51 to 75 of 358 Data Structures Jobs in the UK

Profectus have partnered with a market leading client hiring a Data Analyst . The role will be on a hybrid basis, 2 days on-site in Newbury per week required. You’ll be responsible for leading the strategic analysis and interpretation of complex datasets. Your work will directly inform the development of data products that influence key business … and research outcomes. This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical. You’ll play a vital part in building repeatable, scalable analytical solutions, providing actionable insights, and supporting innovation in a data-first environment. Key Responsibilities: Conduct detailed technical analysis of structured and unstructured data to assess structure, quality, and usability. Translate complex business requirements into robust data solutions and modelling frameworks. Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights. Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle. Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and More ❯

Profectus have partnered with a market leading client hiring a Business Data Analyst . The role will be on a hybrid basis, 2 days on-site in Newbury per week required. You’ll be responsible for leading the strategic analysis and interpretation of complex datasets. Your work will directly inform the development of data products that influence key … business and research outcomes. This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical. You’ll play a vital part in building repeatable, scalable analytical solutions, providing actionable insights, and supporting innovation in a data-first environment. Key Responsibilities: Conduct detailed technical analysis of structured and unstructured … data to assess structure, quality, and usability. Translate complex business requirements into robust data solutions and modelling frameworks. Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights. Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle. Drive Agile ways of working - contributing to backlog refinement, defining outcomes More ❯

Clearance required: SC Cleared IR35 Status: Outside IR35 Start date: 01/12/2025 Pay rate: 400-500/d Front-End Developer We are forming a new Data Team to deliver a unified, user-friendly interface that consolidates dashboards, reports, and analytical outputs from across the organisation. This "single pane of glass" will serve as the central … hub for stakeholders to explore data, monitor performance, and make informed decisions. As the Front-End Developer , you will play a pivotal role in designing and building this interface from the ground up. You'll work closely with Data Analysts, Data Scientists, Engineers, and Business Analysts to understand their outputs and translate them into intuitive, dynamic visual … experiences. Your work will directly influence how data is consumed and acted upon across the organisation. Responsibilities Design and develop a unified front-end interface that integrates dashboards, reports, models, and data pipelines into a single, intuitive view Ensure the interface adheres to accessibility standards (e.g. WCAG 2.2), enabling inclusive access for all users Optimise performance for fast More ❯

Go back Oxford University Hospitals NHS Foundation Trust Senior Software and Data Engineer The closing date is 26 October 2025 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 … 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, investigate a range of highly complex data engineering More ❯

Data Architect Opportunity (Contract) - North West of England We are excited to share an excellent opportunity for a skilled Data Architect to join our client in the Higher Education sector on a contract basis. Our client is seeking someone with expertise in data architecture and governance to contribute to impactful projects that influence their dynamic organisation. This … role is based in the North West of England and offers a competitive daily rate of £500-£600, inside IR35. The Role The Data Architect will work closely within our client's team, leading the design and implementation of data models, integration strategies, and data quality frameworks, particularly in relation to their Salesforce CRM ecosystem. Stakeholder engagement … will also play a vital aspect of this role, ensuring alignment with the organisation's goals and challenges. Key Skills and Expertise Data Architecture & Governance: Proven ability to define and manage robust data structures and frameworks that advance organizational goals. Salesforce Experience: Expertise in working with Salesforce CRM to design and implement scalable, efficient systems. Data More ❯

Data Architect Opportunity (Contract) - North West of England We are excited to share an excellent opportunity for a skilled Data Architect to join our client in the Higher Education sector on a contract basis. Our client is seeking someone with expertise in data architecture and governance to contribute to impactful projects that influence their dynamic organisation. This … role is based in the North West of England and offers a competitive daily rate of £500-£600, inside IR35. The Role The Data Architect will work closely within our client's team, leading the design and implementation of data models, integration strategies, and data quality frameworks, particularly in relation to their Salesforce CRM ecosystem. Stakeholder engagement … will also play a vital aspect of this role, ensuring alignment with the organisation's goals and challenges. Key Skills and Expertise Data Architecture & Governance: Proven ability to define and manage robust data structures and frameworks that advance organizational goals. Salesforce Experience: Expertise in working with Salesforce CRM to design and implement scalable, efficient systems. Data 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 ❯

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 ❯

over 2 weeks, minimum 2 days per week) Location: Central London About the Role and Client A leading law and professional services organisation is looking for a technically proficient Data Analyst to join the IT Department within the Strategy & Architecture Team. This role will have a strong focus on API design and integrations between systems. This role is critical … in enabling data-driven decision-making and ensuring seamless data exchange across internal systems and external platforms. Key Responsibilities Analyse and interpret complex datasets to support IT operations and strategic initiatives. Design, document, and maintain APIs that facilitate secure and efficient integration of data between systems. Create data dictionaries that describe data structures, elements … meanings, and relationships within a dataset or database. Create Business Glossary and describe business terms, and their definitions, ensuring they are consistent across the enterprise. Champion the standardization of data documentation across projects and teams. Document all levels of data-related concepts - models, table, column, business terms. Ensure all documentation covers the full spectrum of data analysis 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 ❯

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 ❯