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 »
business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between … with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo Responsibilities About the job As an AI/Machine Learning Scientist at Complexio, you will be responsible for designing, developing, and implementing machine learning models and algorithms that can automate business processes. You … to drive advancements in a range of technologies including Large Language Models, Process Mining and Graph Databases. Key Responsibilities Research, design, and implement machine learning models to solve business challenges. Work closely with software developers to integrate machine learning models into production systems. Stay abreast of the latest 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 »
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 »
to join our growing teams and support a variety of customers: Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deeplearning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or … address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by more »
to join our growing teams and support a variety of customers: Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deeplearning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or … address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by more »
modelling, management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deeplearning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun 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 »
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 »
Salary Negotiable Key Skills: Python, NLP experience and deploying NLP systems The Senior NLP Engineer is responsible for developing AI Labs’ NLP/machine learning platform. In this role, they will write, test, and release code and internal libraries according to the NLP roadmap and release plans. They will … work collaboratively with the Head of Machine Learning Product, application engineering, data science and NLP Tech Lead to set the overall vision, goals, and execution plan. They will also be consulted by customer-facing project leads and data science in the analysis of customer data and development of NLP … models to address clinical or business use cases. Skills Machine Learning, Natural Language Processing (NLP), DeepLearning, building and deploying NLP systems Strong CS fundamentals including data structures, algorithms, and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval techniques Python and more »
Industry Advanced experience in coding with SQL, Python and/or R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and DeepLearning Offer good knowledge of ML Ops (Docker, Kubernetes, CI/CD. Qualified within own personal discipline, with extensive post more »
the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals. This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. Responsibilities … NLP in a commercial setting, ideally for information extraction, entity recognition, etc. Experience working with transformers-based models such as BERT, GPT, etc. Extensive DeepLearning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks more »
the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals. This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. Responsibilities … NLP in a commercial setting, ideally for information extraction, entity recognition, etc. Experience working with transformers-based models such as BERT, GPT, etc. Extensive DeepLearning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks 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 »
Lead Machine Learning Engineer - Full Time On behalf of our Biotech client, we are recruiting for a Lead Machine Learning Engineer. This position has come live due to company growth and the client is looking for a highly technical Machine Learning expert to join them who have … experience with the following... Proven Leadership experience in a highly technical environment Extensive Python experience skilled with deeplearning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer more »
discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, DeepLearning, Statistical Relational Learning, Ensemble Methods Model using more »
discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, DeepLearning, Statistical Relational Learning, Ensemble Methods Model using more »
discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, DeepLearning, Statistical Relational Learning, Ensemble Methods Model using more »
Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and DeepLearning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this more »
Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and DeepLearning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this more »
tools and techniques to enhance the performance and efficiency of blockchain execution environments. Blockchain Integration: Work closely with blockchain engineers to integrate advanced machine learning algorithms, neural networks, and deeplearning techniques into blockchain frameworks. Explore new approaches to enhance blockchain scalability, security, and performance using cutting … Remote work flexibility with a supportive and inclusive company culture. Opportunity to work on cutting-edge projects at the forefront of blockchain and machine learning integration. Continuous learning and professional development opportunities. How to Apply: If you are a talented Rust/C++ software engineer seeking an exciting 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 »
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 »
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 »
across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should … also be proficient in the mathematical underpinnings of deeplearning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement, and … train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute more »
