1 to 25 of 114 Computer Science Degree Jobs in Berkshire

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 ❯

Ensure compliance with healthcare industry standards (HL7 FHIR, HIPAA, and related frameworks). Technical Oversight & Collaboration Oversee technical aspects of AI product design, development, and deployment. Collaborate with data science, product, and engineering teams to ensure seamless integration of AI solutions. Continuously assess and adopt emerging technologies that align with the long-term innovation roadmap. Team Leadership & Development Lead … and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of experience in IT architecture, data engineering, or software engineering, including 7+ years More ❯

accommodate the platform’s growth targets. Areas of focus include system reliability, testability, recoverability, automation, throughput and latency. Our engineers are analytical thinkers and have a strong understanding of computer science fundamentals and software engineering. You will be exposed to multiple financial markets and market structures, have the opportunity work on scaling a real-time system with a … professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM field Excellent communicator Self-directed, self-motivated More ❯

quantitative analysis and insights in financial markets, they excel in some of the most intricate and competitive products. As a growing electronic trading firm, they blend disciplines such as computer science, finance, systems engineering, and statistics. Their dedicated engineers and traders have developed some of the fastest trading systems. Their competitive edge lies in their low latency trading … by highly skilled programmers, they are utilising the latest technologies to build a fast, low latency, and robust trading infrastructure capable of handling transactions worth millions daily. Requirements: A degree in Computer Science or a related field, demonstrating a strong foundation in theoretical and practical aspects of computing. Extensive experience with C/C++ and object-oriented 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 ❯

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 ❯

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 ❯

Collaborate with data engineering teams to ensure the availability of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or a related field. 4+ years of experience in building and deploying AI/ML models in More ❯

Prototype new ideas and stay informed on emerging technologies and frameworks What We’re Looking For in a Software Developer A 2:1 or above in a STEM or Computer Science degree (or equivalent) Strong academic track record. 3+ years’ experience in professional software development Deep expertise in C# , SQL , and Microsoft SQL Server Solid understanding of More ❯

of requests. Contribute to expanding data coverage, including live data collection and historical backfills. Help maintain data quality and integrity across a wide range of financial datasets. Requirements A degree in Computer Science, Data Science, Finance, or a related technical field. Experience in a data support, technical support, or IT helpdesk role - ideally within a financial 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 ❯

negotiation skills; the ability to inspire, engage, partner with, and influence senior leadership Excellent verbal and written communication skills Digitally-savvy and well-informed on innovations, trends, and technologies Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred If you are ready to take on a challenging role as a 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 ❯

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 ❯

Troubleshoot and resolve complex technical issues. Stay current with emerging trends in software engineering and apply them to projects. Propose technical improvements and champion best practices. Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field—or equivalent practical experience. Minimum of 10 years’ professional experience in software engineering. Proficiency in one or more More ❯

Troubleshoot and resolve complex technical issues. Stay current with emerging trends in software engineering and apply them to projects. Propose technical improvements and champion best practices. Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field—or equivalent practical experience. Minimum of 10 years’ professional experience in software engineering. Proficiency in one or more More ❯

monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and safety mechanisms in all development work Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer Science, Software Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging Face, Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux More ❯

Calypso , or Kondor+ . Exposure to cloud technologies (e.g., AWS , Azure ) and containerisation (e.g., Docker , Kubernetes ). Understanding of regulatory frameworks (e.g., MiFID II , EMIR ). Education: Bachelor’s degree in Computer Science, Engineering, Finance, or a related field. Relevant certifications (e.g., CFA, FRM, AWS Developer) are a plus. More ❯

coding standards. Assist in troubleshooting, debugging, and performance tuning of applications. Document technical designs, processes, and solutions. Stay up to date with emerging tools, technologies, and best practices. Requirements: Degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Solid programming skills in Java with exposure to object-oriented programming principles. Understanding of More ❯

team is primarily C# and Python backends, SQL databases, RabbitMQ, REST, React and Excel UI. Exposure to C++ is beneficial as interaction with the quant library is usual. A degree in Computer Science, Engineering, Finance, Mathematics, or a related quantitative field. Should have solid Maths or science knowledge. Requirements 7+ Years developing software commercially. Experience in More ❯

and resolve complex application issues, ensuring optimal performance and reliability. Stay updated with Guidewire product releases and industry trends to drive innovation and continuous improvement. Required Qualifications : Bachelor’s degree in computer science, Information Technology, or related field. Minimum 5+ years of hands-on experience in Guidewire development. Strong expertise in Guidewire modules (PolicyCenter, BillingCenter, ClaimCenter). More ❯

Collaborate closely with product and operations teams to deliver seamless solutions. Evaluate and integrate emerging tools and technologies in the data engineering space. What We’re Looking For Essential: Degree in Computer Science, Engineering, or a related STEM subject. 2+ years’ experience as a Software Engineer (or Data Engineer with a software focus). Strong coding skills More ❯

company. Driven by client satisfaction. Strong teamwork skills. Ability to manage own time and deliver expected results on time. Commitment to continuous learning and improvement. Exceptional analytical skills. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. … Education and Experience: Degree in Computer Science or related field. 7+ years of software development experience using Python or any other OOP languages. Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data More ❯