76 to 100 of 4,201 Remote Computer Science Jobs

tools like Prometheus, Grafana, or Azure Monitor at scale Background in implementing disaster recovery and high-availability solutions for critical systems Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, or related field OR equivalent senior-level professional experience Relevant professional certifications such as Microsoft Azure certifications (Azure Administrator, Azure Solutions Architect, Azure DevOps Engineer More ❯

management. Autonomous with a positive mindset Language Skills: Fluent English (written and verbal) French or Dutch would be a plus Education and Experience: Master's degree with degree in Computer Science or Information Technology or Business Engineering Minimum 7 years of working experience managing cybersecurity initiatives, IT and DevOps projects, ideally in a cloud transformation environment. Proven track More ❯

development productivity and build AI-powered solutions. Recruitment : Support the hiring process by participating in interviews and onboarding new team members. The Ideal Candidate: Qualifications : Bachelor's degree in Computer Science, Software Engineering, or a related discipline - or equivalent practical experience 8+ years of professional experience in software development, with demonstrable technical leadership Essential Experience : Strong hands-on More ❯

pushing for changes that improve reliability and velocity. Conduct blameless postmortems to analyze incidents, identify root causes, and implement preventive measures. Requirements Who you are: Bachelor's degree in Computer Science, Information Technology, or a related field. At least 8 years in a Reliability Engineering, DevOps or infrastructure focused role. Proven track record of leading and managing a More ❯

of networking Experience with FreeBSD or other BSD based OS's Must excel with agile and lean development practices and manage multiple priorities and multiple roles. BS Degree in Computer Science, Physics, Engineering or Mathematics or equivalent experience. Experience with build automation and CI/CD. Expertise with monitoring or log aggregation tools. Proficient in one of: Golang More ❯

by promoting inclusivity and empathy in collaboration and knowledge-sharing activities, ensuring every voice is heard and valued. What you'll need to be successful: Bachelor's degree in Computer Science, Engineering, or a related field. Extensive experience in a DevOps or infrastructure engineering role. Strong proficiency in Microsoft Azure cloud services and architecture. Experience with containerization technologies More ❯

by promoting inclusivity and empathy in collaboration and knowledge-sharing activities, ensuring every voice is heard and valued What you'll need to be successful: Bachelor's degree in Computer Science, Engineering, or a related field Extensive experience in a DevOps or infrastructure engineering role Strong proficiency in Microsoft Azure cloud services and architecture Experience with containerization technologies More ❯

fast-paced environment. Strong communication and interpersonal skills, with the ability to influence and collaborate effectively across teams. Ideally educated to Bachelor's or Master's degree level in Computer Science, Engineering, or related field. In return for your contribution we offer a base salary of £90,000 - £100,000DOE + benefits Please note, as a regulated business More ❯

professionalism with a sense of fun, fostering a positive and enjoyable work environment Staying abreast of and (where necessary) applying the latest emerging technologies Essential Skills A degree in Computer Science or relevant experience Experiences with delivering multiple challenging projects to agreed timeframes Ability to be agile and react quickly to changing priorities Experience designing and architecting scalable More ❯

and resolving problems. High level of professionalism, integrity, and ethical standards. Excellent leadership, management, and communication skills. Passion for continuous improvement, innovation, and learning. Mandatory Criteria Degree in Management, Computer Science, or Engineering, or equivalent management-based digital, data, or technology-specific industry experience. Vast experience in technical leadership roles, managing teams effectively, and working with senior stakeholders. More ❯

the world.We're one global team driven by our common purpose to deliver a better world. Join us.**Job Description**We are seeking a highly experienced and motivated **Data Science Lead** to join our consultancy team. As a Data Science Lead, you will be responsible for leading the development and implementation of advanced data science solutions for … our clients across various industries. You will be a key player in shaping strategic decisions, delivering actionable insights, and driving innovation in the data science domain. In this role, you will collaborate with cross-functional teams, including clients, business stakeholders, and technical experts, to deliver impactful data-driven solutions.This is an exciting opportunity for a seasoned **Data Scientist** who … enjoys solving complex business problems, mentoring teams, and working with diverse client environments.**Key Responsibilities:**+ Lead and manage end-to-end data science projects for clients, from problem scoping and model development to deployment and ongoing optimization.+ Collaborate closely with clients to understand their business needs and translate them into tailored data science solutions.+ Apply advanced statistical More ❯

from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Overview We are seeking a highly motivated and experienced AI/Data Science Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role will be responsible for envisioning … insights • Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Marketing, or a related field Bonus Points: • Experience working in or with performance media agencies • Experience with cloud computing platforms (e.g., AWS, Google More ❯

