1000+ Best computer programming Jobs in United Kingdom (May 2025)

Position Title: Dental Nurse Trainee Employment Type: Full-time, Permanent Working Hours: Monday to Friday, 9 am to 5 pm Every other Saturday: 9 am to 1 pm About Our Clinic: We focus on promoting preventive dental care for patients of all ages. Our clinic provides both NHS and private treatments. We are a bustling practice with three surgeries, conveniently located near the Metro system and a 10-minute walk from the City Centre. Our private services include Cosmetic Dental Procedures such as Implants, Invisalign (clear braces), Crowns, Veneers, White Fillings, and Teeth Whitening. We also offer both standard and advanced hygiene treatments, including ProphyJet stain removal. Primary Duties: - Prepare dental treatment rooms and assist the dentist during procedures - Educate patients on maintaining oral health and post-treatment care - Keep accurate patient records and manage scheduling - Perform basic lab tasks and manage dental supplies Candidate Profile: - Passionate about dental healthcare - Proficient in English communication - Ability to follow detailed instructions - Strong interpersonal skills and teamwork ability - Compassionate and capable of providing empathetic patient care - Basic computer skills - Commitment to maintaining high standards of hygiene and infection control - Dedicated to patient confidentiality and privacy - Willing to undertake relevant training and ongoing education in dental nursing - Competent in handling dental instruments and equipment safely - Punctual with a professional demeanor - Eligible to work in the UK, with necessary permits or visas if applicable - No prior experience required; comprehensive training will be provided What We Offer: - Competitive salary - Training and development opportunities - Provided uniforms and protective gear - Health and safety measures - Pension scheme - Employee Assistance Program (EAP) - Basic healthcare coverage - Professional development support - Regular performance reviews

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Online Office Software Tutor - No Experience , Work Anywhere

Embark on a rewarding journey as an Online Computer Science Tutor with FindTutors! We're seeking a dedicated instructor to deliver comprehensive and interactive computer science lessons online. In this role, you'll mentor students, providing them with a solid foundation in programming languages, computational thinking, and problem-solving skills. Join us in fostering a learning environment that encourages curiosity, innovation, and mastery of computer science concepts. REQUIREMENTS: - No prior experience necessary. - Knowledge of the subject being taught. ADVANTAGES : - Flexible schedule - Work from anywhere in the UK - Option to work online - Compensation ranging from £20 to £40 per hour

Summary: Are you passionate about uncovering insights hidden within data? We're looking for a Data Analyst to join our team and play a key role in driving data-driven decisions. You'll be responsible for collecting, processing, and analyzing complex datasets to identify trends, patterns, and opportunities that will help our organization achieve its strategic goals. Your work will directly influence business outcomes by providing actionable intelligence to stakeholders across the company. Responsibilities: Collect data from various sources, including databases, APIs, and other systems. Clean and prepare data for analysis, ensuring accuracy and consistency. Analyze data using statistical methods and tools (e.g., SQL, Excel, Python, R) to identify key trends, patterns, and anomalies. Develop and maintain reports, dashboards, and data visualizations to communicate findings to technical and non-technical audiences. Collaborate with cross-functional teams (e.g., marketing, sales, operations) to understand their data needs and provide analytical support. Identify opportunities to improve data collection, processing, and analysis methodologies. Document data analysis processes and findings to ensure reproducibility and knowledge sharing. Stay up-to-date with the latest trends and technologies in data analysis. Qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL for data extraction and manipulation. Excellent skills in Excel for data analysis and reporting. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. Familiarity with programming languages such as Python or R for statistical analysis is a plus. Solid understanding of statistical concepts and methods. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced environment.

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Findtutors

Teaching Online from Home - Part-Time Position

We are currently seeking a dynamic and innovative private tutor to join our exceptional team of educators in the UK. We are specifically looking for a qualified teacher to become an integral part of our group of professional tutors dedicated to supporting students at every stage of their academic journey. At FindTutors, we present you with the opportunity to join our team of educators and help students who require assistance with their school work. We are actively seeking teachers who are proficient in the following areas: - Languages : English, Spanish, French, Italian, Chinese, Korean... - Science : Maths, Physics, Chemistry, Biology - School : Primary school, Secondary School and University - Extra-curricular activities : Music, guitar, piano… - Computing : Programming, Web design... REQUIREMENTS: - No prior experience necessary. - Knowledge of the subject being taught. ADVANTAGES : - Flexible schedule - Work from anywhere in the UK - Option to work online - Compensation ranging from £20 to £40 per hour.

PhD Research Intern, AI-Powered 2D-to-3D Video Conversion

1 month ago

Full-time

London

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.

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