876 to 900 of 2,213 Remote Python Jobs

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

solutions iteratively Your fitness level Core Experience : You have proven experience (2+ years) building and orchestrating ML models for Computer Vision tasks Technical Stack : You are highly proficient in Python and expert in relevant ML frameworks (PyTorch, TensorFlow/Keras) and packages (NumPy, Pandas) Data Skills : Preferably, you have hands on experience with data science tooling and expertise in dataset More ❯

experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent More ❯

our clients-who use our retail media solutions. What You Bring To The Position Extensive experience as a Data Scientist or Machine Learning Engineer , with strong development skills in Python . Proven experience working with recommendation systems or relevance models . Knowledge of DevOps principles and experience maintaining production grade systems. Experience in AdTech , retail media , or other high traffic More ❯

Technical Skills 8+ years of experience in the full software development lifecycle (SDLC), including requirements gathering, functional design, development, testing, and implementation. 3+ years of hands-on experience withC#, Python, SQL, and Excel Macros. Proven expertise with a leading wire management platform; IVP Cash Master experience is strongly preferred. Solid understanding of systems managing Standard Settlement Instructions (SSI),SWIFT message More ❯

into the product portfolio About You Msc or PhD in Machine Learning, Data Science, Computer Science or related field with a strong focus on Machine Learning Strong experience in Python, and ML frameworks such as Huggingface Transformers, LangChain, Tensorflow or PyTorch Successful track record in the field of ML, ideally through a mix of research and production projects Nice to More ❯

the commercial or operational sphere of the business Key Skills: Ability to work independently and to prioritise workload Confident use of Excel and some knowledge of SQL and or python Strong numeracy and analytical skills Good written and verbal communication skills Desired Qualifications: Educated to Degree Level with evidence of ability in Maths and an affinity with online/IT More ❯

Studying Computer Science, Cyber Security, or a related technology field. Basic understanding of cloud concepts (preferably AWS). Familiar with security fundamentals- encryption, IAM, networking. Some experience with scripting (Python, Java Script). Strong analytical and problem-solving mindset. Clear written and verbal communication skills. The hiring process: 1st step: Your CV application 2nd step: A take-home recorded interview More ❯

level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch We look forward to meeting you. In return, we are More ❯

experience with production applications Track record with at least one live application currently serving users in production Proven experience designing and implementing RESTful APIs at scale Strong experience with Python and modern web frameworks Comfortable working in TypeScript for frontend integration debugging Experience in building infrastructure for image/video/3D or graphics-intensive/data-intensive web apps More ❯

experience with production applications Track record with at least one live application currently serving users in production Proven experience designing and implementing RESTful APIs at scale Strong experience with Python and modern web frameworks Comfortable working in TypeScript for frontend integration debugging Experience in building infrastructure for image/video/3D or graphics-intensive/data-intensive web apps More ❯

L, balance sheet, cash flow relationships) Awareness of multivariate regression/statistics (e.g. R2, confidence intervals, significance) Comfortable working with datasets of thousands of records Desirable but not essential: Python or another programming language Experience with statistical tools (e.g. SPSS, Stata) Prior consulting experience Additional European languages Mindset & Soft Skills Naturally curious and analytical – you enjoy getting into the detail More ❯

L, balance sheet, cash flow relationships) Awareness of multivariate regression/statistics (e.g. R2, confidence intervals, significance) Comfortable working with datasets of thousands of records Desirable but not essential: Python or another programming language Experience with statistical tools (e.g. SPSS, Stata) Prior consulting experience Additional European languages Mindset & Soft Skills Naturally curious and analytical – you enjoy getting into the detail More ❯

HTTP connectors, Parse JSON and dynamic expressions. Maintains a high standard of technical delivery. You'll also have: Any knowledge or experience of supporting tools and technologies such as Python, JSON, JavaScript, Plumsail or Lists would be a benefit but is not a requirement. Any experience with Power BI is an advantage but not a requirement. The ability to work More ❯

driver development is preferred. Good understanding of test methodologies, CI and test automation. Strong interpersonal skills; excellent written and spoken English. Nice To Have Skills and Experience Experience with Python programming and writing shell scripts. Basic understanding of the Linux kernel, system software and device drivers, and Android internals Familiarity with open-source project development cycles and contribution processes. Experience More ❯

or data science roles. An understanding of the machine learning development lifecycle, including model development, deployment, monitoring, and maintenance. Experience with Quantexa would be advantageous. Strong programming skills in Python and experience with common ML libraries. Experience with big data tools, such as Spark Experience with containerization and orchestration technologies like Docker, Helm, and Kubernetes. Familiarity with DevOps tools such More ❯