151 to 175 of 934 Data Structures Jobs

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/… TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/… TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/… TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/… TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

and green assets. The successful candidate will work within the GIS team and in close collaboration with the Leisure team to capture, manage, and maintain leisure site and asset data in digital and spatial formats. The position also involves producing maps, ensuring data quality, and promoting the effective use of GIS across the project. Responsibilities Capture and maintain … grounds maintenance and asset data within the council's spatial database. Develop and manage data structures and schemas to meet project requirements. Produce and publish digital maps to support the Grounds Maintenance Project. Collaborate with the GIS and Leisure teams to ensure data accuracy and integration. Provide technical advice, support, and training on GIS use and … data management. Ensure all spatial data complies with relevant standards and legislation, including GEMINI, INSPIRE, GDPR, and PSMA. Promote data-led decision-making and process improvements across the project. Contribute to the development and documentation of procedures for data capture, updates, and analysis. Requirements Proven experience in the use of GIS systems (ArcGIS, QGIS, or equivalent More ❯

Position: Data & Visualisation Analyst Location: Warwick/Hybrid. 1-2 days per week on site. Duration: 6 Months (with potential for extensions/permanent opportunity) Salary: £42,813 per annum + Additional Benefits! Are you passionate about data, visualisation, and using insights to make real impact? We're offering an exciting opportunity to kickstart or develop your career … in the energy industry with our high-profile client, by joining a collaborative team dedicated to turning data into meaningful information. You'll be working closely with colleagues and customers to design and develop Management Information (MI) and Performance Indicators that guide business experts and process owners in making informed decisions. What you'll be doing: Developing and maintaining … MI dashboards and performance reports using tools such as Tableau, Power BI, and Excel Supporting the business with ad-hoc data analysis and ongoing reporting needs Helping shape the way their data is presented to make it accessible, clear, and actionable Working with a variety of data sources and structures to bring complex insights to life More ❯

and green assets. The successful candidate will work within the GIS team and in close collaboration with the Leisure team to capture, manage, and maintain leisure site and asset data in digital and spatial formats. The position also involves producing maps, ensuring data quality, and promoting the effective use of GIS across the project. Key Responsibilities: · Capture and … maintain grounds maintenance and asset data within the council's spatial database. · Develop and manage data structures and schemas to meet project requirements. · Produce and publish digital maps to support the Grounds Maintenance Project. · Collaborate with the GIS and Leisure teams to ensure data accuracy and integration. · Provide technical advice, support, and training on GIS use … and data management. · Ensure all spatial data complies with relevant standards and legislation, including GEMINI, INSPIRE, GDPR, and PSMA. · Promote data-led decision-making and process improvements across the project. · Contribute to the development and documentation of procedures for data capture, updates, and analysis. Requirements: · Proven experience in the use of GIS systems (ArcGIS, QGIS, or More ❯

are seeking an experienced Technical Business Analyst (Tech BA) to support a strategic initiative focused on the disablement of client records in source systems following migration, ensuring seamless downstream data and process integrity. he role will involve analysing system dependencies, defining business and technical requirements, and working closely with technology and operations teams to mitigate risks and ensure compliance … with data, regulatory, and operational standards. The ideal candidate will bring strong analytical skills, a solid understanding of wealth management or corporate banking environments, and hands-on experience working across data migration, client lifecycle management, and systems decommissioning. Key Responsibilities: Conduct detailed analysis of client disablement processes post-migration from the source system(s). Identify and document … all downstream system dependencies, data flows, and integrations affected by client disablement. Define and validate business rules, triggers, and exception handling for disabling clients and associated data. Collaborate with technology, data, and business stakeholders to ensure downstream systems handle client disablement correctly. Produce detailed process maps, data lineage, and impact assessments. Work with developers, testers, and architects More ❯

into clear, actionable user stories and specifications for the central Salesforce team Participating in development planning and prioritisation, UAT, and release testing to ensure solutions meet business expectations Championing data integrity and consistency across all Salesforce elements Collaborating with sales and operations leadership to ensure reporting and dashboards are accurate, relevant, and provide meaningful actionable intelligence Recommending and implementing … technical and non-technical audiences Excellent communication and presentation skills, with the ability to build strong relationships and collaborate cross-functionally, particularly in sales and operations contexts Exposure to data analysis, reporting, and dashboard creation using Salesforce tools, with the ability to interpret data, identify trends, and make informed recommendations Knowledge of data structures, data More ❯

into clear, actionable user stories and specifications for the central Salesforce team Participating in development planning and prioritisation, UAT, and release testing to ensure solutions meet business expectations Championing data integrity and consistency across all Salesforce elements Collaborating with sales and operations leadership to ensure reporting and dashboards are accurate, relevant, and provide meaningful actionable intelligence Recommending and implementing … technical and non-technical audiences Excellent communication and presentation skills, with the ability to build strong relationships and collaborate cross-functionally, particularly in sales and operations contexts Exposure to data analysis, reporting, and dashboard creation using Salesforce tools, with the ability to interpret data, identify trends, and make informed recommendations Knowledge of data structures, data More ❯

delivering tailored staffing solutions and empowering professionals to achieve their career goals. Important: These roles are strictly for W2 candidates (No C2C or third-party submissions allowed Role: Azure Data Engineer Location: Plymouth , MA Position Type: Contract on W2 Only Experience Required: 10+ Years of Experience Eligible Visas: USC/GC/H4-EAD Responsibilities Perform ETL, ELT operations … and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standard Required Proficiency: Advanced SQL Snowflake Tamr Python GitHub Intermediate Databricks Airflow Skills and Qualifications We are looking for someone who has technical depth and broad tool experience related to data engineering and has the following required qualifications: Minimum bachelor's degree … in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience 5 or more years performing duties related to data engineering Advance English level Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and competent in source code management Build processes supporting More ❯

