101 to 125 of 380 Machine Learning Jobs in England with Remote Work Options

Data Scientist Salary: Up to £70,000 LONDON Join a dynamic team of Data Scientists! COMPANY PROFILE Through the power of Data Science/machine learning, our client leverages data and delivers at a rapid speed! Their collaboration with top-tier companies validates our competitive advantage, which stems … of forecasting systems and contributing to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in more »

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety more »

Specialist will have hands-on knowledge of FDA regulations, ISO standards & SaMD - as well as proven experience working with medical devices that use AI & Machine Learning. The purpose of this role is to provide expert advice and guidance on FDA approvals and 510(k) submissions. The Company The Regulatory … Affairs Specialist/RA Specialist will join an innovative Machine Learning MedTech start-up based-in Cambridge. The Regulatory Affairs Specialist/RA Specialist will contribute to a supportive team environment, which rewards hard work and innovative thinking. The current work pattern in place is fully remote. Benefits … completing submissions through 510(k) regulatory pathways Strong knowledge of SaMD (Software as a Medical Device), ideally with experience of radiology and AI/Machine Learning Further experience of UKCA and CE marking, as well as working with multi-disciplinary technical teams is advantageous The list above is more »

Learning Engineer - Contract - Outside IR35 Spinks have partnered with an early, stage VC-Backed Healthcare start-up who are seeking an experienced ML Engineer to join them on an initial 3 month basis as they build out their team. Skills we're looking for: Prior proven experience in … an ML Engineer role, especially using LLMs. Experience with Python, C# & Azure. Exposure to Vue.JS would be beneficial but non-essential. Exposure to working in early stage start-ups or the healthcare industry are also beneficial. The contract details: 3 Month initial engagement - potential extensions Fully remote (UK) - office is more »

ML/LLVM Compiler Engineer Exciting Blockchain Compiler Role/Remote working/Token equity on offer! An ML/LLVM Compiler Engineer is required to join an exciting ML powered Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My … learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/LLVM Compiler Engineer role, we’re interested in people from a variety of backgrounds, but your experience may include some of the following: Extensive … OR GCC Advanced C++ programming skills Understanding of Paralell Programming and Distrubuted Systems Added Bonus - Strong willingness to learn Rust If you’re a ML/LLVM Compiler Engineer looking for an exciting new challenge within a great company, then please apply today to learn more! To find out more more »

America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been running for over 7 years. more »

functional specifications across multiple functions Construct SQL queries, report and visuals, using technology like Tableau, for exploratory data analysis Develop and test models using ML model to generate predictive insights Essential Criteria must be clearly demonstrated on CV In depth commercial experience with Azure, AWS or Google Cloud IaaS/… PaaS in area of data preparation/integration and ML model constructions. Experienced with structured and unstructured data and proficient with good with Hypothesis formulation, data preparation and model building. Experience in combining qualitative and quantitative datasets. Experienced in either programming languages such as Python and/or R, data … Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest more »

business growth and solve complex challenges. They are seeking an experienced Lead Data Scientist with experience in leading, designing and delivering data & AI/ML products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools … with a strong track record of leading and delivering advanced data science projects. Programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure … Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving more »

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

level and low-level design automentation Fsmiliarity with Agile/DevOps software development methodology Familiarity with CI/CD and pipeline automation Familiarity of machine learning principals/pipelines and associated toolsets such as Pytorch and Tensorflow Familiarity with Azure, AWS, GCP products and services - Knowledge of technologies more »

environment that banks operate within, such as regulatory developments for: Basel 3.1; Climate risk; and Artificial intelligence/machine learning (AI/ML). In this role, you will: Review and opine on existing and proposed regulatory policy on wholesale credit risk. Lead the process to develop regulatory more »

artificial intelligence principles and techniques Proficiency in programming languages commonly used in AI research, such as Python or TensorFlow Experience in developing and deploying machine learning models Familiarity with deep learning frameworks and methodologies Strong analytical and problem-solving skills Ability to thrive in a fast-paced more »

teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data modelling, and data governance. more »

/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for more »

Learn more about our culture here.[Link to careers page.] Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

the instructions. For a further discussion, please contact Sam Stark - 83Zero 83DATA is a boutique consultancy specialising in Data Engineering and Architecture | Data Science (ML, AI, DL) | Data Visualisation | RPA within the UK. We provide high quality interim and permanent senior DATA professionals. Placing the people behind the DATA more »

the instructions. For a further discussion, please contact Sam Stark – 83Zero 83DATA is a boutique consultancy specialising in Data Engineering and Architecture | Data Science (ML, AI, DL) | Data Visualisation | RPA within the UK. We provide high-quality interim and permanent senior DATA professionals. Placing the people behind the DATA more »

generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined more »

and the ability to drive innovation with autonomy and exceptional technical acumen. The ideal candidate will be a visionary in the Artificial Intelligence and Machine Learning landscape, adept at identifying and capitalizing on emerging trends to shape our strategic direction. Core Responsibilities : Serve as a thought leader in … junior engineers to enhance their technical skills, fostering a culture of continuous learning and professional growth. Collaborate closely with cross-functional teams , including ML Engineers, Data Scientists, and Product Managers, to architect, refine, and deploy sophisticated AI solutions. Act as an ambassador of innovation , delivering keynote speeches, hosting webinars … years’ experience as an engineer, designing and executing large-scale solutions in cloud environments, ensuring seamless integration with legacy systems. S trong AI and ML principles , with a track record of model development, deployment, and mastery of MLOps practices. Experienced in crafting enterprise-scale cloud-native AI/ML solutions more »

testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs and code. Aid verification teams in integration, defect analysis, and resolution. Manage assigned stories and tasks … Skills, Qualifications, and Experience: Proficiency in C++ development with expertise in multi-threaded design. Strong background in signal processing and/or AI/ML techniques. Familiarity with UML design techniques and the entire software development lifecycle. Exposure to machine learning is advantageous. Knowledge of Python and packaging … skills with meticulous attention to detail. Exceptional communication and collaboration skills. Ability to thrive both independently and within a team environment. Proactive approach to learning and continuous improvement. If you're ready to represent an international defence business and contribute to global security efforts, we invite you to apply. more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

processes, data wrangling methods, models, data structures, and data formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python … engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant subject or … equivalent experience/learning developed in a similar role (e.g., Data Science, Computer Science, Information Technology, Engineering, or related discipline). For the purposes of this job description equivalent experience would be management and technical experience in a similar sized and complex organisation, successfully providing the necessary drive, leadership more »

performance of existing data pipelines depended upon by production software applications. · 5+ years of data engineering experience for big data, data analytics, reporting, and machine learning solutions with advanced SQL knowledge. · Proficient in designing and developing data models for simulated and acquired data. · Experience with Data Warehouse, Data … analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Understanding of AI/ML/Data Structure and knowledge of graph theory an advantage. Experience in GIS and spatial analysis is highly desirable . · Strong SQL skills for spatial more »