126 to 150 of 885 Permanent Data Structures Jobs

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and … play a pivotal role in developing the future of data across the business. This is a hands on, high impact position suited to someone ready to lead technical direction, mentor others, and help shape a modern, data driven culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the … business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance across all systems. Partner with IT, operations, and commercial teams to drive adoption of data-driven More ❯

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and … play a pivotal role in developing the future of data across the business. This is a hands on, high impact position suited to someone ready to lead technical direction, mentor others, and help shape a modern, data driven culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the … business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance across all systems. Partner with IT, operations, and commercial teams to drive adoption of data-driven More ❯

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and … play a pivotal role in developing the future of data across the business. This is a hands on, high impact position suited to someone ready to lead technical direction, mentor others, and help shape a modern, data driven culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the … business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance across all systems. Partner with IT, operations, and commercial teams to drive adoption of data-driven More ❯

Job overview We are seeking experienced individuals with talent, expertise, and ambition in software and data engineering. We can offer the opportunity to work on innovative solutions that will transform scientific research and healthcare delivery in the NHS. The successful candidates will work as part of the Thames Valley and Surrey (TVS) Secure Data Environment (SDE) Programme hosted … by Oxford University Hospitals NHS Foundation Trust (OUH). They will design and implement solutions to support data acquisition, integration, and analysis. The tools and services that they deliver will have a significant impact. Working with healthcare professionals and leading researchers, they will have the satisfaction of seeing their software in use: supporting cutting edge research and improving patient … care. Main duties of the job The successful candidate will provide expert leadership and technical knowledge on the delivery of software and data services across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation. They will investigate highly complex data engineering issues, be responsible for strategic planning and delivery More ❯

Its commercial model includes intellectual property licencing, creative consultancy, and bespoke campaigns designed to captivate audiences and elevate brand presence. Your new role This permanent role focusses on translating data into actionable business strategies, working closely with both technical and commercial teams. You will collate and analyse data and make recommendations across the business to enable strong business … impact. You will be a key player in the global business planning process. Your responsibilities will include (but not be limited to): Champion smarter decisions by building seamless data systems that turn numbers into clear business stories. Decode trends across products, pricing, and markets to fuel strategic conversations. Keep the pulse of the business alive with evolving dashboards and … insights that matter. Collaborate across teams to reshape how data flows and informs action. Explore predictive models and machine learning to unlock what's next. Deliver sharp insights that help teams make smarter, customer-first decisions. Harness a powerful tech stack - from Salesforce Media Cloud to NetSuite and beyond - to decode data and drive clarity. Elevate reporting with More ❯

AWS Data Engineer (Must hold current SC) Location: Ad-hoc travel to London for the first 3 months then fully remote Sector: Central Government Project Type: Salary based 12 month FTC The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional … role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. We are seeking a skilled AWS Data Engineer to join our data engineering team and help build scalable, secure, and efficient data pipelines. The ideal candidate will have strong experience with AWS services, Python … SQL, GitLab , and API integrations . A basic understanding of Power BI is desirable to assist in developing proof-of-concept dashboards that demonstrate end-to-end data flows. Key Responsibilities: Design, build, and maintain data ingestion and transformation pipelines using AWS services (e.g., S3, Glue, Lambda, Athena, Redshift, Step Functions). Develop Python scripts and ETL processes 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 … and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep 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 … and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep 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 … and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep 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 … and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep 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 ❯

DBA) Location: Leicester | Hybrid Working Available Type: Permanent Salary: £45 - 52k + Benefits Overview A forward-thinking organisation is looking for a skilled SQL Database Administrator to join its Data Services team. This is a hands-on role focused on maintaining, securing, and optimising both on-premise and cloud-based data environments. You'll be working with a … modern tech stack, contributing to transformation projects, and helping shape the future of data infrastructure. The Role You'll be responsible for the day-to-day management of SQL Server and Azure-based data systems, supporting ETL processes, and driving improvements across data platforms. This is a great opportunity for someone who enjoys solving problems, improving systems … and working collaboratively across teams. Key Responsibilities Maintain and manage SQL Server and Azure data environments Ensure data system security, patching, and performance tuning Support ETL services and data operations Analyse and remediate legacy data structures Contribute to transformation and change initiatives Identify opportunities to improve data processes and suggest solutions Produce high-quality 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 … 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 ❯

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 ❯