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 »
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 »
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 »
Models, specifically in Visual Language Models, Large Language Models, Vision Transformers, or Diffusion Models Desired Experience: Familiarity with software libraries and frameworks like PyTorch, TensorFlow, SciKits, Kaldi, OpenCV, and CUDA Background in software engineering and development Relevant experience through internships or research positions in academic or industrial R&D more »
/C++ or other OO programming language Signal processing Image processing algorithms Data processing libraries e.g. Pandas, NumPy, SciPy ML & Big Data libraries e.g. TensorFlow or SKLearn Data communication with external devices using UDP/TCP sockets on POSIX compliant systems. TDD CI/CD Networking and IOT applications more »
project demands.Desirable:Experience with cloud-based Data Science and Machine Learning tools (AWS, Azure, GCP).Proficiency in Python, Jupyter, and popular machine learning frameworks (TensorFlow, PyTorch).Knowledge in Ethical AI principles and their application.About the Company:Our client is a leader in consulting services, known for its distinctive approach more »
project demands.Desirable:Experience with cloud-based Data Science and Machine Learning tools (AWS, Azure, GCP).Proficiency in Python, Jupyter, and popular machine learning frameworks (TensorFlow, PyTorch).Knowledge in Ethical AI principles and their application.About the Company:Our client is a leader in consulting services, known for its distinctive approach more »
project demands.Desirable:Experience with cloud-based Data Science and Machine Learning tools (AWS, Azure, GCP).Proficiency in Python, Jupyter, and popular machine learning frameworks (TensorFlow, PyTorch).Knowledge in Ethical AI principles and their application.About the Company:Our client is a leader in consulting services, known for its distinctive approach more »
mentor team members. REQUIREMENTS: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Demonstrated success in AI solutions for insurance. Proficiency in TensorFlow, PyTorch, Python, Java, and cloud platforms. Understanding of insurance business and regulations. Strong communication and leadership skills. NEXT STEPS: If this role looks of more »
a related field. Strong programming skills, particularly in languages such as Python and C++ Experience with quantitative libraries and tools (e.g., NumPy, SciPy, Pandas, TensorFlow). Solid understanding of financial markets, instruments, and trading strategies. Experience with database technologies and data management (e.g., SQL, NoSQL). Knowledge of machine more »
emerging issues The person Degree in Engineering, Technology, or related fields/equivalent 3+ years in AI solution delivery Experienced in relevant technologies (Python, TensorFlow, Spark, Azure Cloud, Git, Docker) Strong analytical and communication skills This comes with a fantastic salary and full benefits package – happy to discuss in more »
Machine Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. If this role is of interest, please share your CV and we can discuss the role more »
Cambridge, England, United Kingdom Hybrid / WFH Options
IC Resources
industry experience working with ML models for system performance analysis. Strong background with CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at leading NPU, CPU, GPU, semiconductor manufacturer. Knowledge of system modelling/simulation technology more »
performance architecture of NPU/GPU/CPU/AI accelerators ML model training, quantization, sparsity, model preprocessing etc. Software-hardware co-design PyTorch, TensorFlow NCCL, OpenMPI C/C++, Python Verilog, RTL What’s on offer? The succesful Architect is most likely to achieve a six-figure salary more »
Cambridge, England, United Kingdom Hybrid / WFH Options
European Recruitment
Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If you are interested in this Senior Compute Library Engineer 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 »
CUDA Kernel Developer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a CUDA Kernel Developer looking for more »
Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a Compute Library Engineer looking for more »
their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod. TECH STACK: Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate … progressing on critical path, both individually and as a team NICE TO HAVES Distributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow) Productionisation experience on multiple clouds Familiarity with MLOps principles and practices, and their application in a production setting COMPENSATION/BENEFITS : £100k salary (or 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 »
and deploying machine learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication more »
years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/CD, Docker, Kubernetes, and data pipeline tools like Airflow. more »
