151 to 175 of 1,039 Computer Science Jobs in the UK

Masters Degree Level education or equivalent, gained in a health delivery related subject Significant experience in the healthcare sector at senior level. Desirable PhD or advanced degree in Data Science, Statistics, Computer Science, or a related field Knowledge and Experience Essential Experience as a Senior Manager within an NHS organisation in a performance, informatics or commissioning setting … presentations Significant experience of delivering complex strategic and operational planning frameworks Demonstrable evidence of managing specialist multi-disciplinary staff as a coherent team Proven experience in a senior data science or advanced analytics leadership role, preferably within healthcare or a related field In-depth knowledge of data science techniques, including machine learning, AI, predictive analytics, and big data … technologies Strong track record of delivering complex data science projects that improve business or clinical outcomes Knowledge of healthcare NHS data systems, electronic health records, data architecture, and NHS data governance regulations Excellent leadership and team management skills with experience in building and leading data science teams Strong interpersonal and communication skills, with the ability to translate complex More ❯

data pipelines using Python and Airflow Data warehousing (Redshift/Spectrum) Develop data solutions to address business needs Maintain existing reports and improve their performance QUALIFICATIONS Bachelors degree in Computer Science, Data Science, Mathematics, Engineering or equivalent experience Experience writing SQL queries and optimising query performance. Strong skills in Python Experience with AWS or GCP Demonstrated experience More ❯

is of the required standard, well-documented, and easy to maintain. Package all code with appropriate unit-testing to ensure future conformity and stability. Actively contribute to developing Data Science activities and proposing new processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, Computer Science or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or More ❯

is of the required standard, well-documented, and easy to maintain. Package all code with appropriate unit-testing to ensure future conformity and stability. Actively contribute to developing Data Science activities and proposing new processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, Computer Science or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or More ❯

if you think you're up for the challenge. About the role We are seeking a technically hands-on Principal Engineer to define and execute our AI and data science strategy. You'll work at the intersection of AI research and product engineering to build intelligent, trustworthy systems that transform how financial institutions meet compliance and regulatory obligations. This … expertise, strategic thinking, and the ability to build and grow a high-performing key area of the business. Key Responsibilities Strategic Leadership Define and lead the AI and data science strategy across Encompass products, aligned with our vision for intelligent KYC automation. Partner with Product, Engineering, and Executive teams to identify opportunities for AI-driven innovation, especially around data … trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as a player-coach-writing code, prototyping models, conducting experiments, and reviewing designs. Establish best practices for data science, MLOps, and model deployment at scale. Guide the selection of AI technologies, platforms, and tooling. Team Building & Mentorship Mentor team members and the broader business, fostering a culture of More ❯

Our people are at the heart of what we do and we'll do our best to agree a working pattern that works for everyone. World changing work From science to technology, from meteorology to management, and from planning to communication, our expertise helps us stand out as the authority on weather accuracy and climate prediction. We help individuals … all multidisciplinary, we turn our hands to multiple tasks to help deliver on the Met Office's and Team' objectives. We get involved in conversations spanning Technology, Product and Science to support our colleagues - we aim to be the first port of call for people who want to make the move from small-scale experimentation to large-scale data … your university studies. However, this is not guaranteed and would be subject to programme availability and a successful application. Essential Criteria, skills and experience: Studying towards a degree in Computer Science, Data Science, Data Engineering, or a related field which MUST incorporate a placement year (i.e. sandwich course). Demonstrable experience with programming languages such as Python More ❯

foster a culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with More ❯

foster a culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with 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 ❯

making. You will have a strong understanding of data integration and be confident working with integrated software systems. Ideally but not necessary, you will also hold a degree in Computer Science, Data Science, Information Systems, or a related discipline. Experience of delivering Power BI reporting solutions within a further education (FE) environment would be a distinct advantage. More ❯

to make it better Strong analytical and problem-solving abilities with a keen attention to detail. Preferred skills and qualifications of the Data Analyst Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions More ❯

impact by publishing and presenting research findings, supporting translation into practice through collaborations, providing training and helping to secure research funding About you: PhD or equivalent industrial experience in Computer Science, Data Science, Biomedical Engineering, Applied Mathematics, or a closely related discipline with a focus on machine learning or data-driven modelling Proven expertise in developing, training 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 ❯

