26 to 50 of 149 Data Structures Jobs in the South East

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 … 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 ❯

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 ❯

Senior Data Analyst - SQL & Python Location: West Berkshire - Hybrid working 2 days in the office Reference: J12993 Salary : Neg up to £60,000 DOE Note: Full and current UK working rights required for this role Join a supportive, collaborative team where your inquisitive nature is valued and encouraged. We’re working with a valued and respected client who is … looking to grow their analytical team. 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. … About the Role Key Responsibilities Skills 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 supporting More ❯

Senior Data Analyst - SQL & Python Location: West Berkshire - Hybrid working 2 days in the office Reference: J12993 Salary : Neg up to £60,000 DOE Note: Full and current UK working rights required for this role Join a supportive, collaborative team where your inquisitive nature is valued and encouraged. We’re working with a valued and respected client who is … looking to grow their analytical team. 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. … About the Role Key Responsibilities Skills 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 supporting 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 ❯

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 ❯

Overview: We are seeking a technically proficient Data Analyst to join our IT Department. This role will focus on API design and systems integrations , playing a vital part in enabling data-driven decision-making and ensuring seamless data exchange across internal and external platforms. Key Responsibilities: Design, document, and maintain APIs to facilitate secure and efficient data integration between systems. Analyse and interpret complex datasets to support IT operations and strategic initiatives. Create and maintain data dictionaries , business glossaries , and detailed documentation of data structures and relationships. Define and document data lineage and transformations to ensure transparency and consistency. Collaborate with developers, architects, and business analysts to define integration and reporting requirements. … Contribute to the development of dashboards and reporting tools using Power BI, Azure Foundry, and Fabric . Ensure data quality, compliance, and governance across all integrations. Support automation efforts by embedding APIs into existing workflows. Work closely with vendors to design solutions aligned with architectural standards and best practices. Key Skills & Experience: Proven experience in a Data Analyst More ❯

Data & AI Solutions Lead We’re working with a forward-thinking organisation at the forefront of digital transformation. They are seeking a Data & AI Solutions Lead to drive innovation across Power BI, CoPilot and AI-driven reporting initiatives. This is a newly created role designed for someone passionate about turning data into actionable insight and enabling smarter … faster business decisions through intelligent automation. The Opportunity As the Data & AI Solutions Lead, you’ll take ownership of the organisation’s data reporting ecosystem – defining and implementing semantic data models, Power BI solutions and CoPilot integration. You’ll act as the go-to expert for business-wide data reporting needs, ensuring consistent governance, high-quality … of AI-enabled tools to optimise performance.Working collaboratively with both internal teams and third-party partners, you’ll lead projects that deliver measurable business value through innovation, automation and data-driven strategy. Key Responsibilities Define, develop and maintain semantic data models to support Power BI reporting and CoPilot for Power BI insights. Ensure all models are well-governed More ❯

Job summary 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 theThames Valley and Surrey (TVS) Secure Data Environment (SDE) Programme hosted by … edgeresearchandimproving patient care. Main duties of the job The successful candidate willprovide expertleadershipand technical knowledgeon the deliveryof software and dataservices 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 issues, be responsible for strategic planningand deliveryacross a range of specialised areas … for further information. For an informal discussion about this role, please contact Kinga Vrnai, Special Projects Lead (kinga.varnai@ouh.nhs.uk). Person Specification Qualifications Essential Expert knowledge of software and data engineering acquired through a combination of specialist training and relevant study (eg computer science, software engineering, mathematics) to Master's degree or equivalent level Extensive experience within a complex More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY 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 More ❯