26 to 50 of 787 Remote PhD Jobs

Portal. AI for Operations Efficiency: Automate Ops workflows to enhance self-service capabilities for merchants and consumers, improving service quality and cost efficiency. What we're looking for: Education: PhD or Master's in Computer Science, AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge More ❯

Get AI-powered advice on this job and more exclusive features. Infosys Consulting is a leading innovator in the tech industry, specializing in artificial intelligence and machine learning solutions. We work with a diverse range of clients to deliver cutting More ❯

problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Data Science, Applied Math and/or Computer Science. Benefits: This is a full-time or … bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Job Types More ❯

Required Skills and Qualifications MSc or PhD in Computer Science, Data Science, Machine Learning, or a related field. 3+ years of experience in developing machine learning solutions. Strong proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of ML lifecycle: data handling More ❯

we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a recent PhD graduate, or about to graduate, in a STEM field with a keen interest in generating real-world impact with industrial applications. Must have: Relevant PhD degree in a STEM field More ❯

for testability and readability • Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements • Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science • Minimum 15 years' experience in software engineering-related discipline • Active TS/SCI security clearance • US CITIZENSHIP REQUIRED Preferred skills: • Experience providing technical leadership More ❯

the tech stack and architecture for core components of the platform Contribute to novel research and publish at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise More ❯

contribute to scientific visibility through conferences, workshops, and potential publications. Collaborate closely with data engineers, domain experts, and statisticians to bring prototypes into production. Profile Sought Master's or PhD in Computer Science, Mathematics, Physics, Engineering, or other quantitative fields. Solid professional experience in machine learning , data science , or applied AI roles. Excellent command of Python . Practical experience with More ❯

agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects working alongside high-performing ML, data, and software engineers using agile software More ❯

with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field. Background in generative modeling , Bayesian deep learning , signal/image processing , or graph models . Experience applying probabilistic models More ❯

a strong 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 … scikit-learn, 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 More ❯

simulation Python and SQL proficiency Analytical mindset with the ability to move from ambiguity to clarity Proven experience applying models in a commercial or operations-heavy setting MSc or PhD in a quantitative field (e.g. OR, AI, Maths, Stats, Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data More ❯

agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects working alongside high-performing ML, data, and software engineers using agile software More ❯

step up into a role with real autonomy, and to shape how data is handled across the company. What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms More ❯

research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in More ❯

simulation Python and SQL proficiency Analytical mindset with the ability to move from ambiguity to clarity Proven experience applying models in a commercial or operations-heavy setting MSc or PhD in a quantitative field (e.g. OR, AI, Maths, Stats, Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data More ❯

simulation Python and SQL proficiency Analytical mindset with the ability to move from ambiguity to clarity Proven experience applying models in a commercial or operations-heavy setting MSc or PhD in a quantitative field (e.g. OR, AI, Maths, Stats, Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly Experience working with geospatial data, routing, scheduling , or More ❯

and benchmark ML algorithms; write clear, efficient code in Python Deliver prototypes that become production-grade components for Le Chat and our enterprise API About You Master’s or PhD in Computer Science (or equivalent proven track record) 4 + years working on large-scale ML codebases Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/ More ❯

a growing organisation Familiarity with AWS SageMaker and modern cloud-based ML workflows History of publications, open source contributions, or community involvement in the data science field MSc or PhD in a quantitative field (e.g. statistics, computer science, mathematics). Forge Holiday Groups Company Benefits Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary More ❯

Perform code reviews and ensure exceptional code quality Manage & mentor junior data scientists & apprentices Help building a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. At least 2-5 years of industry experience More ❯

functional strategies related to own discipline Influence leaders within own function to adopt solutions, establish priorities, and allocate resources May lead teams or projects with broad visibility Minimum Qualifications PhD in Computer Science, Data Science, Construction, Architecture, Civil Engineering, or a related field 10+ years of experience in Digital construction including 5+ of experience in the specificity of Construction Site More ❯

the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired Qualifications Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at More ❯

Help us to craft the next of our products You Are a Good Fit If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership More ❯

us to craft the next generation of our products You Are a Good Fit If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership More ❯

us to craft the next generation of our products You Are a Good Fit If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership More ❯