We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory services … Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene.· Au fair with … how current machinelearning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, AzureML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio more »
Maidstone, Kent, United Kingdom Hybrid / WFH Options
Worley
We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:1. Digital Advisory services … Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene.· Au fair with … how current machinelearning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, AzureML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio more »
active role in generating a sustainable pipeline of workEmbed best practice and a culture of quality in the team, taking responsibility for the learning pathways of junior colleagues.Coach, mentor, and performance manage junior members of the team to fulfil their career aspirations and potential. The Successful ApplicantYou will … facing consulting or professional services roleProven experience using Microsoft’s Cloud Data tools to deliver solutions - Includes Power BI, Data Factory, Synapse, Fabric, AzureML and Purview. Excellent knowledge of Alteryx, ideally with the Alteryx Designer Advanced or Expert certificationA strong background in tax compliance and/… data flows and source system connectors via Azure Data Factory.SQL and Python programming skills, along with a good understanding of MachineLearning techniquesExperience using data platforms such as Databricks and SnowflakeExperience of scripting languages such as Javascript, R, Powershell or VBScriptExperience implementing RPA more »
Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and MachineLearning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years … than just writing code) An ability to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the MLmore »
Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and MachineLearning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years … than just writing code) An ability to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the MLmore »
about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure tools and have some very exciting initiatives! They are looking for an additional Snr Data Engineer to join a well established team, this … Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with Azure Cloud Services. Sound understanding of T-SQL programming. Exposure to Azure Data Lake technologies, including ADF, HDFS, and Synapse. Solid … knowledge of Data Governance, Data Catalog, and Master Data Management. Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, AzureML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if more »
ML techniques to design, implement and operate robust and cutting-edge solutions.By joining Deloitte, you will have access to the best training and learning opportunities, allowing you to develop new skills and hone existing ones. You will be working in fast-paced teams with other highly talented, fun … workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless … embedding, Vector database technologies and Semantic Search techniques & tools.Experience in writing robust and efficient code in Python.Experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/MLmore »
Reading, Berkshire, United Kingdom Hybrid / WFH Options
Deloitte
ML techniques to design, implement and operate robust and cutting-edge solutions.By joining Deloitte, you will have access to the best training and learning opportunities, allowing you to develop new skills and hone existing ones. You will be working in fast-paced teams with other highly talented, fun … workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless … embedding, Vector database technologies and Semantic Search techniques & tools.Experience in writing robust and efficient code in Python.Experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/MLmore »
Manchester Area, United Kingdom Hybrid / WFH Options
Socium Recruitment
Senior Software Engineering Azure MicroServices Decision \ ML Applications Proven track record of internal development & Promotions. Does it sound like a Product, Tech stack and culture you are looking for? A SaaS company based out of Manchester, offering remote work are about to build its 4th squad in … to the new squad. Developers who love complex solutions and creating simple applications to solve these problems using the latest .Net Core and Azure technology in a Micro Service architecture. Coding principles and quality standards are baked in from the start – SOLID \ TDD is something they live … areas and the position, progression and tech are what you are looking for – let's chat! .NET Core C# MicroServices \ Event-driven Architecture Azure DevOps TDD or Unit testing Now you don’t need to be an expert in all areas, just an understanding and eagerness to more »
to £75k per annum - Perm Must have full rights to work – there is no VISA sponsorship VIQU has partnered with an education and learning institution to find a Head of Data and Integration. You will be managing a team of over 8 Data Officers. The role requires you … as system integration Proficiency in SQL and other relational and non relational databases Data visualization (Tableau/PowerBI) Cloud database knowledge (AWS or Azure) Datamining, ML, AI Can simplify complex data into compelling and insightful stories Analytical and problem solving abilities Experience in Data flow management, data 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 »
programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server. - Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial. Applicants more »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Ordnance Survey Limited
s Automatic Feature Extraction team as a Senior Infrastructure Engineer and contribute to solving business and customer problems using Microsoft's cloud offering Azure to orchestrate exciting new solutions. Be part of a multidisciplinary production delivery team and actively engage in the analytical community at OS. Who … skills in software engineering & industry best practice (including (TDD, CI, Clean Code, creating testable code, Design Patterns). Technologies We Use : YAML, Bicep, Azure Pipelines, Azure Data Factory, Function Apps, Azure Batch. Our wider team also … uses Python, Esri ArcPro and geoprocessing tools, FME, SQL and AzureML. While not required, the following skills would be a plus: Experience of using AzureML to orchestrate MachineLearning models. Experience of processing geospatial data. Remember, you don't need to tick every box to apply. more »
West London, London, United Kingdom Hybrid / WFH Options
Austin Fraser
this data availableforother stakeholders acrossthe business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python AzureML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity more »
W1B, Piccadilly Circus, Greater London, United Kingdom
ADLIB Recruitment
the-art AI models for content generation and personalisation. Handle a variety of data types, ensuring they are primed for use in their machinelearning models. Develop and deploy applications based on Large Language Models, including specialised techniques in Retrieval-Augmented Generation (RAG). Ensure high … equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures … remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity more »
other stakeholders across the business. It's an opportunity for embarking on interesting challenges in an established business! Essential Skills (3 years): Python AzureML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity more »
about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure tools and have some very exciting initiatives! They are looking for an a mid -weight Data Engineer to join a well established team. … Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with Azure Cloud Services. Sound understanding of T-SQL programming. Exposure to Azure Data Lake technologies, including ADF, HDFS, and Synapse. Solid … Catalog, and Master Data Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, AzureML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written more »