Proficiency in using JupyterLab or AWS Sagemaker for interactive data analysis and model development. Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy and Statsmodels. Expertise in time series forecasting techniques, such as RNNs, LSTMs and GRUs. Knowledge of Grafana (or similar More ❯
Accountability: Owns and takes responsibility for the quality and delivery of the assigned tasks Desired skills Machine Learning and Deep Learning Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras etc. Communication: Effectively communicates complex technical concepts to a diverse audience including technical, and non-technical stakeholders, both verbally and in writing More ❯
AI. Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face. Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. Hands-on experience with Docker, Kubernetes, and More ❯
with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python More ❯
Strong experience in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and MLOps frameworks More ❯
how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as More ❯
how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as More ❯
how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as More ❯
cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning More ❯
cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning More ❯
Crawley, Sussex, United Kingdom Hybrid / WFH Options
Rentokil Initial plc
and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering More ❯
related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI). Familiarity with version control systems (e.g., Git). More ❯
Crawley, Sussex, United Kingdom Hybrid / WFH Options
Rentokil Pest Control South Africa
and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering More ❯
Phoenix, Arizona, United States Hybrid / WFH Options
msysinc
attention to detail, and a commitment to quality. Strong communication, leadership, and mentorship abilities. Preferred, but not required: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus. More ❯
Agents, and fine-tuning foundation models. Experience working with LLM models from OpenAI, Mistral, Anthropic etc. Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Keras, LangChain, and Hugging Face Transformers a big plus. Skilled in Python and Java, with a focus on writing efficient and scalable code More ❯
business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We More ❯
business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We More ❯
Fairfax, Virginia, United States Hybrid / WFH Options
LMI Government Consulting (Logistics Management Institute)
or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Familiarity with software development, cloud computing (AWS, Azure), and algorithms. Strong analytical and problem-solving skills with the ability to More ❯
3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL More ❯
years of hands-on experience in AI and machine learning. Technical Expertise: Strong proficiency in Python. Expertise in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar. Machine Learning: Solid understanding of supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in More ❯
or equivalent fields Strong mathematical background (linear algebra, calculus, probability & statistics) Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience with modern software development tools and practices (Git, pull requests) Experience analyzing model More ❯
in computer science, Software Engineering, or a related field. Proficiency in programming languages (e.g., Python, C#, C++). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus (e.g., Docker, Kubernetes). Knowledge of big data technologies More ❯
MLOps, DevOps, or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration More ❯
