126 to 150 of 800 Remote Computer Science Jobs

CI/CD pipelines and infrastructure as code (e.g., Terraform or CloudFormation) is a plus. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Bachelors or masters degree in computer science, Engineering, Data Science, or related field. Experience with streaming data technologies (e.g., Kafka, Kinesis). Familiarity with data cataloging and metadata management tools. Exposure to machine More ❯

CI/CD pipelines and infrastructure as code (e.g., Terraform or CloudFormation) is a plus. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Bachelors or masters degree in computer science, Engineering, Data Science, or related field. Experience with streaming data technologies (e.g., Kafka, Kinesis). Familiarity with data cataloging and metadata management tools. Exposure to machine More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision … work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in … the intersection of research and applied engineering . You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact. Essential experience: Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelines Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision … will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for image and video analysis Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads) Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in … the intersection of research and applied engineering . You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact. Essential experience: Strong background in Computer Vision and image/video processing Hands-on experience with OpenCV pipelines Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras) Knowledge of CNN architectures and training dynamics Proven experience More ❯

years of experience as a Product Owner or similar, ideally within the insurance or fintech sector. You must have good knowledge in AI, Machine Learning or NLP Background in computer science, data science, economics, or a related field would be preferred. Strong problem-solving, conceptual thinking, and analytical skills. Solid understanding of service-oriented architecture and Agile More ❯

governance practices. Present clear, concise, and data-backed recommendations to stakeholders and senior management. Support automation and optimization of reporting processes to improve efficiency. Requirements Bachelors degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data More ❯

Other duties as assigned Regular attendance Supports our BMI Core Values and cultivates a culture of diversity and inclusion POSITION QUALIFICATION REQUIREMENTS Education: Bachelor's Degree or higher in Computer Science or Computer Information Systems Experience: One year of experience with Salesforce Apex development on the Salesforce platform. Understanding of object oriented and structured development methodologies Basic 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 ❯

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 ❯

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 ❯

impact. Candidate Profile We are seeking an experienced AI leader with: Proven success in AI/ML product development and innovation lifecycles. Strong technical expertise in machine learning, data science, or computer science . Hands-on experience developing applications using LLMs and APIs . Familiarity with agile and lean methodologies . Strong communication skills, with the ability More ❯

impact. Candidate Profile We are seeking an experienced AI leader with: Proven success in AI/ML product development and innovation lifecycles. Strong technical expertise in machine learning, data science, or computer science . Hands-on experience developing applications using LLMs and APIs . Familiarity with agile and lean methodologies . Strong communication skills, with the ability More ❯

Data Science Manager Up to £120,000 London (Remote/Hybrid) Company: Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead … and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex … both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding More ❯

Data Science Manager Up to £120,000 London (Remote/Hybrid) Company: Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead … and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex … both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding More ❯

Perform exploratory data analysis to identify patterns and trends. Document project milestones, coding progress, and learnings. Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn. Learn about … experienced professionals in the AI field. Requirements Passion for AI/ML : Demonstrated interest in artificial intelligence and machine learning. Education : Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related field. Programming Skills : Basic proficiency in Python and familiarity with machine learning libraries. Analytical Thinking : Ability to break down complex More ❯

reporting tools to support business growth. Skills and Experience Education and Certifications A third-level degree, with a strong academic record in a quantitative field of study (e.g., Data Science, Statistics, Mathematics, Computer Science). Minimum of 2 5 years of relevant experience in data analysis, business analysis, or technology consulting within financial services, ideally funds or … operations. Experience with data migration, ETL, or systems integration. Familiarity with project delivery methodologies (e.g. Agile, Waterfall, Hybrid). Experience working in the Banking, Insurance, Asset Management, Healthcare, Life Science & Public Sector preferred. Life at Grant Thornton Reward and benefits: Our rewards and benefits are designed to create an environment where our people can flourish. We are committed to More ❯

accountability, and a customer-focused attitude; A can-do attitude; Ability to work both independently with minimal supervision and collaboratively as part of a team. QUALIFICATIONS Bachelors Degree in Computer Science, Information Science, or related field and/or equivalent technical degree required. Certifications of Microsoft and Cisco are preferable. More ❯

and a customer-focused attitude; A can-do attitude; Ability to work both independently with minimal supervision and collaboratively as part of a team. QUALIFICATIONS Bachelor’s Degree in Computer Science, Information Science, or related field and/or equivalent technical degree required. Certifications of Microsoft and Cisco are preferable. More ❯

and a customer-focused attitude; A can-do attitude; Ability to work both independently with minimal supervision and collaboratively as part of a team. QUALIFICATIONS Bachelor’s Degree in Computer Science, Information Science, or related field and/or equivalent technical degree required. Certifications of Microsoft and Cisco are preferable. Please follow us on Linkedin: people-first More ❯

and integrate them into the operating system. Take technical responsibility for significant sections of assigned projects. Translate complex functional and technical requirements into detailed design. Requirements: A degree in Computer Science, Electronics, Natural Science, Mathematics, Engineering, or a related discipline (or equivalent industrial experience). Expertise in computer graphics, including design and implementation of OpenGL, OpenGL … ES, Vulkan, or DirectX APIs. A proven track record in real-time embedded software development, preferably for mobile devices, with a strong understanding of modern development environments. Understanding of computer graphics pipelines and modern mobile GPU architectures. Expert proficiency in C and C++ programming languages. System-level performance analysis and strong OS fundamentals (memory management, multithreading/synchronization, user More ❯

or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering Teams Define model specifications, input/output schemas, and security constraints suitable for self-contained deployment. Ensure models are lightweight, auditable, and performant in resource-constrained or … candidate will possess the following skills, abilities and experience: 3+ years of product management or product ownership experience, ideally in AI/ML or data-driven products. Degree in Computer Science, Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, pipelines, and constraints. Experience working closely with data science and engineering More ❯

analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how to contextualise results and communicate insights to both technical and non-technical audiences. Computer vision experience is essential for this role. Responsibilities Work with cross-functional teams to identify business problems and translate them into data-driven solutions. Develop algorithms and statistical models … scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with data analysis, data visualization, and data cleansing. Experience in applying data … science within the context of engineering, manufacturing, or industrial operations desirable. Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field. More ❯

a strong background in multi-cloud environments, machine learning, and scalable data solutions, with the ability to design and implement cutting-edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities … and implement new technologies and tools to enhance data capabilities Support data webforms (SQL databases) and processes for API connections, including drag-and-drop data functionality Lead complex data science projects from conception to implementation Develop real-time data processing solutions and data solutions at scale Integrate AI/ML with applications and systems Mentor junior data scientists and … contribute to the overall growth of the data science team Communicate findings and recommendations to both technical and non-technical stakeholders Required Qualifications Required: Degree in Computer Science, Statistics, Mathematics, or related field 7+ years of experience in data science or related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in More ❯