76 to 100 of 939 Machine Learning Jobs in England

be tasked with leading the re-write of an existing build. You will be working with: React, TypeScript REST APIs Azure Microservices AI/Machine Learning Benefits💰 Hybrid working Bonus Up to £60k Frontend Engineer | React TypeScript Azure | Manchester - hybrid working If you'd like to find out more »

Data Engineer – Machine Learning Hybrid working - London offices We are seeking a talented Data Engineer/Machine Learning Engineer to join an established business who leverage Data and Data Science methods to effectively improve their business decision making and customers product development. The Data Engineer will … ecosystem, Deep Learning algorithms in Ecommerce or Retail environments is desirable. Responsibilities: The role will remain hands-on, so will develop AI/ML software products using Python. Collaborate with other teams and Senior level management on the ML/AI and Data Science models and projects. You will … relevant standards and procedures are met. Work to Agile best practice. Required Experience: 4+ year's commercial experience in a similar role, Data Engineer, ML Engineer, etc Extensive commercial experience with Python and relevant ecosystem; Pandas, Tensorflow, etc Commercial experience delivering AI/Machine Learning algorithms Commercial experience more »

progressive work environment with significant opportunities for growth. They are looking to make a lot of progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize … machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with data engineers and business partners to gather requirements and drive insights Undertake projects such as forecasting margin after discount, warehouse usage, product demand etc. Be actively involved in the planning of new stores. REQUIREMENTS: Strong more »

and data visualization. Experience in delivering digital transformation projects in the financial sector. Working knowledge of Dynamics365 and Kmine. Familiarity with Generative AI and Machine Learning techniques Excellent stakeholder management skills, including communication and collaboration. An Understanding of SQL and database management, including the ability to design and more »

They aim to combine technology and medicine to improve the lives of patients who are dealing with complex diseases by using clinical data and Machine Learning technology. As a React Developer, you’d be joining their core platform team, having the opportunity to make an impact on the more »

is collaborating with an exciting company that has developed an advanced artificial intelligence platform to support construction and engineering projects. Responsibilities: Create and implement Machine Learning and Computer Vision models, using SLAM based tools and modelling systems Working on Visual SLAM and LIDAR Slam Working as part of more »

Experience working with cross-functional teams Speech to text & Text to speech skills Insurance/Banking industry experience desired but not essential AI/ML experience will be good to have If you have the above skills please APPLY NOW for immediate consideration more »

/.NET Core React, TypeScript C# ASP.NET MVC and REST APIs MS SQL Server VSTS/Azure DevOps/GIT Azure Microservices AI/Machine Learning Benefits💰 Hybrid working Bonus Up to £60k Full stack Engineer | .NET8 React TypeScript Azure | Manchester - hybrid working If you'd like to more »

Greenfield projects ✅ Big on L&D About the role 👩‍💻 The Head of Data has been building appetite and use cases for Data Science and ML over the last 9 months and now are in a position to deliver this work. You'll be responsible for a number of different things … Data retention 🔧Gain a more in depth understanding of regulatory compliance & reporting 🔧Enhance your skills and lead a function using your expertise in developing ML models And outside of the day-to-day projects: Staying on top of industry developments within the business and the Data Science community R&D … new data science offerings and use cases Establishing and implementing best practice Mentoring and coaching other team members What you need 😎 Commercial experience applying ML models Python, SQL or R Any cloud data platforms would be great - AWS, Azure or GCP Any big data technologies like Hadoop would be great more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now what to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy taking decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning more »

and provide support for our Azure platform for Machine Learning, ensuring its continuous availability. Develop engineering solutions for model training, such as ML Pipelines and parallelization. Assist in project and model lifecycle management and packaging using MLFlow. Support the transition of products to higher environments through productionizing and … deployment (e.g., promoting ML Pipelines to Production), leveraging MLOps practices and technologies. Experience & Skills Required Skilled in EDW and big data storage, data provisioning, processing, and pipeline orchestration. Comprehensive understanding of data modeling, possessing expertise and experience in data architecture. Proficient coding abilities in Python, SQL, following best software development … such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores, automated CI/CD, and ML pipelines. Solid experience in source and version controls (Git), as well as linking versions more »

closely with key stakeholders in the health sector, including C-suite executives, to provide data-backed recommendations that drive transformative impact. Applying cutting-edge Machine Learning techniques to optimize Healthcare pricing/logistical strategies, improve forecasting accuracy, and enhance health demand predictions. Spearheading the expansion of the Data … Science team through strategic recruitment, bringing on board top talent to strengthen the company's data capabilities. Nurturing a culture of continuous learning and professional growth, ensuring team members stay abreast of the latest advancements in Health and Data Science domains. Focusing on data-driven commercial approaches, identifying opportunities … focus on Health or related fields. A track record of years in the health sector, with a significant portion dedicated to Data Science and Machine Learning projects. Exeperience working in a Regulated environment. Proven experience in time-series forecasting, pricing, and statistical analysis, with a deep understanding of more »

