Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Oho Group Ltd
MachineLearning Engineer - Top Software Company for Amazon, Pfizer, Intel, etc. (Remote but once a fortnight in Cambridge) Join a Cutting-Edge Team as a MachineLearning Engineer. Are you passionate about the limitless potential of AI and MachineLearning … force in shaping the future of AI technologies. We're looking for AI/ML -focused software engineers to pioneer and expand the MachineLearning initiatives from the ground up. What You'll Do: Join an innovation team and utilize existing AI services, models, and algorithms … Java, etc. Experience managing large data sets and databases. Thriving in a start-up environment. Familiarity with cloud platforms (AWS, Google Cloud, MicrosoftAzure). Understanding of DevOps tools and processes. MachineLearning Engineer Benefits: Hybrid remote (2 times a month in Cambridge more »
Cheltenham, Gloucestershire, South West, United Kingdom
Searchability NS&D Ltd
enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in MachineLearning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV … the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machinelearning in Defence/Security, public sector, or academia Proficiency in various machinelearning architectures and models Methodical … problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and MachineLearning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machinelearning, and more »
data collection and preparation, model training and deployment, model prediction and post processing You use the following technology components: AzureMachineLearning, Azure Data Factory, Azure Data Bricks, Azure Data Lake You implement ML … build and release pipelines You actively promote knowledge exchange in the wider Energy Markets community Qualification Minimum 1+ years experience of using the Azure technology stack (see above) Minimum 2+ years … experience in Python coding Minimum 1+ years experience in time series forecasting. Strong technical capabilities around technologies such as: AzureMachineLearning, Azure Data Factory, Azure Data Lake, Azure Data Bricks Ability to work more »
Job Overview The MachineLearning (ML) Developer will work as a member of the Insight team in the Group Data and Analytics Function. They will be responsible for two areas of deliverables; developing machinelearning models and utilising large language models to … generate and augment data. The successful candidate will be tasked with overseeing machinelearning projects from inception to completion, with a focus on enhancing Mitie's operational efficiency and sales performance. Main Duties Develop and deploy machinelearning models using Python and … clear and concise manner. What we are looking for Essential: A Bachelor's or Master's degree in a STEM subject. Proficiency in machinelearning algorithms and techniques, with substantial experience in Python and R. Experience querying data with SQL. Knowledge of natural language processing methods. more »
including engineers, data scientists, designers, and business stakeholders, to bring our AI strategy to life. MAIN DUTIES Designing, developing, and training scalable AI & MachineLearning models, optimizing for efficiency and scalability, deploying and monitoring models in production, and integrating AI into existing products and services. Implement … and optimise models utilising deep learning, reinforcement learning, natural language processing, and computer vision techniques. Evaluate model performance, tune hyperparameters, and conduct continuous improvement to ensure optimal performance of AI/ML solutions WHAT WE ARE LOOKING FOR You will be able to demonstrable experience in … developing and deploying AI, ML, and Data solutions. Expertise in supervised and unsupervised learning algorithms, programming languages and machinelearning libraries and frameworks (Python, R, TensorFlow, PyTorch), large datasets Experience working on cloud platforms, preferably Azure, and familiarity with key Azuremore »
data collection and preparation, model training and deployment, model prediction and post processing You use the following technology components: AzureMachineLearning, Azure Data Factory, Azure Data Bricks, Azure Data Lake You implement ML … build and release pipelines You actively promote knowledge exchange in the wider Energy Markets community Qualification Minimum 1+ years experience of using the Azure technology stack (see above) Minimum 2+ years … experience in Python coding Minimum 1+ years experience in time series forecasting. Strong technical capabilities around technologies such as: AzureMachineLearning, Azure Data Factory, Azure Data Lake, Azure Data Bricks Ability to work more »
