276 to 300 of 6,671 Computer Science Jobs in London

cutting through unnecessary processes to get things done. Effectively communicate technical decisions and outcomes, providing clarity and direction for both technical and non-technical stakeholders. Requirements: A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. 5+ years of experience building software in a fast-paced, results-driven environment—preferably with More ❯

technology landscape involving various programming languages (Java, Scala, Python), data management systems, and CI/CD pipelines (Jenkins) What You’ll Bring To The Role Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience 3+ years of software development experience Interest in functional programming and the Scala language Strong analytical and problem-solving More ❯

Incident Management). • NIST Cyber Security Framework • ISO 27001 - Information Security Management System (ISMS) • CIS - Center of Internet Security (Cyber security best Practices) Required Qualifications Bachelor's degree in computer science, Information Security, or a related field. Professional security certification from SANS, CISSP, ISACA, CEH, OSCP would be most beneficial. #LI-LQ1 #LI-Hybrid Walkers global is an More ❯

attitude: Can-do attitude; finds the bright side of even stressful situations and is willing to learn from them. Qualifications Bachelor's or master’s degree in technology or computer science fields 5+ years of programming experience Full stack programming skills (HTML5, CSS/SASS, C#, NodeJS, React/Vue, SQL) Experience developing mobile applications on iOS and More ❯

and convert them to sales and identifying opportunities to generate additional revenue and develop new revenue streams. Qualifications & Experience: As an ideal candidate, you will have a background in computer science and/or significant relevant consulting experience in IBM Maximo migration projects of asset intensive industries. You will have a strong understanding of IBM Maximo an asset More ❯

best practices, and emerging technologies to inspire innovation, drive growth, and elevate the collective expertise of the team. Any additional duties as assigned. Role Requirements Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). Significant development experience in the required language, including OOP. Experience working with multiple programming languages. Experience working with More ❯

Team foundation Server (TFS). (desirable) Skills & Qualifications Good communication skills, both verbal and written. Good time management and organisation skills. MCSE: Data Platform or equivalent. A degree in computer science or a similar subject area (desirable) Have relevant and current experience as a production DBA supporting multiple instances (3-4 years’ experience working with the MS SQL More ❯

AI/ML capabilities to employee experience systems, driving automation and intelligent insights. You May Be a Good Fit If Holds a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field Brings 8+ years of experience in software development, SaaS platforms, risk or compliance technology, and large-scale program execution. Demonstrates strong More ❯

Outstanding oral and written communication skills and leadership qualities in order to ensure agreement across the organisation, especially on difficult/contentious issues. PREFERRED EDUCATION/QUALIFICATIONS: Degree in computer science, Information Security, or a related field or equivalent experience Relevant certifications such as CISSP, CISM are highly desirable. Competitive salary + Eligibility for our Bonus Plan More ❯

are desirable Exposure to cutting-edge Machine Learning and AI technologies, with a passion for exploring their impact on gaming and software development Strong technical background in maths or computer science, educated to at least degree level or with equivalent experience Able to review, debug and enhance already produced code Ability to work constructively as part of a More ❯

Track record delivering at least one production grade eFX cash platform (client flow to booked trade). • Led teams of 5+ engineers across full SDLC. • BSc/MSc in Computer Science, Engineering, Physics or equivalent. • Domain Expertise - Deep understanding of FX pre-trade lifecycle, price construction, liquidity aggregation, streaming vs RFQ workflows, execution, hedging and order management. Achieved More ❯

is paying up to £95,000 + Benefits package. Company is based in London and has a hybrid working model. What we need from you: A BSc Degree in Computer Sciences is preferred. Highly mathematical minded with an interest, or related experience, in the FinTech space Strong communication skills both verbally and written Strong analytical thinking, problem-solving, appropriate More ❯

will transform our sector for our players, for ourselves and for the good of entertainment. Job Description Are you a strategic thinker with a deep technical background in data science, machine learning, and AI? Do you thrive on transforming complex data into actionable insights? At Entain , we're looking for a Senior Data Science & AI Manager to lead … our world-class team in delivering transformative, data-driven solutions across our global operations. About the Role As our Senior Data Science & AI Manager, you'll lead a team of data scientists and AI experts to develop cutting-edge models, uncover critical business insights, and drive strategic decisions. Your work will power innovation across all stages of Entain's … goals. Advanced Modelling: Oversee the creation of custom data models and algorithms to address complex business problems. Strategic Influence: Serve as a subject matter expert, contributing to the Data Science & AI strategy and roadmap. Insight Delivery: Present complex findings clearly through data storytelling, visualisations, and stakeholder engagement. Mentorship & Growth: Coach and develop talent, creating pathways for career progression and More ❯

demonstrations Consult and guide clients on data and ML implementation, serving as a trusted advisor on data-driven decision making WHAT WE ARE LOOKING FOR MSc degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field 3+ years of experience in data science and/or ML engineering roles Strong foundation in … analysis, and optimization Understanding of customer experience principles and marketing analytics including customer journey mapping, conversion optimization, and marketing funnel analysis Proficiency in Python with extensive experience in data science & AI libraries (e.g.scikit-learn, pandas, NumPy, SciPy, etc) Experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions More ❯

