production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering principles. You have worked with common python frameworks (Numpy, Pandas) Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). Strong foundation in classical machine learning and applied modeling techniques , including regression More ❯
ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day Outside IR35 6 months rolling contract Remote, LDN Data Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus More ❯
City of London, Greater London, UK Hybrid / WFH Options
VirtueTech Recruitment Group
ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day Outside IR35 6 months rolling contract Remote, LDN Data Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus More ❯
and deliver measurable business outcomes. What Youll Bring Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). Strong leadership in project delivery, architecture, and technical decision-making. Excellent communicator, able to simplify complex ideas for any audience. More ❯
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 practices Object Orientated More ❯
Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding More ❯
City of London, Greater London, UK Hybrid / WFH Options
Areti Group | B Corp
design, production-grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit youll use Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/ More ❯
City of London, Greater London, UK Hybrid / WFH Options
Aspect
Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain More ❯
maintainable code and capable of building scalable, efficient solutions. Key Responsibilities: Develop, test, and maintain Python-based applications and scripts. Perform data cleaning, transformation, and analysis using Pandas and NumPy . Design and implement modular, reusable, and testable code following best practices. Collaborate with cross-functional teams to integrate data and software components. Utilize version control tools (Git) for code … generators, and error handling . Proficiency in managing virtual environments and package dependencies using tools like pip and venv. 2. Data Manipulation & Analysis Hands-on experience with Pandas and NumPy (knowledge of Polars is a plus). Skilled in data cleaning, preprocessing, handling missing values , and performing complex data operations such as grouping, merging, pivoting, and aggregations . Working knowledge More ❯