data collection and preparation, model training and deployment, model prediction and post processing You use the following technology components: AzureMachineLearning, Azure Data Factory, Azure Data Bricks, Azure Data Lake You implement ML … build and release pipelines You actively promote knowledge exchange in the wider Energy Markets community Qualification Minimum 1+ years experience of using the Azure technology stack (see above) Minimum 2+ years … experience in Python coding Minimum 1+ years experience in time series forecasting. Strong technical capabilities around technologies such as: AzureMachineLearning, Azure Data Factory, Azure Data Lake, Azure Data Bricks Ability to work more »
Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions on cloud platforms. Architect, implement, and deploy machinelearning models and AI applications. Cloud platform selection and configuration: Evaluate different cloud platforms (such as AWS, Azure, or … compliance with data governance standards. Model training and optimization: Collaborate with data scientists to train and fine-tune AI models using cloud-based machinelearning frameworks. Implement techniques such as distributed training and hyperparameter tuning to optimize model performance and accuracy. Model deployment and integration: Deploy … degree in computer science, engineering, or a related field. Previous experience in AI engineering, cloud computing, or related roles is preferred. AI and machinelearning expertise: Strong understanding of AI and machinelearning concepts, algorithms, and frameworks. Experience with popular machinemore »
data collection and preparation, model training and deployment, model prediction and post processing You use the following technology components: AzureMachineLearning, Azure Data Factory, Azure Data Bricks, Azure Data Lake You implement ML … build and release pipelines You actively promote knowledge exchange in the wider Energy Markets community Qualification Minimum 1+ years experience of using the Azure technology stack (see above) Minimum 2+ years … experience in Python coding Minimum 1+ years experience in time series forecasting. Strong technical capabilities around technologies such as: AzureMachineLearning, Azure Data Factory, Azure Data Lake, Azure Data Bricks Ability to work more »
data collection and preparation, model training and deployment, model prediction and post processing You use the following technology components: AzureMachineLearning, Azure Data Factory, Azure Data Bricks, Azure Data Lake You implement ML … build and release pipelines You actively promote knowledge exchange in the wider Energy Markets community Qualification Minimum 1+ years experience of using the Azure technology stack (see above) Minimum 2+ years … experience in Python coding Minimum 1+ years experience in time series forecasting. Strong technical capabilities around technologies such as: AzureMachineLearning, Azure Data Factory, Azure Data Lake, Azure Data Bricks Ability to work more »
data collection and preparation, model training and deployment, model prediction and post processing You use the following technology components: AzureMachineLearning, Azure Data Factory, Azure Data Bricks, Azure Data Lake You implement ML … build and release pipelines You actively promote knowledge exchange in the wider Energy Markets community Qualification Minimum 1+ years experience of using the Azure technology stack (see above) Minimum 2+ years … experience in Python coding Minimum 1+ years experience in time series forecasting. Strong technical capabilities around technologies such as: AzureMachineLearning, Azure Data Factory, Azure Data Lake, Azure Data Bricks Ability to work more »
Data Scientist My client is looking to recruit a Data Scientist who has a strong background in data engineering, machinelearning, and cloud computing. You will be responsible for designing, developing, and deploying data pipelines and models using Azure tools like Data Factory … and Fabric. Key responsibilities Design, build, and maintain scalable and reliable data pipelines using Azure data Factory and Fabric Apply machinelearning techniques and algorithms to analyze large and complex data sets Develop and deploy data models and solutions using Azuremachinelearning service and other Azure tools Optimize and monitor the performance and quality of data pipelines and models Communicate and present data findings and insights to internal and external stakeholders Requirements At least 3 years of experience as a more »