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 ❯

to detail and good team-work skills. Graduate Software Engineers will have some of the following qualifications experience; M.Phil, MSc, MPhys, MRes, MA, BA, BSc in Software Engineering or Computer Science, or Electronic Engineering or physical sciences Knowledge of C, C++, Python, C#, Java, SQL- Full stack development Programming on Cross Platforms- Windows-Linux Embedded software/Firmware … skills and experiences are advantageous, but not essential: Experience in Linux, python and C++ Knowledge of electronics and physical interactions with software FPGA/VHDL-Verilog Signal processing, data science or AI knowledge Experience working alongside hardware engineers Data Science/Data Processing Computer Vision/AI Quantum Computing As part of the Software and Electronics team More ❯

to detail and good team-work skills. Graduate Software Engineers will have some of the following qualifications experience; M.Phil, MSc, MPhys, MRes, MA, BA, BSc in Software Engineering or Computer Science, or Electronic Engineering or physical sciences Knowledge of C, C++, Python, C#, Java, SQL- Full stack development Programming on Cross Platforms- Windows-Linux Embedded software/Firmware … skills and experiences are advantageous, but not essential: Experience in Linux, python and C++ Knowledge of electronics and physical interactions with software FPGA/VHDL-Verilog Signal processing, data science or AI knowledge Experience working alongside hardware engineers Data Science/Data Processing Computer Vision/AI Quantum Computing As part of the Software and Electronics team More ❯

our Cloud Infrastructure using tools such as Terraform Working closely with development teams working on the ML Software Stack (SDK) Candidate Profile Essential: Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux More ❯

and security of the Source Code Required skills and experience for the role of Senior Full Stack Systems Developer include: A Degree (or higher qualification) in Software Engineering, Data Science, or Computer Science (or a similar, relevant discipline) Extensive experience of working as a Full Stack Developer Demonstrable working knowledge of the Full Software System Lifecycle, including … 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 Highly-proficient in Software System Design, Development, Testing, and Deployment Strategies for High Availability Desirable skills and experience More ❯

SAP, Odoo, NetSuite) and RPA or digital twin technologies. Proficiency in Power BI or Tableau for analytics and reporting. Understanding of AI governance and data ethics. Formal qualification in Computer Science, Data Science, or a related field. What Youll Achieve In your first 1224 months, youll: Deliver 23 high-impact AI projects with measurable ROI. Improve operational More ❯

trusted expert and a strategic thinker who can translate complex technical concepts into business value. You'll need: A strong foundation in AI/ML technologies including GenAI, NLP, computer vision and automation, with hands-on experience in platforms like Palantir, Agentforce, Copilot and Azure Data Intelligence Proven experience designing and implementing AI solutions across multiple domains, ideally within … regulated environments Excellent communication and stakeholder engagement skills, with the ability to lead cross-functional teams and manage technical talent A Bachelor's or Master's degree in Computer Science, Engineering, Data Science or a related field, plus relevant certifications in AI/ML tools You. Unlimited. We believe in creating the greatest good for society. Our More ❯

innovation, directly impacting how Expedia Group partners with large advertising platforms such as Google, Apple, and Meta. In this role, you will: Lead cross functional delivery with engineering, data science, analytics, and business stakeholders to design and ship scalable measurement and automation services. Enable generative AI innovation across marketing for content generation and ad creatives. Collaborate on architectural standards … a data driven, innovative, and inclusive team culture. Implement AI powered solutions, facilitating technical feasibility discussions and guiding architecture design. Experience and qualifications: Bachelor's or Master's in Computer Science, Engineering, Data Science, or a related technical field (or equivalent professional experience) 10+ years of product management experience leading data, marketing platform, and AI/ML More ❯

and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine leading AI innovation with genuine autonomy and working More ❯

and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine leading AI innovation with genuine autonomy and working More ❯

ownership of master data management platform and data stewardship Manage day to day operations for data, analytics, AI and platforms Analytics Enablement & Platform Adoption Partner with analytics and data science teams to enable the delivery of enterprise dashboards, predictive models, and AI driven insights Drive global rollout and adoption of platforms; define KPIs and success metrics to measure performance … act as a trusted advisor and data evangelist Communicate business impact and outcomes effectively to executive leadership What you have to offer: Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field 12+ years of experience in hands on data platform management, with at least 5 years in pharmaceutical commercial … the story At BioNTech, we are more than just a biotechnology company - we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting edge science into survival. Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases. More ❯