1 to 25 of 104 Computer Science Degree Jobs in Central London

Technical Quant Developer with deep Computer Science expertise applied to Python, SDLC tooling, Linux, Docker, and SQL sought to join a Boutique Quant Hedge Fund.You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment … the primarily required skill, however mastery of Linux/Docker environments and SDLC tooling such as GitLab CI/CD would be extremely highly regarded. In return for your Computer Science and Engineer nous, full training on the Quantitative Finance, Hedge Funds and Systematic Investing will be provided. Essential Skills & Experience: Undergraduate degree in Computer Science More ❯

Technical Quant Developer with deep Computer Science expertise applied to Python, SDLC tooling, Linux, Docker, and SQL sought to join a Boutique Quant Hedge Fund.You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment … the primarily required skill, however mastery of Linux/Docker environments and SDLC tooling such as GitLab CI/CD would be extremely highly regarded. In return for your Computer Science and Engineer nous, full training on the Quantitative Finance, Hedge Funds and Systematic Investing will be provided. Essential Skills & Experience: Undergraduate degree in Computer Science More ❯

Scrum framework working with as part of a team to deliver business functions and customer journeys that are tested and automated throughout the CICD pipeline to production Desired: · Bachelors Degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. · Experience in professional software development. · Solid understanding of test-driven development, including unit More ❯

Scrum framework working with as part of a team to deliver business functions and customer journeys that are tested and automated throughout the CICD pipeline to production Desired: · Bachelors Degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. · Experience in professional software development. · Solid understanding of test-driven development, including unit More ❯

responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering … life cycle experience Bachelor's degree in Computer Science, Engineering, or related field More ❯

responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering … life cycle experience Bachelor's degree in Computer Science, Engineering, or related field More ❯

About Lenstra Lenstra was created by the passion of engineers specialised in Computer Science with a proven history in delivering top quality solutions to its customers. Bringing together work excellence and vision we managed to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech. About the role Key responsibilities Collaborate … with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving More ❯

About Lenstra Lenstra was created by the passion of engineers specialised in Computer Science with a proven history in delivering top quality solutions to its customers. Bringing together work excellence and vision we managed to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech. About the role Key responsibilities Collaborate … with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving More ❯

onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that … tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP … computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/Inside IR35 subject to assessment) Duration: 6–12 months (extension likely) Start Date: Immediate or within 2–4 weeks Why Join Work with a talented, cross-functional AI and More ❯

onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that … tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP … computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/Inside IR35 subject to assessment) Duration: 6–12 months (extension likely) Start Date: Immediate or within 2–4 weeks Why Join Work with a talented, cross-functional AI and More ❯

machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … collaboration days at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn … passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career More ❯

machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … collaboration days at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn … passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career More ❯

just make it AI.” Champion sensible things like accessibility, performance, and test coverage (we know, radical). Ideal You (We Know You’re Out There): You probably have a Computer Science degree, or you figured it out the hard way. You’ve got significant commercial development experience, ideally not all in the same week. You know your More ❯

concept to production. 📱Optimise for stability, style, and maintainability. 📱Stay up to date with the latest technology trends and implement improvements to enhance product performance and user experience. Qualifications : 🎓Computer science degree or a similar degree. 🎓Strong command of JavaScript with proven experience in React Native. 🎓Ability to code components, manage state, and confidently handle the fundamentals More ❯

concept to production. 📱Optimise for stability, style, and maintainability. 📱Stay up to date with the latest technology trends and implement improvements to enhance product performance and user experience. Qualifications : 🎓Computer science degree or a similar degree. 🎓Strong command of JavaScript with proven experience in React Native. 🎓Ability to code components, manage state, and confidently handle the fundamentals More ❯

Successful track record in meeting and exceeding goals. Ability to easily understand and pitch new services, focusing on value proposition. Knowledge of sales qualification methodologies (e.g., MEDDPIC). A computer science degree or similar discipline would be very helpful. More ❯

Successful track record in meeting and exceeding goals. Ability to easily understand and pitch new services, focusing on value proposition. Knowledge of sales qualification methodologies (e.g., MEDDPIC). A computer science degree or similar discipline would be very helpful. More ❯

them into manageable milestones, and collaboratively deliver sustainable technical solutions Understand and influence alignment between business objectives, technical architecture, and internal/external stakeholder priorities Experience and qualifications: Bachelors Degree in Computer Science or equivalent (3+ years of professional software development experience), or Master's Degree (2+ years post-degree experience) Hands-on experience in More ❯

them into manageable milestones, and collaboratively deliver sustainable technical solutions Understand and influence alignment between business objectives, technical architecture, and internal/external stakeholder priorities Experience and qualifications: Bachelors Degree in Computer Science or equivalent (3+ years of professional software development experience), or Master's Degree (2+ years post-degree experience) Hands-on experience in More ❯

Kubeflow, Vertex 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. More ❯

Kubeflow, Vertex 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. Languages: English: C1 Advanced More ❯

NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins, GitHub Actions), and Infrastructure as Code (Terraform). Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building More ❯

date on emerging trends such as data mesh, data products, and generative AI to strengthen the consultancy’s thought leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution More ❯

Comfort adapting to new languages and stacks quickly Experience in smaller/startup environments (ownership mindset, thrives in ambiguity) Strong communication and collaboration skills; disciplined in reviews and documentation Degree in Computer Science, Engineering, or related field (top-tier university preferred) Desirable Experience Hands-on experience with Rust (or willingness to learn — our current team picked it More ❯

Comfort adapting to new languages and stacks quickly Experience in smaller/startup environments (ownership mindset, thrives in ambiguity) Strong communication and collaboration skills; disciplined in reviews and documentation Degree in Computer Science, Engineering, or related field (top-tier university preferred) Desirable Experience Hands-on experience with Rust (or willingness to learn — our current team picked it More ❯