12 of 12 Contract scikit-learn Jobs

Skills/Knowledge/Experience Data Science & ML Supervised and unsupervised learning Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines ...

exposure to ML lifecycle. Hands-on experience building or maintaining ML workflows or pipelines. Strong Python skills and experience with tools like MLflow, Scikit-learn, or PyTorch. Familiarity with cloud platforms (especially Azure, AWS). Good understanding of containerisation (Docker) and orchestration (e.g. Kubernetes). Exposure ...

prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform ...

Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog ...

mixed integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobi etc.) to solve real-life problems and visualise the outcomes (e.g. seaborn) Proficient in working with cloud platforms (AWS preferred ...

Skills: Strong proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge of automation technologies including RPA platforms (e.g. UiPath ...

Extensive hands-on experience of frameworks and libraries: Proficient in scikit-learn and SciPy for ML algorithms Hands-on experience within python with PyTorch and experience in developing enterprise python applications Skilled in natural language processing tasks (entity recognition, tokenization etc) Strong knowledge of API/Microservices , Async ...

environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...

Responsibilities AI software development and prototyping Proof of Concept (PoC) development Working with LLM stacks (e.g. Ollama + LangChain) Machine learning development using Scikit-learn Transitioning solutions from synthetic data environments to production data Working within Agile Scrum delivery teams Key Skills & Experience Strong experience in AI/ ...

Automated Intelligence SME Clearance Required: SC An opportunity is available for an experienced AI Subject Matter Expert to support the implementation and delivery of Automated Intelligence solutions within secure environments. You will work across technical ...

Geospatial Data Engineer - Contract Remote UK £420 per day 12 Months - the entirety of 2026 into 2027 Deemed Outside IR35 (pending QDOS assessment) This Contract Geospatial Data role is a fantastic opportunity to work on ...

Location : Hybrid (London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex ...