26 to 37 of 37 Machine Learning Jobs in Bristol

communication skills and youre hungry to learn new things Youre able to work independently but know when to ask for help Youre interested in Machine Learning and Artificial Intelligence and would like to work with these concepts Location Were looking for someone to join us in our new more »

implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »

Engineering skills. Responsibilities : Play a pivotal role in crafting, enhancing, and managing intricate data ingestion pipelines, ensuring their efficiency, scalability, and dependability. Integrate advanced machine learning elements into data pipelines to elevate data processing and analytical capabilities. Devise and implement data quality metrics and dashboards for monitoring, ensuring … contributions of each member toward our shared objectives. Qualifications : - Experience : A minimum of 3 years' experience in crafting intricate data ingestion pipelines incorporating advanced ML elements. Prior exposure to the insurance domain is advantageous. - Education : A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills : Proficient more »

will have solid embedded skills and some of the following experience: Linux development, especially linux kernel. NXP, Qcom, Renesas chipsets video, computer vision, or machine learning applications. Experience with Yocto. Algorithm development - especially in computer vision.Super opportunity a Senior Embedded Software Engineer to to be part of a more »

The apprenticeship will combine practical work-based learning with formal study. You will gain valuable, real-life experience in a leading international legal practice, working with global clients to enhance your commercial understanding and grow your confidence in a work environment. Role You will have a dedicated study day … and responsive to the evolving nature of future job roles within technology. Data Analyst: Data Structures, Algorithms, Data Management, SQL, Big Data Analytics, Hadoop, Machine Learning, RPA, Neural Networks Software Engineer: Object Oriented Programming in Java, UX, DevOps, JavaScript, Mobile App design and development, Android Development Essential Training more »

people from a variety of backgrounds, but your experience may include some of the following: Extensive experience or knowledge of LLVM/MLIR and ML Compilers Advanced C++ programming skills Proven managerial experience Understanding of Toolchain developmentIf you’re an AI Compiler Manager looking for an exciting new challenge within more »

and business. You'll know "what good looks like". Broad relevant knowledge based; i.e digital marketing, analytics & reporting, customer modelling. Any exposure to machine learning or other sophisticated techniques helpful. A clear ability to translate analytics and modelling into commercial stories that are both sharp in narrative more »

Awareness: Ability to implement security best practices in both DevOps and coding environments. Bonus Skills: Python/PHP/Typescript/ReactJS AI/ML models and usage ETL pipelines in AWS (Glue/Apache Spark) API Load testing If you would like more information on the role or like more »

risk model, ensuring its accuracy, performance, and scalability. Perform complex data analysis to extract insights and identify trends in cyber risk using statistical and machine learning techniques. Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaborate with underwriters, engineers, and cyber risk analysts … and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python & SQL. Experience with big data technologies and tools, particularly Databricks and Pyspark more »

practitioners. We invest in R&D heavily and our innovations team is dedicated to researching ways in which advanced technologies such as AI and machine learning can be deployed by companies solutions. This ensures that our technology continues to lead the way in efficiency, reliability and relevance. They more »

focus as the team grows. To be successful in the role, you will probably have the following experience: Experience as an AI Engineer/Machine Learning Engineer or similar … Hands-on experience developing AI solutions to create value Experience working at a start-up or fast-growing software environment Cloud based AI/ML solutions Python Ideally experience working with big data tech The company have a hybrid working policy and you would need to be able to get more »

and the opportunity to learn new skills? This is a great opportunity to join an established software house in Bristol, who work across data, machine learning and AI. The core languages used here will be C++ and Python, but there will be opportunities to work with Perl, Bash … SQL, Docker, Ansible and a small amount of React front-end development. There is also scope to get involved in the development of machine learning models and some Linux administration. They are looking for a Senior Software Engineer with the following skills/experience: Solid back-end development more »