501 to 525 of 2,094 Computer Science Jobs in the UK

Overview Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (SfM), feed-forward models, and spatial foundation models. Collaborate with research scientists and engineers to transition … conditions, hardware constraints, and real customers. Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. Responsibilities Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning ...

lead across the full analytics lifecycle-from data exploration and modelling through to production-while providing technical leadership, coaching, and strong governance across data science delivery. At Allianz, we champion a collaborative, inclusive, and agile culture where every voice matters. Our flexible working arrangements support work life balance, alongside … following experience will enable you to succeed in this role: Strong academic or equivalent experience: MSc/PhD in a quantitative discipline (e.g. Statistics, Computer Science, Applied Maths) Advanced technical skills: Deep proficiency in Python and SQL, with experience using modern data tools and cloud platforms such ...

Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with … through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical ...

Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with … through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical ...

Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with … through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical ...

this platform Responsible for code-driven environment, applications, and container/image builds as well as CI/CD driven application deployments. Consult science users on application scalability to PBs of data by having a deep understanding of software engineering, algorithms, and underlying hardware infrastructure and their impact … best practices and helps to guide improvements to them that improve ways of working Why You? Basic Qualifications: Bachelor's degree in Data Engineering, Computer Science, Software Engineering Experience with Python Experience with Cloud Experience with High Performance Compute (HPC) Preferred Qualifications: Knowledge and use of at least ...

reputed company web and reputed company applications using a reputed company of programming languages, including Java, reputed company, and Python Collaborate with our data science team to build and reputed company machine learning models that reputed company business insights and decision-making Work with our engineering teams to design … reputed company software delivery Collaborate with our product management team to identify and prioritize project requirements and deliverables Essential Qualifications: Bachelor's degree in Computer Science, Engineering, or a reputed company field 5+ years of experience in software development, with a reputed company on web and reputed company ...

help you get up to speed and grow your skills. Minimum Qualifications Analytical Degree: Bachelor's or higher degree in an analytical subject (e.g. Computer Science, Engineering, Maths, Physics). Coding Aptitude: 3+ years of programming experience in Rust or C++ and the willingness to learn new languages … experience with Docker. Preferred Qualifications Any of the following skills would be particularly advantageous, but we welcome applications without these: Experience with data science/AI Familiarity with NATS.io Knowledge of networks and networking protocols (such as TCP/IP and HTTP) Exposure to cryptography Familiarity with SIP, audio ...

models in the cloud, then you’ll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards … apply even if you don’t meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We’re excited to speak to candidates from any of these backgrounds; you don’t need an explicit MLOps ...

responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both … skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non-technical stakeholders. A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. About Us Subsidised Onsite Parking A great working environment ...

bigger. As a Lead AI Engineer within the Workday Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver … functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative ...

technical foundation that enables AI to scale far beyond individual use cases. Job Requirements 10+ years of experience in AI/ML engineering, data science, AI solution architecture, or senior technical leadership roles. Deep expertise in ML, MLOps, AI engineering, and GenAI—including model architectures, evaluation methods, guardrails … security, and data governance. Experience leading technical teams and guiding engineers and architects toward shared outcomes. Bachelor’s, Master’s degree or PhD in Computer Science, Machine Learning, Data Science, Engineering, or related field. Demonstrated experience in pre-sales, solution shaping, and client relationship management. Job Responsibilities ...

self‐driven, and make practical trade‐offs based on business needs, entrepreneurial spirit Excellent verbal and written communication skills BS or MS degree in Computer Science or equivalent Experience in distributed computing frameworks like Hive/Hadoop, Apache Spark Experience in developing Finance or HR related applications Experience ...

technologies and best practices. Support knowledge sharing and community initiatives across the organisation. Bachelor's, Master's, or PhD in a relevant discipline (Engineering, Computer Science, Statistics, or related fields). 10+ years of experience in software development and machine learning engineering. Core Technical Skills Strong expertise ...

testing, documentation, and incident/ticket triage, while adhering to data governance and control requirements Required Qualifications, Capabilities, and Skills: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Strong software engineering fundamentals with hands‐on experience across the SDLC, including system design, development, testing, release ...

Minimum 10 years of hands‐on experience in software engineering, with a strong track record in system design and delivery Bachelor’s degree in Computer Science, Software Engineering, or a related field AWS Solutions Architect Certificate is a plus Equal Opportunity Employer As an Equal Opportunity Employer ...

maintain clear technical documentation Support the ongoing evolution of development standards and internal processes What We're Looking For: Essential Experience: Degree in Computer Science or related discipline In depth experience working within Linux/Unix environments Strong scripting experience using Bash and/or Python Experience working ...

analytics. Engineers collaborate closely with global teams and research centres in Europe and Japan. Requirements Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. Experience: 2 to 3 years of relevant software development experience preferred. Entry‐level candidates with strong academic ...

collaborative working style High standards of engineering excellence and continuous improvement Trusted technical advisor Excellent attention to detail Work Experience, Knowledge & Skills: Degree in Computer Science (or equivalent experience) Extensive Java software engineering experience with significant experience in technical leadership Expert knowledge of Java, JVM performance and modern ...

effectively with stakeholders across business and technology functions. Foster a culture of quality, innovation, and continuous improvement. Preferred Qualifications Bachelors or Masters degree in Computer Science, Engineering , or a related field. Experience building large-scale enterprise or SaaS platforms. Familiarity with serverless architectures and cloud-native development. Exposure ...

experience leading a successful, large-scale technology transformation from legacy systems to a microservices-based architecture. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Desired Skills Technical Expertise: Deep understanding of modern architectural patterns, including microservices, APIs, event-driven architecture ...

highly desirable. Strong understanding of FinTech business models, regulation, licensing, payment infrastructure, and operational processes. Education Bachelor's or Master's degree in: Computer Science Software Engineering Information Technology Applied Mathematics or another technical discipline. Additional education in Finance, Economics, Business, or Investments would be advantageous. Professional Competencies ...

sustainability perspective, ensuring security investments are well‐justified and efficiently allocated About the Candidate Bachelor’s or Master’s degree in Cyber Security, Computer Science, Physics with Computing, or a related discipline; MSc or equivalent postgraduate qualification is advantageous Proven experience in a Cloud Security Architect or Senior ...

system design, build or integration and a track record of taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents ...

management concepts, or risk methodologies (e.g., SPAN, VaR).* Analytical Aptitude: Strong mathematical, analytical, and problem-solving skills.* Educational Foundation: Bachelor’s degree in Computer Science, Engineering, or a related technical field.**Nice To Haves*** Familiarity with event-sourced architectures, columnar databases, Kotlin, or low-latency libraries like ...