76 to 100 of 884 Remote Computer Science Jobs

the ability to think critically and creatively. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. What They Offer: Competitive salary and benefits package. Flexible, fully remote working environment. Opportunities for professional development and continuous More ❯

and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming More ❯

and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming More ❯

Salary: .000 € per year Requirements: What you will need to succeed: PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification Hands-on experience with neural network analysis, deep learning … and business leaders to improve AI models, optimize product features, and enhance organizational data capabilities. If you have a passion for solving challenging problems at the intersection of data science, AI, and customer engagement, we'd love to hear from you! In this role, you will: Develop and optimize ETL pipelines, ensuring high-quality, reliable data Design and conduct More ❯

regulation What We’re Looking For: A recently completed Master’s degree from a top-tier university (e.g. Oxbridge, Imperial, UCL, or other leading Russell Group) in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, internships, or personal projects) applying machine learning or AI techniques Strong More ❯

regulation What We’re Looking For: A recently completed Master’s degree from a top-tier university (e.g. Oxbridge, Imperial, UCL, or other leading Russell Group) in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, internships, or personal projects) applying machine learning or AI techniques Strong More ❯

evaluation Document development processes and contribute to knowledge sharing within the team Stay updated with the latest trends in AI ML and Azure technologies Required Qualifications Bachelors degree in Computer Science Data Science Engineering or related field Basic understanding of machine learning concepts and algorithms Familiarity with Python or R for data analysis and model development Exposure More ❯

and monitoring. Good understanding of software development principles including version control (e.g. Git), Agile methodologies, and DevOps practices. Compensation: $100K-125K/annum ACADEMIC CREDENTIALS: Master's degree in Computer Science, Statistics, Data Science, or related field. More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

manage their own time effectively. Enthusiastic about continuous learning and professional development. Confident delivering to groups, both in person and virtually. Ideally degree-educated in a related field (e.g. Computer Science, Data Science, Mathematics), though not essential. What We Offer Alongside the opportunity to make a real impact through teaching and learning, you’ll also have access More ❯

manage their own time effectively. Enthusiastic about continuous learning and professional development. Confident delivering to groups, both in person and virtually. Ideally degree-educated in a related field (e.g. Computer Science, Data Science, Mathematics), though not essential. What We Offer Alongside the opportunity to make a real impact through teaching and learning, you’ll also have access More ❯

enterprise reporting initiatives, benchmarking, and data-driven transformation. Ensure measurable outcomes from all data and analytics programs. What you'll need to be successful Required Qualifications: Degree educated in Computer Science, Data Science, Engineering, or related field; Master's/PhD preferred. 10+ years in data strategy, analytics, or ML/AI leadership roles. Proven experience with More ❯

and deliver the AI product roadmap, from discovery to market launch. Identify, validate, and prioritise opportunities that create quantifiable customer and business value through AI. Collaborate with engineering, data science, and GTM teams to ensure timely, high-impact delivery of AI solutions. Define clear goals and success metrics to drive adoption and prove ROI. Conduct deep qualitative discovery with … scalable AI capabilities across product teams. What You’ll Bring 5+ years of technical product management experience, including at least 3 years leading AI/ML product initiatives (LLMs, computer vision, or Agentic AI preferred). Advanced degree in Computer Science, Data Science, Mathematics, or similar. Deep understanding of the full ML lifecycle and modern data More ❯

in building internal ML capabilities and following engineering best practices. Share your expertise through mentorship, demos, and internal learning sessions. Qualifications 3+ years of experience in ML engineering, data science, or similar roles. A degree in Computer Science, AI, Data Science, or a related technical field. Strong coding skills in Python. Experience with cloud environments (Azure More ❯

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 ❯

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 ❯

years of experience developing and deploying AI/ML or NLP systems, including Generative AI applications . Bachelor’s or Master’s degree in a STEM field (Computer Science, Data Science, Engineering, Mathematics, etc.). Strong proficiency in Python Hands-on experience with LLMs , prompt design , RAG architectures , or fine-tuning foundation models . Understanding of MLOps … first work environment. A collaborative, startup culture with global reach — based in London but working across borders. Flat hierarchies and direct communication. Meaningful work at the intersection of AI, science, and human health . More ❯

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 Engineer to … 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 ❯

governance practices. Present clear, concise, and data-backed recommendations to stakeholders and senior management. Support automation and optimization of reporting processes to improve efficiency. Requirements Bachelors degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data More ❯

Attributes and Skills: Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable More ❯

Attributes and Skills: Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable 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 ❯

in AI and machine learning with the strategic foresight to turn complex data capabilities into tangible business value. Essential skills and experience: • Proven experience (10+ years) in AI, data science, or related disciplines, including leadership of enterprise-scale AI initiatives. • Demonstrable success in creating and executing AI strategies that deliver measurable business results. • In-depth understanding of AI/… with the ability to influence C-suite executives. • Excellent communication and presentation skills, capable of translating technical concepts into strategic insight. • Advanced academic qualifications (e.g. MSc/PhD in Computer Science, Data Science, AI, or related field) preferred. What’s on offer • Executive-level role with significant strategic impact and autonomy. • The opportunity to build and lead More ❯

and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career … development and wellbeing. 💰 Competitive Package – Performance-based bonus, private medical insurance, generous pension scheme, 30 days’ annual leave, and extensive wellbeing benefits. What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time More ❯