on Principal Software Engineer role within a team working on secure, scalable, and high-performance systems that support critical financial operations.We are looking for a highly skilled individual with computer science expertise, problem-solving skills , and a passion for innovation. This role offers progression to Director while remaining an individual contributor, making it an ideal for someone who … Kafka, CI/CD, and containerization (Docker, Kubernetes) is highly valued. Background in integrating complex banking systems , ensuring seamless data flow and compliance with industry standards. Key Skills: Strong Computer Science Foundations: Deep knowledge of algorithms, data structures, system architecture , and their application in banking technology . Experience working across financial systems, transaction processing, and secure banking APIs … Strong experience with GCP (preferred), AWS, or Azure , along with modern DevOps and automation tools. Experience coaching and mentoring engineers without necessarily managing them. Master’s or PhD in Computer Science or a related field Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates About the job Contract Type: FULL More ❯

for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. Monitor and evaluate AI models … on real-world performance. Deliver training and support to clients on AI tools, best practices, and deployment strategies. Stay up to date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Proven experience in AI and machine learning, with a strong portfolio of successful projects. ✅ Proficiency in programming languages such as Python, R, and … as Microsoft Azure (preferred), AWS, or Google Cloud. ✅ Good knowledge of optimization techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? Flexible remote working, must be UK based. Work on cutting-edge AI projects with top More ❯

and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement … cloud platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor’s or master’s degree in data science, Statistics, Computer Science, or a related field is a plus What we'll offer in return In addition to a competitive salary, there are a number of More ❯

Team/Department : Data Science Team within Marketing Sciences Department Line Manager : SVP, Head of Data Science Team Lead : SVP, Head of Data Science The Role Are you a seasoned data scientist with a passion for leading teams and driving innovative solutions in the marketing industry? Do you thrive in dynamic, fast-paced environments where your expertise … can make a tangible impact? If so, join our world-class Data Science team at RAPP as a Principal/Lead Data Scientist! Led by George Cushen (https://www.linkedin.com/in/cushen/), you'll be at the forefront of leveraging AI to reinvent marketing for some of the world's biggest brands, including Ralph Lauren … personalise customer experiences, and optimise revenue for our clients. Lead and Mentor: Lead a team of data scientists, providing guidance, mentorship, and fostering their professional growth. Oversee multiple data science projects, ensuring they are delivered on time and meet or exceed client expectations. Depending on experience, there may be the opportunity for direct reports. Uncover Insights: Use predictive and More ❯

Our dedication to scientific excellence and ethical practices guides everything we do. R&D at GSK is highly data-driven, and we're applying AI/ML and data science to generate new insights, enable analytics, gain efficiencies and automation. This role is based in an AI/ML team that is already working on projects involving Generative AI … Information Retrieval, NLP/NER/RE, document classification and data science, and has won awards and recognition for its work. The team's future projects will be in diverse areas, such as regulatory, clinical, legal and HR. Versatility is key, with an ability to quickly understand domain data and requirements and translate them into solutions. You will interact … Analysing trade-offs between these models and LLMs for NLP tasks. Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG. Document and text Classification Data Science: Data clustering algorithms, feature engineering Evaluate and integrate new technologies and models. Cross-team collaboration, identifying innovations and architecting solutions. Provide leadership and technical direction to various business units More ❯

robust production-grade implementation of models Explore distributed training architectures and federated learning capacity Create analytics environments and resources in the cloud or on-premise, spanning data engineering and science Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success Work at the intersection of data science and software engineering to … products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machine learning for science and engineering, and especially in scaling such solutions to real-world settings Degree (Master's/Doctorate) in computer science, software engineering or equivalent Experience scaling ML … come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here Experience a truly flat hierarchy. Voicing your ideas is not only welcome More ❯

In this role, you'll lead the Scene Understanding Team's computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation. Responsibilities Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras. Translate state … team environment. Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects. Required Qualifications Bachelor's or master's degree in computer science or a related field 6+ years of experience as a Software Engineer Extensive experience in Python Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf … with knowledge of their design best practices and common libraries Proven experience interfacing with AI projects, with a focus on computer vision and geometry Proven experience in production. Excellent leadership, communication, and management skills Additional Qualifications (desired) Experience with asynchronous processes and event-driven architectures Experience with containerized applications, Kubernetes and Docker Experience with Azure Experience with multi-view More ❯

at the same time you embody ownership at the business level and contribute to product development. Basic qualifications: 3+ years of systems development experience; A Bachelor’s degree in Computer Science or equivalent combination of technical education and work experience; Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules; Experience with at least … software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations; Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent; Strong sense of ownership, including an ability to promote operational excellence; Experience with AWS platforms, services, and design patterns; Meets More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning More ❯

latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years … with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning More ❯

and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R … tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on More ❯