LondonApplied Science/Full time/HybridUnlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial 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 »
Quantitative AnalystUse AI driven technology to innovate automated statistical tools for high-speed trading within the sports market!As a Quantitative Analyst on the team you will work alongside some of the brightest minds in the fintech space, and upon more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
be:technology
in a commercial setting. Programming Skills: Proficiency in programming languages such as Python, C++ , and experience with computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid 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 »
Manchester, 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 »
Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle … this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance more »
Data Scientist Up to £50,000 Gaming Company - Mobile and App! Full-Time in the Office A Game Development Company renowned for its popular sports games are hiring for a Data Scientist to sit within their growing Data Science team more »
power ASIC design. Responsibilities: Lead power modeling and analysis efforts for GPU products across various product lines and nodes Optimize power bins and develop TensorFlow models for accurate power estimation Collaborate with pre- and post-silicon teams to ensure seamless chip integration Apply compiler engineering expertise to enhance power … in IC design, with expertise in RTL/netlist power simulations and clock tree analysis Proficiency in power optimization techniques, power bin optimization, and TensorFlow modeling Experience in compiler engineering and its application to power architecture Excellent problem-solving, communication, and leadership skills Ability to work collaboratively in a more »
or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). more »
within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage strategies, with examples of applying Machine Learning techniques for predictive analytics. more »
top scientists, engineers, and designers in the company. Machine Learning Engineer - Ideal skillset would include: Top Academics in a relevant field Strong knowledge of TensorFlow, PyTorch, Keras and Scikit-Learn Ideally 1+ year professional experience as a Machine Learning Engineer Research minded and experimental approach to problem solving This more »
Skills: Individuals in this role are expected to be accomplished in computational biology or machine learning. Experience using a deep learning frameworks like PyTorch, Tensorflow and/or Jax. Experience with any of the following biological topics would be a plus; Cryo-EM/ET data analysis: denoising, filtering more »
Cheltenham, England, United Kingdom Hybrid / WFH Options
Yolk Recruitment Ltd
superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). more »
Cambridgeshire, England, United Kingdom Hybrid / WFH Options
IC Resources
GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor manufacturers. What’s on offer Competitive Salary (£120k) Hybrid working more »
related field, or a Bachelor's degree with relevant experience. Proven experience in machine learning model development and deployment, particularly with deep learning frameworks (Tensorflow, PyTorch, etc.). Strong understanding of speech recognition, natural language processing (NLP), and their applications in facial animation. Experience working with audio data processing 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 PyTorch Knowledge of common supervised and unsupervised learning techniques Experience in Software Engineering, including programming in Python Technical experience of cloud architecture, security more »
About the role At AXA, we're transforming the customer “insurance claim” journey by deploying machine learning models so that we get faster and improved decision making at key interaction points. This role is essential to the Advanced Claims Analytics 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 PyTorch Knowledge of common supervised and unsupervised learning techniques Experience in Software Engineering, including programming in Python Technical experience of cloud architecture, security 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 »
solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with 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 PyTorch Knowledge of common supervised and unsupervised learning techniques Experience in Software Engineering, including programming in Python Technical experience of cloud architecture, security 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 »
Gas Industry - Minimum 5 years of Hands-on experience in implementing successful AI projects in the Gas Processing sector - Strong programming skills in Python, TensorFlow, and PyTorch - Experience with reinforcement learning and generative AI (LLM) models - Experience with natural language processing (NLP) and AI Computer Vision - Excellent communication and … as a Gas Processing AI Engineer or in a similar role - Strong knowledge of machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch) - Strong knowledge of plant networks and infrastructure requirements to deploy and scale AI in gas plants - Proficiency in programming languages such as Python more »
Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau more »
