbledon , UK Job Description : For this role, senior experience of Data Engineering and building automated data pipelines on IBM Datastage & DB2, AWS and Databricks from source to operational databases through to curation layer is expected using the latest cloud modern technologies where experience of delivering complex pipelines will be significantly valuable to how … to maintain and deliver world class data pipelines. Knowledge in the following areas essential: Databricks: Expertise in managing and scaling Databricks environments for ETL, data science, and analytics use cases. AWS Cloud: Extensive experience with AWS services such as S3, Glue, Lambda, RDS, and IAM. IBM Skills: DB2, Datastage, Tivoli Workload Scheduler, Urban Code Programming Languages: Proficiency in … Python, SQL. Data Warehousing & ETL: Experience with modern ETL frameworks and data warehousing techniques. DevOps & CI/CD: Familiarity with DevOps practices for data engineering, including infrastructure-as-code (e.g., Terraform, CloudFormation), CI/CD pipelines, and monitoring (e.g., CloudWatch, Datadog). Familiarity with bigdata technologies like Apache Spark, Hadoop, or similar. ETL/ More ❯
Senior Data Engineer/Data Scientist (Azure Databricks) - Global Company Location: Amsterdam Salary: Competitive + Excellent Benefits Contract Type: Full-time, Permanent About Us: Join a world-leading global organization at the forefront of innovation and digital transformation. We are seeking a highly skilled Senior Data Engineer/Data Scientist with expertise in Azure Databricks to … drive our data initiatives and develop scalable solutions that power our analytics and AI-driven insights. Key Responsibilities: Design, develop, and optimize data pipelines and architectures on Azure Databricks . Implement best practices for data engineering, ETL, and data integration across diverse sources. Develop and deploy machine learning models and advanced analytics solutions. Collaborate with cross … functional teams to drive data strategy and governance . Ensure data quality, performance, and security within a cloud-based environment. Support real-time and batch processing use cases. Monitor and troubleshoot Azure Databricks workflows to ensure efficiency and scalability. Stay ahead of industry trends, evaluating new technologies and tools. Key Skills & Experience: Strong expertise in Azure Databricks, PySpark More ❯
Senior Data Engineer/Data Scientist (Azure Databricks) - Global Company Location: Amsterdam Salary: Competitive + Excellent Benefits Contract Type: Full-time, Permanent About Us: Join a world-leading global organization at the forefront of innovation and digital transformation. We are seeking a highly skilled Senior Data Engineer/Data Scientist with expertise in Azure Databricks to … drive our data initiatives and develop scalable solutions that power our analytics and AI-driven insights. Key Responsibilities: Design, develop, and optimize data pipelines and architectures on Azure Databricks . Implement best practices for data engineering, ETL, and data integration across diverse sources. Develop and deploy machine learning models and advanced analytics solutions. Collaborate with cross … functional teams to drive data strategy and governance . Ensure data quality, performance, and security within a cloud-based environment. Support real-time and batch processing use cases. Monitor and troubleshoot Azure Databricks workflows to ensure efficiency and scalability. Stay ahead of industry trends, evaluating new technologies and tools. Key Skills & Experience: Strong expertise in Azure Databricks, PySpark More ❯
Join to apply for the Data Architect (Data & Analytics) role at GE Vernova . Get AI-powered advice on this job and more exclusive features. Job Description Summary GE Vernova is the leading software provider for the operations of national and regional electricity grids worldwide. Our software solutions support electricity markets, enable grid and network planning, and facilitate … real-time electricity grid operations. Data & AI are central to our ongoing digital transformation, shaping the future of grid operation, clean energy initiatives, and AI-driven customer experiences. Job Description As a Data Architect (Data and Analytics) specializing in electric utilities, you will define and implement solutions leveraging the GridOS Data Fabric, the grid data management layer of GE Vernova’s GridOS Platform. You will collaborate with clients to understand their needs, translate them into technical requirements, and design scalable, efficient data architectures. Your role involves working with cross-functional teams to ensure seamless data flow, enhancing decision-making and operational efficiency. Key Responsibilities Solution Design and Architecture: Work with utility clients More ❯
We are currently addressing several critical issues in how we ingest, classify, and extract value from online marketing data, in particular, organic and paid search data (main source is Google related). The aim is to improve the accuracy, usability, and efficiency of the current setup while ensuring the data supports meaningful business decisions. Desired knowledge, experience … competence, skills etc Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and BigData processing Advanced experience working with SQL to build data pipelines. Proficiency in Python. Hands-on experience in Google Cloud platform and DBT … is preferred. Hands-on experience with data modeling for BI & ML for performance and efficiency. Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.) Familiarity with agile ways of working. Experience with web or More ❯
Title : Senior Cloud and Data Solution Architect Work Location: London Experience: 15+Years We at Coforge are hiring Senior Cloud and Data Solution Architect professional with the following skillset: Job Summary: We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground … in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years … of total experience in DWBI, BigData, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in BigData processing services (Apache Spark, Beam or equivalent). More ❯
Title : Senior Cloud and Data Solution Architect Work Location: London Experience: 15+Years We at Coforge are hiring Senior Cloud and Data Solution Architect professional with the following skillset: Job Summary: We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground … in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years … of total experience in DWBI, BigData, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in BigData processing services (Apache Spark, Beam or equivalent). More ❯
Title : Senior Cloud and Data Solution Architect Work Location: London Experience: 15+Years We at Coforge are hiring Senior Cloud and Data Solution Architect professional with the following skillset: Job Summary: We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground … in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years … of total experience in DWBI, BigData, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in BigData processing services (Apache Spark, Beam or equivalent). More ❯