SaaS solutions, with a focus on financial or billing systems. • Mainframe environment knowledge. Description: The client is seeking an experienced Senior Business Analyst to lead and support a major data migration project. The successful candidate will play a critical role in migrating financial, billing, and tax data and processes from a legacy Cobalt mainframe environment to a modern … solution. This role requires a seasoned professional with strong analytical and problem-solving skills, in-depth experience in public sector projects, and a proven track record of delivering complex data migrations and process transformations. Key Responsibilities: • Data Migration Leadership: Lead and facilitate data migration efforts from a Cobalt mainframe environment to a modern SaaS platform, ensuring accuracy … dependencies, and propose optimized solutions for integration with the new SaaS solution. • Requirements Gathering and Documentation: Work closely with stakeholders to capture and document business and technical requirements, including data mapping, transformation rules, workflows, and reporting needs. • Collaboration with Technical Teams: Collaborate with cross-functional technical teams, including developers, database administrators, data analysts, and SaaS vendors to design More ❯

Data Scientist - Python £700-£750 pd via Umbrella Initially for 6 months with long term potential Global Retail business is looking for a Data Scientist to join their advanced data science team. This is an exciting opportunity to apply cutting-edge machine learning techniques to real-world problems, driving innovation and value across a data-rich … business environment. Key Responsibilities: Design, build, and deploy data science solutions to support business initiatives, with a focus on machine learning and time series forecasting. Collaborate with cross-functional teams to integrate ML models into production systems using modern cloud platforms. Communicate insights and model outputs to stakeholders in a clear, actionable way. Key Skills & Experience: Proven experience working … as a Data Scientist or Machine Learning Engineer in a commercial setting. Strong programming skills in Python, with hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid More ❯

months with extension) Considering making an application for this job Check all the details in this job description, and then click on Apply. My client are seeking an experienced data management professional to lead their Supply Chain and Manufacturing data stewardship initiatives. The successful candidate will be responsible for driving high-quality, well-governed data across procurement … production, logistics, and distribution processes, ensuring that data is accurate, consistent, and AI-ready. This role offers the opportunity to work closely with global and regional business functions, technology teams, and analytics experts to embed data governance, improve data quality, and enable advanced analytics and AI-driven decision-making across the supply chain and manufacturing operations. Key … Responsibilities: Lead the development and execution of a data and AI stewardship strategy for the Supply Chain and Manufacturing domain. Ensure high-quality, well-governed data across procurement, production, logistics, and distribution processes. Establish and maintain standards and ownership for key data objects such as Material, Vendor, Inventory, and Production data. Partner with global and regional business More ❯

emerging technologies to articulate the differentiation of Constructor to prospects will be critical. Our next Solutions Architect is well-versed in enterprise eCommerce and has experience with Cloud technologies, data science and analytics/testing principles, SaaS, solution design, software development methodology, security requirements, SaaS architectures, and enterprise integrations. You are comfortable presenting to prospects and partners to showcase … learning and a self-starter mindset especially when faced with ambiguity. Technical Expertise This role requires a strong technical foundation. Ideal candidates should have prior experience working with APIs, data structures, testing and analytics and software integrations. While hands-on development experience is not required, prior coding experience has been beneficial in the role. Key technical expectations include … development principles and processes Expertise in APIs and integration with them Experience working in retail eCommerce and with various solutions that comprise retailer technology stacks Ability to comprehend complex data structures and prescribe best practices to optimize them Familiarity with data science and statistics principles, A/B testing methodologies and analytics Ability to explain AI and More ❯

common attack vectors, awareness of relevant regulation and restrictions (e.g. PCI, GDPR ) Experience in design and testing strategies to enable gradual evolution of systems over time Good understanding of data storage approaches and tools and trade-offs involved (RBDMSs, key-value stores, column stores, log storage, ) Good understanding of applying cryptography in software development (e.g. TLS, PKI, HMAC, hashing … algorithms, etc.) Good understanding of algorithms and data structures to solve distributed computing problems (e.g. content-based addressing, immutable data structures, CRDTs, consensus protocols, merkle DAGs, etc. It'd be amazing if you can also An understanding of information security including common attack vectors, awareness of relevant regulation and restrictions Experience with running live services with More ❯

experience and skills: Oracle Cloud General Ledger, Asset Management & Subledger Accounting Strong experience in implementing Oracle Cloud Record to Report and Asset Management solutions. Experience with design of enterprise structures and chart of accounts and local reporting Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client … and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme What’s in it for you At Accenture More ❯

experience and skills: Oracle Cloud General Ledger, Asset Management & Subledger Accounting Strong experience in implementing Oracle Cloud Record to Report and Asset Management solutions. Experience with design of enterprise structures and chart of accounts and local reporting Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client … and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme What’s in it for you At Accenture More ❯

experience and skills: Oracle Cloud General Ledger, Asset Management & Subledger Accounting Strong experience in implementing Oracle Cloud Record to Report and Asset Management solutions. Experience with design of enterprise structures and chart of accounts and local reporting Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client … and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme What’s in it for you At Accenture More ❯

experience and skills: Oracle Cloud General Ledger, Asset Management & Subledger Accounting Strong experience in implementing Oracle Cloud Record to Report and Asset Management solutions. Experience with design of enterprise structures and chart of accounts and local reporting Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client … and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme What’s in it for you At Accenture More ❯