101 to 125 of 965 Computer Science Jobs in London

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 ❯

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 ❯

shape our culture and guide our decision-making. We are committed to: Excellence Responsibility Empowerment Connectivity Courage Role Overview We are seeking a seasoned and visionary Lead, AI & Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded, you will define and guide our … and the ability to review, advise, and step in when critical decisions or mentorship are needed. You will play a pivotal role in building and scaling the AI & Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms. Key Responsibilities Strategic & Technical Leadership Define and lead the AI & Data Science … aligned with business priorities. Provide technical oversight for AI initiatives across domains: Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems). Predictive Analytics & Time-Series Modeling . Computer Vision & Multimodal AI . Reinforcement Learning & Optimization . Knowledge Engineering & Semantic Search . Edge AI & Real-Time AI Deployments . Act as the architect and reviewer of AI systems More ❯

on deploying LLMs and clinical AI tools. High ownership : Influence architecture, deployment strategy, and product direction. Collaborative culture : Work closely with clinicians, scientists, and product teams. Requirements: Degree in Computer Science, Data Science, Engineering, or related field. 3+ years of backend software engineering experience. Proficient in Python and/or JavaScript (Node.js). Experience with CI/ More ❯

on deploying LLMs and clinical AI tools. High ownership : Influence architecture, deployment strategy, and product direction. Collaborative culture : Work closely with clinicians, scientists, and product teams. Requirements: Degree in Computer Science, Data Science, Engineering, or related field. 3+ years of backend software engineering experience. Proficient in Python and/or JavaScript (Node.js). Experience with CI/ 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

cloud deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, Data Science, or related fields. Experience with LangChain, CrewAI, Autogen, MLOps, CI/CD, and enterprise systems like SAP, Oracle, or Salesforce. How You'll More ❯

of the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge More ❯

of the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge More ❯

AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯

portfolio. Mentor and collaborate with technical teams, fostering a culture of excellence and learning. What We’re Looking For Minimum 3–8 years’ experience in AI/ML, data science, or AI product management, ideally in technology or high-growth environments. Strong technical background with a STEM degree (Computer Science, Engineering, Data Science, or related discipline More ❯

portfolio. Mentor and collaborate with technical teams, fostering a culture of excellence and learning. What We’re Looking For Minimum 3–8 years’ experience in AI/ML, data science, or AI product management, ideally in technology or high-growth environments. Strong technical background with a STEM degree (Computer Science, Engineering, Data Science, or related discipline More ❯