Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI techniques. Proficiency in AI frameworks such as TensorFlow, PyTorch, or similar. Proven track record of leading technical teams in the development of AI solutions, with strong team-building, mentoring, and coaching skills. more »
machine learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech more »
time series and ensemble models.Experience in manipulating and interpreting data from disparate sources.Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc.Experience with Cloud Computing (AWS, GCP, Azure) – Ideally in AWS.Creativity and innovative thinking to explore diverse data sources for improved predictive models.Desirable more »
and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved more »
proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.DevOps experience in CI/CD.Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.Experience using Python is a must (tools like AWS and Spark are beneficial)Excellent communication skills and team and colleague more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning more »
Vision models, particularly in the context of SLAM.Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction.Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS.SALARY AND BENEFITSCompetitive salary range: 65,000-90,000.Equity ownership in the company.Comprehensive benefits package.HOW TO APPLYPlease register your interest for this role by more »
working in the world of NLP Prior experienced developing generative models BIG love of working on complex, transformational projects Skills with AWS, Python, PyTorch, TensorFlow and Git Excellent communication skills and the ability to work cross-functionally Interested ? Apply now or reach out to daisy@wearenumi.com for further details more »
experience developing and deploying machine learning models in a production environment - ideally in a start-up or scale-up. - Machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). - Python - Big data processing tools (e.g., Spark). The role offers a salary range of between £70-100K depending more »
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
City Of London, England, United Kingdom Hybrid / WFH Options
RJC Group
or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up more »
5+ years of experience in machine learning Prior experience in developing generative models Passion for tackling complex, transformative projects Proficiency in AWS, Python, PyTorch, TensorFlow, and Git Strong communication skills and the ability to collaborate cross-functionally Excited about the opportunity? Apply now or connect with daisy@wearenumi.com for more »
security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python more »
manner -Must know CI/CD pipelines and Agile frameworks, preferably with the MLOps context. -Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual more »
AI Deep understanding of ML algorithms, DL architectures, RL Insight into generative models, transformer architecture, and training of LLMs Proficiency in Python, familiarity with TensorFlow, PyTorch, Hugging Face transformers and LangChain Effective communication, especially in explaining AI conecpts to non-technical stakeholders NEXT STEPS Interested in the vacancy? We more »
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
working in large and complex Data Driven environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, R, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes more »
Must know CI/CD pipelines and Agile frameworks , preferably with the MLOps context . -Understanding or familiar with technologies such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. HOW TO APPLY Please more »
deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance and reliability more »
Language Processing (NLP) and deep learning, with a history of groundbreaking contributions. Exceptional technical proficiency in relevant programming languages and frameworks, such as Python, TensorFlow, PyTorch. Outstanding strategic thinking, communication, and collaboration skills to effectively engage with cross-functional teams. Demonstrated ability to independently lead and execute complex projects more »
Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchDemonstrable experience of managing/mentoring more junior members of the team Understanding of the core concepts of probability and statistics and familiarity more »
Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio, Docker, Kubernetes etc).Applied Analysis and Insight· Understand enterprise-wide business-processes, IT systems and data· Designs data flows and more »
architecture, including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP). • Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery more »
