26 to 48 of 48 scikit-learn Jobs in the Thames Valley

to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering More ❯

and mentoring a team of talented data scientists. What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) 📈 Experienced project lead with strong technical decision More ❯

ICCV, or ECCV). Deep experience with modern vision architectures such as YOLO , Vision Transformers , and EVA . Strong command of Python and core ML libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Familiarity with MLOps practices and evaluation metrics (Accuracy, Recall, F1, IoU, etc.). Excellent communication and problem-solving skills; ability to engage with both technical More ❯

NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to build systems that More ❯

user experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms More ❯

or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as More ❯

operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer visa sponsorship If you’re More ❯

Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance and compliance frameworks (GDPR, CCPA). Thrive in fast More ❯

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of competition. Thi... More ❯

internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python and common ML libraries (e.g. scikit-learn) Curious, pragmatic, and driven to solve real-world problems with high social impact Passionate about the intersection of data science, insurance, and climate resilience If this role interests More ❯

want people to have a major say and influence on projects. Technical Skills: Python - strong knowledge required Experience working across a range of ML models, e.g. TensorFlow and scikit-learn Commercial experience working on short-term forecasting markets, across either energy, power or financial markets. GitHub or Azure DevOps knowledge is desired SQL knowledge is desired The successful More ❯

models. Deep understanding of mathematical and statistical modelling, including complex probability distributions and stochastic methods. Highly proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing More ❯

ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the More ❯

For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing … right in. Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing … right in. Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company … right in. Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that More ❯

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be More ❯

MLOps Platform Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a MLOps Platform Engineer to design, implement, and scale the infrastructure that supports high-performance machine More ❯

MLOps Platform Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a MLOps Platform Engineer to design, implement, and scale the infrastructure that supports high-performance machine More ❯

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of competition. This is … a relevant field for Data Science 2+ years development experience in Python and machine learning techniques (production or laboratory) Strong knowledge of Python data science packages: Pandas, numpy, scikit-learn, pytorch Experience with Machine Learning techniques: Neural Networks, XGBoost Understanding of pipelines and deployment technologies: Azure DevOps, Docker, GitHub Actions Good understanding of architecture and design patterns Excellent More ❯

a curiosity for learning, a drive to deliver projects brilliantly, and a belief that together we make a difference. Using your expertise in Azure Machine Learning, Python (pandas, scikit-learn) and Azure SDKs, you will help shape our Data & Productivity capability—designing, training, and deploying models with MLflow/AutoML, and integrating them into real business processes. You … governance across the ML and AI lifecycle. Experienced in designing, training, registering, and deploying models using Azure Machine Learning (AML), AutoML, and MLflow. Proficient in Python, pandas, and scikit-learn for data science and feature engineering, with a strong focus on rigorous validation and experiment tracking. Skilled in deploying models to real-time REST endpoints and orchestrating batch More ❯

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that More ❯