276 to 300 of 2,296 Computer Science Jobs in the UK excluding London

experience with SQL, Python, R, PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science, Mathematics, Statistics, or related field (Master’s preferred). Why Apply: Work on high-impact projects with leading organisations. Access to cutting-edge technologies More ❯

technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive More ❯

and data integration techniques. Practical experience with deploying AI models on-premise and utilizing open-source frameworks such as Hugging Face and LangChain. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Benefits: 25 days annual leave plus a flexible benefits allowance of £660 per annum. Discretionary performance-based More ❯

reports, or data visualisations to communicate findings to stakeholders Contribute to research into emerging technologies and their practical application in finance. Requirements Undergraduate degree in a technical field (e.g., Computer Science, Data Science, Mathematics, Engineering, Physics, or related) A strong and demonstrable interest in AI/ML and blockchain technologies - especially in their application to real-world More ❯

development. Experience working with ETL tools and database management systems. Familiarity with data integrity and compliance standards relevant to data migration. Required education Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field. More ❯

development. Experience working with ETL tools and database management systems. Familiarity with data integrity and compliance standards relevant to data migration. Required education Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field. More ❯

development. Experience working with ETL tools and database management systems. Familiarity with data integrity and compliance standards relevant to data migration. Required education Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field. More ❯

and data modelling Minimum 2–3 years in data analytics or BI roles Bonus points for Python or R knowledge Education & Certifications: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field Professional certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus What We Offer We believe in rewarding great work. Here More ❯

and data modelling Minimum 2–3 years in data analytics or BI roles Bonus points for Python or R knowledge Education & Certifications: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field Professional certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus What We Offer We believe in rewarding great work. Here More ❯

optimization. Proficiency in analytics platforms like Power BI or Tableau. Understanding of AI governance and ethical deployment practices. Passion for emerging AI technologies and their business applications. Degree in Computer Science, Data Science, or related field. If you have any questions, please contact Jake Norfolk-Lee at Interaction Recruitment. More ❯

optimization. Proficiency in analytics platforms like Power BI or Tableau. Understanding of AI governance and ethical deployment practices. Passion for emerging AI technologies and their business applications. Degree in Computer Science, Data Science, or related field. If you have any questions, please contact Jake Norfolk-Lee at Interaction Recruitment. More ❯

available Location : Cambridge or Slough Travel: Travel between sites would be required Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange … bioinformatic pipelines and data scienc e s oftware supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers. Candidates for this role must have experience in developing and deploying multiple Nextflow … customers . Implement framework s that en sur e standardization , reusability , and cost- and time-efficiency across bioinformatic pipelines and software. Drive digital innovation in biomanufacturing by enhancing data science, bioinformatics and statistical capabilities. Manage collaborations with internal stakeholders and external academic and commercial partners. Lead, mentor and train junior team members. What we're looking for: MSc or More ❯

to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be enhanced through … AI concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be enhanced through … AI concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be enhanced through … AI concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

and work closely with consulting, engineering, and go-to-market teams to embed AI into Dynamics 365 and the Power Platform. Education and Qualifications Bachelors or Masters degree in Computer Science, AI, Data Science, Engineering, or related field, or equivalent practical experience. Experience 10+ years across AI, digital product innovation, or enterprise technology, with significant exposure to More ❯

cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural models for speech … ASR, AI Voice, and AI Quality. We value growth both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal research roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. More ❯

cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural models for speech … ASR, AI Voice, and AI Quality. We value growth both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal research roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. More ❯

cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural models for speech … ASR, AI Voice, and AI Quality. We value growth both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal research roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. More ❯

position new data and AI/ML capabilities, achieving 85% positioning clarity and 40% feature-specific brand association by Q3 2026. Lead Cross-Functional Collaboration : Work with engineering, data science, and field teams to deliver scalable solutions, ensuring data-driven decision-making and operational efficiency. Measure and Iterate : Define and track KPIs (e.g., 90% accuracy in usage pattern identification … to drive product decisions and validate strategies. Communication : Exceptional ability to articulate complex technical concepts to diverse audiences, including executives, customers, and technical teams. Education : Bachelor’s degree in Computer Science, Data Science, Business, or a related field; MBA or advanced degree preferred. Why Join Us? Be a key driver in transforming the TI Platform into a More ❯

position new data and AI/ML capabilities, achieving 85% positioning clarity and 40% feature-specific brand association by Q3 2026. Lead Cross-Functional Collaboration : Work with engineering, data science, and field teams to deliver scalable solutions, ensuring data-driven decision-making and operational efficiency. Measure and Iterate : Define and track KPIs (e.g., 90% accuracy in usage pattern identification … to drive product decisions and validate strategies. Communication : Exceptional ability to articulate complex technical concepts to diverse audiences, including executives, customers, and technical teams. Education : Bachelor’s degree in Computer Science, Data Science, Business, or a related field; MBA or advanced degree preferred. Why Join Us? Be a key driver in transforming the TI Platform into a More ❯

opportunities. Document findings and maintain structured datasets for project tracking. Collaborate with consultants to apply analytics in real-world scenarios. Required Qualifications Currently studying or recently graduated in Data Science, Statistics, Computer Science, or Business Analytics. Proficient in Excel with basic knowledge of SQL or Python. Detail-oriented, analytical, and curious. Strong communication and teamwork skills. Ability More ❯

soil research Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) & Soil Science Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more … sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data … Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Computer Science degree Geospatial experience Engineering career path Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background More ❯

for the long-term quality and security of the Source Code Required skills and experience for the role of Senior Full Stack Systems Developer include: Hold a Degree in Computer Science or Computer Engineering (or a similar, relevant discipline) Extensive experience of working as a Full Stack Developer Excellent working knowledge of full Software System Lifecycle Highly … in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design and Application Optimisation Demonstrable experience of working with Human Computer Interaction (HCI) in Software Systems, including Machine-to-Machine Automation Technologies A particular passion for the environment Desirable skills and experience for the role of Senior Full Stack Systems More ❯

generation AI capabilities that transform how complex, data-rich operations run in the field. This role is ideal for someone who thrives at the intersection of product vision, data science, and real-world impact. You’ll work closely with senior leadership to define and execute an ambitious AI strategy - translating conceptual opportunities into practical, scalable products that drive measurable … Define and deliver the AI product roadmap — identifying and validating opportunities to create customer and business value. Translate strategy into clear, actionable product requirements. Partner with engineering and data science teams to design, build, and launch AI-driven features that deliver tangible results. Collaborate with commercial and customer teams to bring new capabilities to market and ensure adoption and … excellence across large, distributed workforces. What You Bring 5+ years of experience in technical product management. 3+ years leading AI/ML-driven product initiatives, ideally with exposure to computer vision, large language models, or agent-based systems. Strong foundation in computer science, data science, or a related quantitative field. Experience conducting deep discovery with users More ❯