working of LLMs. Good to have hands on experience of Generative AI Models & its' applications. Experience delivering and maintaining productionized end-to-end MachineLearning solutions, form data preparation, experimentation, model training, model serving, and model update. Utilize MLOps methodologies to streamline the development, deployment, and … monitoring of machinelearning models. Collaborate with data scientists, ML engineers, and other stakeholders to transition prototypes to production. Optimize and refine algorithms to improve performance and functionality. Ensure integration of AI solutions into cloud platforms such as AWS, Azure, or GCP. Stay … updated with the latest AI, LLMs, MLOps, and machinelearning trends, techniques, and best practices. Ensure the robustness, scalability, and reliability of AI solutions. Experience in implementing CI/CD pipelines using Azure DevOps/TFS. Provide technical leadership and mentorship in AI more »
We are seeking a highly experienced and versatile individual to spearhead the development and delivery of our cutting-edge Artificial Intelligence and MachineLearning initiatives. This is a unique opportunity to shape the curriculum and training approach for a dynamic and rapidly growing organization. Key Responsibilities … Design and develop comprehensive skill-building programs addressing various aspects of AI, MachineLearning, Deep Learning, Data Science, and related technologies. Lead and mentor a team, providing guidance and support to ensure consistent delivery of high-quality training Stay up-to-date with the … learn Expertise in cloud platforms for model deployment, such as AWS (e.g., SageMaker), GCP (e.g., Cloud AI Platform), or Azure (e.g., AzureML), and related tools Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes Understanding of data versioning, data lineage, and model explainability techniques more »
, i.e. Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics, AzureMachineLearning, Azure Data Lake, Azure Cognitive Services, Azure Data Factory etc Experience of more »
Manchester Area, United Kingdom Hybrid / WFH Options
Amber Resourcing
Software Developer (.Net 6/Vue) | £50,000 - £55,000 | Stockport (Hybrid) C# | .Net 6 | SQL | VueJS | CI/CD | Terraform (IaC) | Azure Cloud | Azure Function Apps | Azure Service Bus | TDD | Agile | Git | CosmosDB | ElasticSearch | Web/Rest APIs | Microservices | Docker …/Core, VueJS, TypeScript, JavaScript, API microservices. With a lean towards the back end. There is a huge amount of work with Azure. Azure KeyVault, ServiceBus etc. The interesting elements of this role is the amount of Azure work you can expose yourself too. … expect to work with Azure AKS, Virtual Machines, Functions, Blob Storage, Virtual Network, DNS, Azure SQL, CosmosDB, MachineLearning, Azure Data Factory, ServiceBus, Azure Key Vault and Active Directory (to name a few). more »
Senior .Net Developers (.Net 7, Azure, MachineLearning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in … the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with MachineLearning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will … not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge more »
people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Data Science and MachineLearning (ML) directs and executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration … third-party vendors Evaluate innovative technologies and tools prior to wider business adoption Typical Minimum Requirements: 10+ years of experience in advanced analytics, machinelearning, and natural language processing Critical Skills: Experience in mining Claims and EHR (Electronic Health Records) data, preferably oncology related data Experience … managing full lifecycle, from research to production, of machinelearning data products Experience in Optical Character Recognition (OCR) and NLP for unstructured data analysis Knowledge in Large Langue Model (LLM) and Retrieval Augmented Generation (RAG) Knowledge of data curation and analysis packages (e.g., NumPy, Keras, PyTorch more »
people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Data Science and MachineLearning (ML) directs and executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration … third-party vendors Evaluate innovative technologies and tools prior to wider business adoption Typical Minimum Requirements: 10+ years of experience in advanced analytics, machinelearning, and natural language processing Critical Skills: Experience in mining Claims and EHR (Electronic Health Records) data, preferably oncology related data Experience … managing full lifecycle, from research to production, of machinelearning data products Experience in Optical Character Recognition (OCR) and NLP for unstructured data analysis Knowledge in Large Langue Model (LLM) and Retrieval Augmented Generation (RAG) Knowledge of data curation and analysis packages (e.g., NumPy, Keras, PyTorch more »