coordinate cross-project initiatives and activities. Demonstrates an understanding of users' needs and effectively participates in the development and implementation of business solutions. Required Qualifications: Master's degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Alternatively, a Bachelor of Science plus Master in Business Administration is acceptable. 8+ years of hands … on experience in software engineering, DevOps, data science, IT and/or other relevant engineering domains 5+ years of successful Project Management experience in leading and managing devops/platform teams in a technology-driven company Expert understanding and knowledge of DevOps & SRE practices and Agile methodologies. Solid experience deploying SaaS solutions in multi-cloud (AWS, Azure, and/… cross-functional teams effectively. Solid organizational and time-management skills, coupled with a keen eye for detail. Exceptional communication with a perfect command of English. Preferred Qualifications: PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience designing and deploying Infrastructure to support machine learning and data analytics solutions. Experience in data engineering More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into … AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical ideas More ❯

and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into … AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical ideas More ❯

lifecycle methodology. • Must be well experienced in design and development of Microservice using Java, Spring-Boot, Rest API, JPA and JQL Required Skills and Experience • Bachelor's degree in computer science or related engineering field with 9+ years of technical experience focusing on Java application development projects • Provisioning, operating, and maintaining systems running on AWS (or equivalent cloud … Scrum and possibly experience with leading a Scrum team as a scrum master or equivalent • PostgreSQL, DynamoDB, HBase, MongoDB, Cassandra • Good understanding of DevSecOps practice and tools • Masters in Computer Science or related field Customer Requirements • Clearance - Ability to obtain and hold a public trust position and favorable suitability based on a CBP Background Investigation • Citizenship - Must be More ❯

bonus. A strong understanding of the math and theory behind machine learning and deep learning. Software engineering background with 3-5 years of experience (waived for a PhD in Computer Science or related: we use Python, SQL, Unix-based systems, git, and github for collaboration and review). Machine/Deep Learning development skills, including experiment tracking (we … Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background … is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: Familiarity in coding for at-scale production, ranging from best practices to building back-end API services More ❯

supported applications and business processes. Document small changes to include communication back to the client. Actively participate in deployment of changes. Experience, Education and Qualifications: Degree in Finance, Business, Computer Science, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics. Understanding of the implementation process including requirement analysis, design, configuration/development, migration, testing, and change … Platform. Knowledge or Service Bus architecture Logic Apps Azure functions (C#) Proficiency in the following technical areas: XML, JQUERY/JSON, REST/ODATA APIs. Proficiency in SQL. Advanced computer skills (primarily Excel, Word, PowerPoint, and Visio); familiarity with use of Outlook, Teams, and SharePoint as collaboration tools. Preferred: Knowledge of the Intapp Risk, Time and CRM products Knowledge More ❯

documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of experience in machine learning engineering, applied AI, or related fields. Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related technical discipline. Strong foundation in machine learning and data science fundamentals—including supervised/unsupervised learning, evaluation metrics, data preprocessing … in production, using tools like MLflow, Weights & Biases, or similar. Strong communication skills and ability to work across disciplines with ML scientists, engineers, and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering, or a related technical discipline. Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering … and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data platforms. Broader data science experience, including forecasting, recommendation systems, or optimization models. Experience with streaming data pipelines, real-time inference, and distributed ML infrastructure. Contributions to open-source ML projects or research in applied AI/LLMs. Certifications in Azure, AWS, or GCP related to More ❯

platforms (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliability Translate complex data science and ML concepts for technical and non-technical audiences, fostering alignment across distributed teams Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and … version control, and code optimization. Excellent communication and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out A track record of … Engineer for Game Technology London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London, England More ❯

with SAP Lob and Local cloud delivery and operations team to create an automated continuous integration (CI) and continuous delivery (CD) system; What you bring Bachelor’s degree in computer science, engineering or a related field, or equivalent experience Knowledge of Cloud services such as AWS EC2, S3, GCP Compute Engine, Object Storage, Azure Compute etc. Implementation Experience … Requisition ID: 420868 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Job Segment: Cloud, ERP, SAP, Computer Science, Product Development, Technology, Research #J-18808-Ljbffr More ❯

Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background … is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: Familiarity in coding for at-scale production, ranging from best practices to building back-end API services More ❯

Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background … is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: Familiarity in coding for at-scale production, ranging from best practices to building back-end API services More ❯

Jupyter, Weights & Biases). An understanding of Language Models, using and training/fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background … is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: Familiarity in coding for at-scale production, ranging from best practices to building back-end API services More ❯

Group's AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices. The AI Chapter's team objectives: Implement AI & ML technology … closely with or as part of product squads to build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. … AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor's degree (master's or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and More ❯