Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has led teams in developing timeseries models and dealing with numerical data. Responsibilities: Implement machine … learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical … predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for medical devices. Ensure compliance with relevant regulatory guidelines and adhere to industry standards and best practices in medical device innovation. Stay updated more »
Brighton, England, United Kingdom Hybrid / WFH Options
15gifts
The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in computing … responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure … in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deeplearning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the more »
Employer” as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift … used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop …/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience with one or more »
their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work on a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create … and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply software engineering principles Work cross functionally across the business What you need to … Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement machine learning and software best practices Ideally exposure to deeplearning approaches and frameworks Unfortunately sponsorship is not provided for this role If this more »
Looking for a deeplearning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deeplearning frameworks such as PyTorch or TensorFlow will also more »
order book, we are looking for 2 graduates in the above disciplines join our team and help drive the adoption of machine vision and deeplearning in the manufacturing industry. We are looking for people who have a passion in this area. You will be part of the … you will be able to influence your future development and enjoy Staying up-to-date on industry trends and advances in machine vision and deeplearning technology to identify new opportunities for our clients. What will you be doing? You’ll provide creativity and problem-solving skills to more »
interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative … strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deeplearning, reinforcement learning, and other generative AI more »
Lead Machine Learning Engineer Up to £95,000 + 10% bonus, car allowance and benefits West London - 1-2 days a month This is a chance to join an Telecomms company help build and deploy impactful models and work with cutting-edge technologies. They are looking for a Lead … and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deeplearning and neural networks to support core internal projects Part of a team of 7 reporting to the Head of Data Science Chance more »
Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. Experience Requirements: Advanced degree (Master’s or … PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deeplearning frameworks such as PyTorch. Familiarity with cloud tools like Docker and Azure. Experience with CI more »
API gateways and external services Database systems (e.g. MS SQL, MySQL, PostgreSQL) CI/CD processes (Azure DevOps) Data analysis, manipulation, transformation, and visualisation Deeplearning and AI modelling tools and techniques An understanding of Security by Design Principles Multi-tenant application design with role-based access controls more »
Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deeplearning techniques to quantitative trade research. Joining a … leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deeplearning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications … proof of concept solutions, running experiments, developing techniques and writing high-quality code to support the research output. Requirements: PhD or masters in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit more »
targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deeplearning and advanced machine learning techniques more »
to contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art DeepLearning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research … areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company … quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and DeepLearning techniques to develop original solutions to world wide problems. We tend to look for people with: A Masters or more »
Science is pivotal to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing … rent payment fluctuations. How can we cluster repair jobs to provide root cause insights and next best actions. Building recommendation systems, including testing reinforcement learning approaches, to support optimised rent collection Taking labelled data and supervised learning approaches, to generate optimal contact strategies for multi-channel tenant engagement … folks to work with - though we would say that! What qualifications and experience are we after? Ideally a Masters degree in Data Science, Machine Learning, Artificial Intelligence, or similarly related and quantitative discipline. Merit and above would be great. Circa 5+ years of serious commercial experience working on a more »
Are you an experienced Senior Machine Learning Engineer who wants to work in a team at the cutting edge of engineering sustainability? Our client is on a mission to empower engineers to use AI to overcome their most difficult physics and design challenges and build truly great products. With … years, are growing globally (50 employees and counting), and have ambitious plans to expand. In light of this, they are recruiting a Senior Machine Learning Engineer to continue their growth and improve the capabilities of their products. This well-funded company was founded in 2016, and provides a no … the office 3 days per week. It’s an exciting time to join this ambitious team!! WHAT YOU'LL BE DOING As Senior Machine Learning Engineer, you will sit within the company's Data Science team and report to the Director of Engineering. Their Machine Learning stack runs more »
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 a fit! About Bench We’re on a mission to build the … new technologies and operate in highly unpredictable settings. Proven ability to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deeplearning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a more »
e.g., cognitive communications, radar, electronic warfare (EW), spectrum sensing, SIGINT). The Leidos EW Division performs on programs that include advanced signal processing, machine learning, optimization, detection & estimation, deeplearning, and adaptive decision and control. The systems engineer will be key to expanding technical concepts into working more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
the kind of environment where you can thrive, keep reading! Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer … Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 5. Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance … nature of the government contracts we support. Preferred Qualifications Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in more »
