Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Contribute to the continuous improvement of development processes, including CI/CD and automated deployment pipelines. Required Skills & Experience Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and application frameworks (e.g., Flask, FastAPI, or similar). Solid understanding of software engineering principles, including object-oriented design and modular architecture. Experience building applications for front office environments More ❯
Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data science projects More ❯
Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data science projects More ❯
in one or more modern programming languages such as Python, C++, or Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure, including data pipelines, training/inference workflows, and More ❯
end DS/ML projects successfully from concept to production. Proven track record of managing client interactions, presenting technical solutions, and influencing strategic decisions. Expertise in Python programming (NumPy, Pandas, Scikit-learn, Keras/TensorFlow/PyTorch). Strong understanding of statistical modeling, experimental design, and hypothesis testing. Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles. Excellent communication More ❯
WHAT WE NEED FROM YOU: Required: 7+ Years of professional work experience in Python software development Extensive experience with core AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, XGBoost) Experience with Python RESTful APIs using Fast API, ensuring effective communication between backend systems and applications Experience with relational and/or NoSQL databases (e.g., SQL, Google FireStore, Azure More ❯
machine learning fundamentals (e.g., model architectures, optimizers, statistical principles) and the data science lifecycle. Strong proficiency in Python's scientific computing and Machine Learning ecosystem (e.g., PyTorch, NumPy, SciPy, Pandas). An understanding of how high-level Machine Learning frameworks interact with low-level hardware (e.g., C CUDA on GPUs). A proactive ownership mindset and the ability to navigate More ❯
in production environments. Strong proficiency in Python and SQL, with plenty of familiarity using popular libraries for machine learning (e.g. scikit-learn, XGBoost, LightGBM, PyTorch) and data manipulation (e.g. Pandas, NumPy, Polars, DuckDB, Dask). Experience applying software engineering best practices to both greenfield and brownfield development (e.g. testing, CI/CD, containerization, observability) Excellent technical communication and collaboration skills More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps More ❯
