8 of 8 Remote scikit-learn Jobs in Slough

Proven track record delivering ML/AI solutions in complex, real-world environments Strong Python skills and experience with key ML libraries (e.g., scikit-learn, XGBoost, PyTorch) Exposure to Generative AI technologies (e.g., LLMs, embeddings, RAG systems) Excellent communication skills and ability to engage senior stakeholders Nice to More ❯

years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock options. Hybrid More ❯

Company Overview: Verityv is an innovative fast-growing Fintech start-up based in London, revolutionizing the way Non-traditional financial risks are delivered to the market. We are dedicated to leveraging cutting-edge machine learning and artificial intelligence technologies to More ❯

and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with More ❯

all datasets Build and maintain ETL pipelines for processing structured and unstructured data Conduct data analysis and modeling using tools like Pandas, NumPy, Scikit-learn, and TensorFlow Leverage financial data expertise to identify trends, patterns, and anomalies within complex datasets Support and improve SQL-based queries and work … ELT pipelines and working with large-scale data workflows Hands-on experience with data analysis and machine learning libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow Familiarity with SQL and relational database systems (e.g., PostgreSQL, MySQL) Exposure to cloud platforms such as AWS, Azure, or GCP Experience More ❯

Machine Learning Engineer – SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI … all of the following (full training will be provided to fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data More ❯

Location: London, EC4N 6AP 🌎 Working Arrangements: 2-3 days per week in office Salary: £50,000 - £70,000 Industry: SaaS Tech Stack: Python, scikit-learn, Kubernetes, AWS 👩🏻‍💻 Great opportunity for a talented ML Engineer (Python, scikit-learn, Kubernetes, AWS) to join an AI driven SaaS platform … SaaS platform enables the automation of their social media and email outreach campaigns. The Role ✨ They are seeking a Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) to build out their business-critical platform. You will be expected to work end-to-end across their ML (Python, scikit-learn, Kubernetes, AWS) platform and will be afforded a considerable amount of autonomy. The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS More ❯

Machine Learning Engineer Hybrid Working - 3 days p/w in office (Cannon Street, London) Pays £50k-£70k ML Engineer - Python, scikit-learn, PyTorch, MLOps Oliver Bernard have partnered with an AI driven SaaS platform that are seeking a Mid level Machine Learning Engineer to work on the … will be afforded a considerable amount of autonomy. This platform supports publishing giants such as The Times and The Guardian. ML Engineer - Python, scikit-learn, PyTorch, MLOps Key Skills and Experience: ML frameworks Python TensorFlow, scikit-learn, PyTorch MLOps Kubernetes AWS This role is hybrid working … is £50k-£70k + benefits. 4 stage interview process - 15mins intro call, tech test, 1hr team interview, 30mins CEO discussion ML Engineer - Python, scikit-learn, PyTorch, MLOps More ❯