different data sources and types Commercially astute. Excellent communication, planning and interpersonal skills. What Sets You Apart Software experience with Geospatial technologies Experience with Tensorflow & BigQuery. Comfortable building automated test infrastructure for ML models. WHAT'S IN IT FOR YOU We offer great personal development opportunities and roles with more »
a high-performing, cross-functional team of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and … techniques. Hands-on experience in building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and more »
or relevant certifications are advantageous.Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with data preprocessing, feature more »
or relevant certifications are advantageous.Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with data preprocessing, feature more »
techniques essential for machine learning projects Proficiency in programming languages commonly used in AI, such as Python, C++ and experience with ML frameworks like TensorFlow or PyTorch Experience with version control systems like Git, enabling effective collaboration and code management more »
techniques essential for machine learning projects Proficiency in programming languages commonly used in AI, such as Python, C++ and experience with ML frameworks like TensorFlow or PyTorch Experience with version control systems like Git, enabling effective collaboration and code management more »
at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think more »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
scale natural language processing and generation models Strong proficiency in programming languages such as Python, and familiarity with popular ML/DL frameworks (e.g., TensorFlow, PyTorch) Excellent problem-solving skills and the ability to work independently as well as in a team Strong communication and presentation skills to effectively more »
scale natural language processing and generation models Strong proficiency in programming languages such as Python, and familiarity with popular ML/DL frameworks (e.g., TensorFlow, PyTorch) Excellent problem-solving skills and the ability to work independently as well as in a team Strong communication and presentation skills to effectively more »
development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »
skills in data analysis, deep learning, and machine learning techniques. Proficiency in programming languages like Python and familiarity with machine learning frameworks (such as TensorFlow and PyTorch). Good management and leadership abilities. Strong presentation and communication skills. Experience with computational chemistry software and tools is a plus. If more »
skills in data analysis, deep learning, and machine learning techniques. Proficiency in programming languages like Python and familiarity with machine learning frameworks (such as TensorFlow and PyTorch). Good management and leadership abilities. Strong presentation and communication skills. Experience with computational chemistry software and tools is a plus. If more »
managing a team of Junior Data scientists Proficiency in data forecasting, analysis, prediction, and deriving trading signals from datasets. Extensive hands-on experience with TensorFlow (and/or Keras), scikit-learn, and related tools, coupled with a strong command of Python. Robust analytical and mathematical abilities essential for model more »
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 »
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 »
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 »
or more additional programming languages (Java, JavaScript, C++, Go, C#) is highly beneficial. Experience of machine learning frameworks and toolkits such as sklearn, XGboost, TensorFlow Good cloud skills AWS & Azure Familiarity with Unix and scripting languages. Proficient with Docker working in any container orchestrator such as k8s, OpenShift, Docker more »
ML Models Working closely with ML Engineers A lot of scope for growth and future management! Skills And Experience Required Strong exposure to Python, TensorFlow etc. MLOps knowledge is a nice plus A proven track record leading other engineers Good knowledge of CI/CD is a huge plus more »
ML Models Working closely with ML Engineers A lot of scope for growth and future management! Skills And Experience Required Strong exposure to Python, TensorFlow etc. MLOps knowledge is a nice plus A proven track record leading other engineers Good knowledge of CI/CD is a huge plus more »
demonstrate skills/knowledge such as; Experience within Energy markets (forecasting experience is a bonus!) Experience working across a range of ML models, e.g. TensorFlow and scikit-learn GitHub or Azure DevOps knowledge SQL knowledge is desired Good communication skills are required with the ability to discuss technical matters more »
strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the more »
Machine Learning Engineer (one day a week in the central London office) This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be more »
This is a high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be more »
discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational or customer more »
