51 to 75 of 457 Machine Learning Jobs with Remote Work Options

are told to tier 1 and tier 2 insurers globally. Their software and enterprise products leverage SaaS, Cloud, Data Management, Analytics as well as Machine Learning and AI and is built with Angular front end, with C# .NET Core Microservices hosted on Azure.. They are now looking for more »

ll be developing out their MLOps system all greenfield projects. Lead the development and deployment of end-to-end Ops pipelines supporting the entire ML lifecycle. Drive initiatives for CI/CD automation, enhancing development efficiency. Be the main point of contact, presenting technical work effectively to multiple internal teams more »

ML Systems Performance Analysis - AI Accelerator I am seeking someone experienced in Systems Performance Analysis, specifically using performance simulators to develop benchmarks and to analyse and identify bottlenecks in NPUs/AI Accelerators. Must be able to work closely with HW and SW teams to provide optimisation recommendations by understanding … performance opportunities on current processor architecture. Based in Cambridge on a hybrid basis. Primary Responsibilities Using ML models to carry out performance analysis on NPUs. Working closely with the modelling and performance teams utilising the simulator for NPU performance analysis. Pinpointing problems in the HW/problems in the compiler … performance analysis for NPUs/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 more »

Job Title: Machine Learning (ML) Engineer Location: Hybrid (with travel to Manchester and London) Employment Type: Permanent Salary: Up to £65,000 per annum plus equity About the Company: Our client is an innovative AI startup operating in the Insurtech sector, focusing on the smart contract parametric insurance … landscape. Recently funded and on the path to rapid, scalable growth, they are looking for a talented ML Engineer to join their team and contribute to their journey. Role Overview: As an ML Engineer, you will play a critical role in developing and implementing machine learning models to … and optimise data pipelines Implement data governance and data management best practices Work with AWS tools, including Glue and SageMaker, to build and scale ML solutions Ensure the scalability and performance of machine learning solutions Participate in code reviews and contribute to the improvement of the development processes more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

to help grow and develop the Data environment. Skills & Experience: · Highly organised and has experience in running projects. · Highly competent with MSSQL · Predictive modelling · Machine learning · Version Control, CI/CD, Python, Base SAS & Power BI (desirable) Package: · Up to £65,000 basic salary · Bonus opportunity · Remote working more »

is a fully remote company with staff in the UK, Ireland and the USA. Role Description This is a contract (remote) position for a Machine Learning/AI Engineer in Generative Music at Wavetick. You will be responsible for developing and implementing machine learning algorithms and … models, conducting data analysis, and optimising algorithms for performance and accuracy. You will collaborate with cross-functional teams to design and deploy machine learning solutions and contribute to the development and testing of our overall platform. We are a fully remote company but are ideally seeking a candidate … based in the UK or Europe, due to the majority of our staff working primarily in GMT. Responsibilities Develop and deploy machine learning models that serve as the backbone for ethical AI driven generative music. Evaluate and integrate new datasets to improve model training and performance, ensuring a more »

end development and deployment. • Experience in technologies such as Unity, WebGL, Three.js, and Flask. • Coding skills in JS, Rust, Python, C#. • Experience in deploying ML models. more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … an office based in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team … Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity with web development (Fast more »

Senior Product Manager – for Data Science/ML Scale up In Renewables & Environmental Tech Full Remote – UK based - £85,000 to 100K + benefits + share options My client is looking for a Data/ML/AI Product Manager with a Computer Science Degree background/masters/PHD … ecology and sales colleagues Working cadence and collaboration across all teams when necessary Requirements Demonstrable extensive product management experience across full-lifecycle Strong Data & ML product development and product management and how to help build new products, create innovation and solutions alongside the R&D group. Come with strong product … analytics and also some experience creating business plans and financial forecasts to evaluate product trade offs and (Benefit/Analysis) Ideally come from a Machine learning or data science Product background and some Ecology/Biodiversity, geo-spatial experience would be nice to have or even some c more »

Photoshop, Illustrator ). Knowledge of version control systems ( GIT ) and CI/CD processes ( Azure Devops preferred). Bonus Points: Experience with AI/ML technologies, REZ package management, and Unreal Engine. Familiarity with OEM CAD and complex data sets. Experience in the automotive industry. The agency is offering a more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related more »

We are seeking a Deep Learning Quantitative Researcher to join one of our systematic client remotely. In this role, you will be at the forefront of developing and implementing advanced deep learning models to drive investment strategies and enhance our quantitative research capabilities. Responsibilities: Conduct research and develop … deep learning models for predicting financial markets, including but not limited to time series forecasting, natural language processing (NLP), and image analysis. Collaborate with portfolio managers and traders to identify alpha-generating strategies and optimize trading algorithms. Stay abreast of the latest developments in deep learning, machine learning, and quantitative finance research, and apply cutting-edge techniques to solve complex financial problems. Analyze large datasets to extract meaningful insights and identify patterns that can be used to inform trading decisions. Work closely with our technology and data engineering teams to deploy and integrate deep learning more »

You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D … AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project … with Computer Vision models, 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. more »

ideally Windows Azure Bachelor's degree or equivalent experience in Computer Science or related field Desirable Skills or Exposure AI and Large Language Models Machine Learning Big Data The Package Salary £55-65K per annum (depending on experience). Remote & Physical Office (usually 1 day per week more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »

using dbt, integrating data from diverse sources both internal and external Create tools and processes for data integration, transformation, and the operational deployment of ML/AI models Innovate and enforce data security measures, including row-level security and data tokenization Continuously identify and resolve data integrity and quality issues … SQL-based technologies (e.g Snowflake, dbt) and NoSQL technologies (e.g. Neo4j) Fluency in Python Commercial experience supporting deployment of machine learning algorithms (ML Ops) YOU'LL WORK WITH In this role, you'll work with diverse teams across functions, geographies, or business units depending on project needs. Key … days a week in office presence. This provides flexibility the remaining 40% of the work week. This hybrid work plan allows for critically important learning, collaboration and networking with our colleagues. Specific days in the office are agreed upon by the team. more »