people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Data Science and MachineLearning (ML) directs and executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration … third-party vendors Evaluate innovative technologies and tools prior to wider business adoption Typical Minimum Requirements: 10+ years of experience in advanced analytics, machinelearning, and natural language processing Critical Skills: Experience in mining Claims and EHR (Electronic Health Records) data, preferably oncology related data Experience … managing full lifecycle, from research to production, of machinelearning data products Experience in Optical Character Recognition (OCR) and NLP for unstructured data analysis Knowledge in Large Langue Model (LLM) and Retrieval Augmented Generation (RAG) Knowledge of data curation and analysis packages (e.g., NumPy, Keras, PyTorch more »
people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Data Science and MachineLearning (ML) directs and executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration … third-party vendors Evaluate innovative technologies and tools prior to wider business adoption Typical Minimum Requirements: 10+ years of experience in advanced analytics, machinelearning, and natural language processing Critical Skills: Experience in mining Claims and EHR (Electronic Health Records) data, preferably oncology related data Experience … managing full lifecycle, from research to production, of machinelearning data products Experience in Optical Character Recognition (OCR) and NLP for unstructured data analysis Knowledge in Large Langue Model (LLM) and Retrieval Augmented Generation (RAG) Knowledge of data curation and analysis packages (e.g., NumPy, Keras, PyTorch more »
people. If you want to be part of tomorrow's health today, we want to hear from you. The Lead Data Science and MachineLearning (ML) directs and executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration … third-party vendors Evaluate innovative technologies and tools prior to wider business adoption Typical Minimum Requirements: 10+ years of experience in advanced analytics, machinelearning, and natural language processing Critical Skills: Experience in mining Claims and EHR (Electronic Health Records) data, preferably oncology related data Experience … managing full lifecycle, from research to production, of machinelearning data products Experience in Optical Character Recognition (OCR) and NLP for unstructured data analysis Knowledge in Large Langue Model (LLM) and Retrieval Augmented Generation (RAG) Knowledge of data curation and analysis packages (e.g., NumPy, Keras, PyTorch more »
practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machinelearning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt … of software or products. Experience in some of the following areas. Experience working with Cloud Native design patterns, with a preference towards MicrosoftAzure/Google Cloud. Hands-on Technical experience with at least some of our core technologies (Terraform, Ansible, Packer). Working with cloud cognitive … Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Knowledge of Azure Data Factory/GCP Cloud Data Fusion , MicrosoftAzureMachineLearning or GCP Cloud ML Engine , Azure Data Lake , Azure Databricks or more »
are seeking to recruit an Azure Infrastructure Architect/Senior Azure Engineer who has a passion for MachineLearning and AI. You will bring the below skill set: Responsibilities: Architect, design, and implement scalable and robust infrastructure solutions for machinelearning and scientific research pipelines on MicrosoftAzure, ensuring stability, performance, and security. Collaborate with cross-functional teams, including scientists, researchers, and software engineers, to understand requirements and translate them into Azure-based infrastructure solutions. Minimal Requirements: Degree in Computer … Proficiency with Linux and Linux system administration Experience working with very large datasets Proficiency in Python Familiarity with CI/CD tools (e.g., Azure Dev Ops). Familiarity with Docker or other virtualization technologies If you are excited about making a meaningful impact in AI-driven scientific more »
Employment Type: Contract
Rate: £60000 - £95000/annum Benefits + Pension + holidays DOE
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Ordnance Survey Limited
have an opportunity for an Engineer specialising in DevOps to join Ordnance Survey's Automatic Feature Extraction team in developing next generation MicrosoftAzure based systems. Using Azure DevOps YAML Pipelines and DevOps practices to deploy and manage our systems in the Azure … functional, performant, scalable, tested, secure, maintainable, and supportable. Here is a snapshot of the technologies that we use: Azure Cloud Technologies (AzureML, Databricks, Azure Batch, Function Apps), Bicep, Powershell, Azure DevOps, YAML Pipelines, Pester testing. The wider team also uses Python … of the team. Knowledge of Open-Source Python Data Libraries such as Pandas and Numpy or of geospatial frameworks (Esri, FME) or of machinelearning computer vision. The rewards We want you to love what you do. That's why our benefits package rewards a job more »