151 to 175 of 225 Permanent scikit-learn Jobs

or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical fieldpreferred A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus! Experienced working directly with external customers (ideally in a consulting role) to identifyrequirements and consult on solutions to complex business problems Experienced More ❯

Quant Analytics team. What You Will Bring • University degree or equivalent with proven and displayed competency in data interrogation. • Strong proficiency and experience in Python (e.g., NumPy, pandas, scikit-learn) and quantitative thinking - you enjoy working with data to unearth patterns, trends, and nuances. • Exceptional analytical, problem-solving, and communication skills, with the ability to translate and present More ❯

agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with ML toolkits (e.g. PyTorch, TensorFlow, Scikit-learn) Experience with proposal writing (e.g. Dstl, NS, EPSRC) Prior involvement in engineering assurance, technical review, or QA of R&D outputs Nice-to-Haves: Publications in top journals More ❯

or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder More ❯

What You Will Do Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources … applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working More ❯

A leading AI Analytics startup is looking to hire a Data Scientist to work on their latest AI products. Their cutting-edge platform turns complex data into actionable insights with intuitive AI tools and advanced visualization features, empowering users to More ❯

drive data-informed decisions What we're looking for: 4-8 years experience in data science, ideally in fintech, payments, or crypto Strong SQL + Python (Pandas, NumPy, scikit-learn) and experience with BI tools Ability to analyze complex datasets - from internal ledgers to on-chain activity Stablecoin or crypto analytics experience is a big plus Strong communicator More ❯

presenting compelling analysis findings to clients and senior stakeholders Requirements: Proven ability to deliver ML solutions that drive real business value Strong Python/ML stack skills (e.g., scikit-learn, XGBoost, TensorFlow, etc.) Experience working with clients and/or stakeholders – you’re comfortable in a consulting setting Ideally available on a shorter notice period **Please note that More ❯

Deep Learning understanding-both in terms of recent architecture trends + fundamentals of how training works, and experience with machine learning frameworks and their internals (e.g., PyTorch, TensorFlow, scikit-learn, etc.). Exposure to Deep Learning Compiler frameworks-e.g., TVM, MLIR, TensorComprehensions, Triton, JAX. Kernel Experience-experience writing and optimizing highly-performant GPU kernels. Note: For potential candidates More ❯

ML or statistical signal processing 4+ years post-PhD experience applying ML to sequential or sensor data Strong Python development skills and fluency with ML libraries (TensorFlow, PyTorch, scikit-learn) Expertise in time-series analysis, signal processing, or intelligent decision-making Experience leading project teams and delivering R&D for defence, aerospace, or intelligence domains Desirable Skills Experience More ❯

or similar technologies. Experience leveraging AI/ML-driven tools for network performance optimization, anomaly detection, and predictive analytics. Understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in network automation and monitoring. Experience with telemetry and observability frameworks (e.g., Prometheus, Grafana) for real-time network monitoring and troubleshooting. Experience : Minimum of More ❯

Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not a comprehensive More ❯

Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not a comprehensive More ❯

deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that More ❯

REST APIs, and managing databases. The requirements Essential: Python software engineering experience. SQL experience. Happy working in an unstructured, dynamic, and autonomous environment. Bonus: Mastery of SQL, Alchemy, scikit-learn, pandas, and PostgreSQL. Experience designing, building, and managing relational databases. Strong numerate background, i.e. maths, physics, comp-sci, engineering, etc. DevOps exposure: i.e. containerization, continuous integration/deployment More ❯

Job Role : Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level : Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with More ❯

Role: Data Scientist Clearance: TS/SCI Clearance Location: (Washington DC/Northern Virginia) Salary: $160k-$200k + Shares and bonus My client is an innovative company delivering cutting-edge AI and data analytics solutions through an advanced AI platform. More ❯

About Jaja Our Mission: Empowering our customers to buy, borrow, and build-driven by tech, fuelled by data, and built for the future. Our Company Values : C are Deeply, Adapt & Thrive, Challenge everything, Go for it! Own it, Make it More ❯

ML and/or statistical signal processing to sequential data in industry. Experience in Python software development. Experience in ML and deep learning frameworks such as Tensorflow, Pytorch, scikit-learn etc. A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: RF, CEMA, Electronic/Electromagnetic Warfare, Radar Signal Processing, Acoustic Data Processing More ❯

leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong experience with Python and modern ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Proven track record of deploying ML solutions on AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading More ❯

leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong experience with Python and modern ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Proven track record of deploying ML solutions on AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading More ❯

if you are : From a PhD or MSc background in a highly numerate subject with strong experience in NLP & Machine Learning projects Programming skills in Python & knowledge of scikit-learn You can be either a recent graduate or have commercial experience Ideally you will have a background of working within globally renowned research institutions Keen to be part More ❯

a (small) team and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background in statistics and mathematics, showing clear understanding of probabilities; Eye for quality, autonomous and attention to detail; Fluency in English (written and verbal communication) is required More ❯

programmer with a strong command of major machine learning languages such as Python or Scala, and have expertise in utilising statistical and machine learning libraries like Spark MLlib, scikit-learn, or PyTorch to write clear, efficient, and well-documented code. Experience with optimisation techniques, control theory, causal modelling or elasticity modelling is desirable. Prior experience in solving machine More ❯

Computer Science, Physics, Engineering, or Statistics. Deep understanding of systematic equity investing and statistical arbitrage frameworks. Proficient in Python for research and prototyping - experience with ML libraries (e.g., scikit-learn, TensorFlow, XGBoost) is a strong plus. Strong mathematical and statistical skills, with a keen eye for detail and performance optimization. Comfortable working independently and as part of a More ❯