optimise reports and dashboards for performance and relevance. Conduct peer reviews and document reporting processes in line with governance frameworks. Foster a culture of learning and innovation within the team. Stay abreast of the latest trends and technologies in data and analytics. Utilise tools such as Python, SQL effectively. … Python and SQL for predictive analytics. Advanced knowledge of reporting tools such as Power BI. Desired Experience using SQL Server Reporting Services. Knowledge of Machine Learning techniques and tools. Are you ready to join us? At MoneyPlus we want to create a work environment that inspires you to more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

Design, Business Analysis Agile Transformation Customer Experience/CRM/Contact Centres/Billing Digital Transformation Digital Twin Innovation Data, Analytics, Information Management, AI, Machine Learning Asset Management, Asset Operational Excellence, Capital Asset Lifecycle Management, SAP EAM, IFS EAM, Infor EAM, Oracle EAM, IBM Maximo Product Lifecycle Management more »

to learn, explore and research in new and emerging areas Bonus points: You are interested in data tooling and pipelines You have experience in ML and/or AI About us: Feeld is an independent, experimental and fully remote organisation reshaping the dialogue on dating and sexuality. The company was … Therefore, we offer our staff: Flexible working hours Unlimited paid time off A fully remote working situation GBP £3k equipment and home office budget Learning & development budget On demand therapy sessions and mental health support via Spill In-person meet ups Feeld’s way of working is designed to more »

data 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, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily … 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 »

opportunities and cost-saving measures across the organization. Lead and mentor a team of data analysts and BI specialists, fostering a culture of continuous learning and development with a specific focus. Qualifications: Minimum of five years of leadership experience in business intelligence and analytics. Proven track record of success … BI specialists, fostering a culture of continuous learning and innovation. Preference for candidates with experience in Microsoft Azure, Azure Synapse Analytics, and Azure ML Studio, and experience in integrating various Microsoft technologies for comprehensive data solutions. Additional consideration for candidates with experience in data science and proficiency in Python … for data analysis and machine learning applications. Please share your CV on shivani@thereacthub.com or you can directly call me on +44 2038542459. more »

like HTML, CSS, and JavaScript. Experience with API integration and relational database design (REST/SOAP) Passion for emerging technologies such as AI and Machine Learning. Familiarity with DevOps practices and software development methodologies. Excellent communication and problem-solving skills. The Software Development function is structured into several sub more »

and Synapse. Solid knowledge of Data Governance, Data Catalog, and Master Data Management. Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »

production data from non-production environments with right-sized, production-like data. Since 2018 we have pioneered the generation of production-like data for machine learning and application development across all structured data formats within one platform. Our products are used by some of the world's leading … Bank . We have ambitious growth plans for 2024, and would love you to join us on the journey. 🔍 The Role As a Senior Machine Learning Engineer at Synthesized, you'll work alongside (thoughtful and kind) machine learning and statistics researches from top universities in the … learning and meta-learning. Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Extend existing ML libraries and frameworks 🌱 About You Good knowledge of probability, statistics and algorithms 3+ years of experience in creating high-performance implementations of machine learning more »

and developers to define requirements that align to overall business strategy acting as a liaison between technical and non-technical teams. Spearhead the new machine learning and predictive analytics project, you will have the opportunity to work across Databricks, Azure and Power BI. Using your strong analytical skills … software development and computer science implementation within business environment. Requirements: Strong Track record of working as a BA or Technical BA. Experience with Databricks, Machine Learning or … AI predictive analytics and Power BI. Excellent communication and stakeholder management experience across technical and non-technical teams. Knowledge of Databases, 3-tier architecture, ML/AI concepts and Azure. Knowledge of development practices including the software development lifecycle (SDLC) and software testing principles. (An understanding of code will be more »

in a similar position from a leading prop or hedge fund. Strong coding skills in computer programming languages like Python & C++ Strong knowledge of machine learning If you believe you meet the requirements for the position, please contact me. E: robert.lindsay@venturesearch.com more »

accuracy. Stay up to date with the latest AI technologies and techniques, driving continuous innovation. REQUIREMENTS: Strong software engineering skills, with a focus on machine learning and AI. Experience deploying foundational Language Models (SLM/LLMs) in production environments. Proficiency in deploying machine learning solutions at … search, retrieval, and reranking. Ability to collaborate with various stakeholders, including backend engineers, front-end engineers, and product designers. Additional advantage for experience in ML Ops and deployment across cloud platforms (AWS, GCP, Azure). Practical experience with machine learning techniques for search and retrieval, such as Learning more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »