1 to 25 of 48 Remote/Hybrid Machine Learning Jobs in the Midlands

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

protect internal equity. Your Impact Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software … will contribute to the delivery of leading-edge solutions for challenging civilian and military projects. Leonardo has a significant interest in exploiting AI/ML technologies. In this role, you will support our systems engineers on research projects while developing deployable software solutions that leverage AI/ML capabilities. What ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations ...

Lead Data Scientist/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

Software Engineer to join its expanding engineering team. You'll work alongside talented Software Engineers and AI specialists to develop scalable applications powered by Machine Learning and Generative AI technologies. The business is focused on delivering practical AI solutions rather than experimental research, making this an excellent opportunity … specialise in AI development. What you'll be doing Develop production-ready AI-enabled software applications. Build and maintain backend services supporting LLM and ML functionality. Integrate OpenAI, Anthropic and other AI models into enterprise software. Create scalable APIs and microservices for intelligent applications. Work with cloud infrastructure to deploy ...

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Lead Data Scientist/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksDemonstrable leadership experience, including leading engineers or technical teams and guiding delivery …/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksInterviews will take place via video link. Sift and interview dates ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

Software Engineer to join its expanding engineering team. You'll work alongside talented Software Engineers and AI specialists to develop scalable applications powered by Machine Learning and Generative AI technologies. The business is focused on delivering practical AI solutions rather than experimental research, making this an excellent opportunity … engineer wanting to specialise in AI development.What you'll be doingDevelop production-ready AI-enabled software applications.Build and maintain backend services supporting LLM and ML functionality.Integrate OpenAI, Anthropic and other AI models into enterprise software.Create scalable APIs and microservices for intelligent applications.Work with cloud infrastructure to deploy and monitor ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

Foundry and other Microsoft AI technologies . Theyre not trying to turn this into an AI Engineering role and you dont need deep ML experience. They do want somebody who has started using AI practically. Perhaps youre using Copilot or another LLM as part of development. Maybe youre validating code ...

preferable, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where does AI fit? You dont need to be an AI or Machine Learning Engineer. The client is looking for evidence that youve started exploring how AI can improve the way you engineer. That might mean ...

Microsoft Azure SQL Server, MySQL or PostgreSQL Node.js or Python AWS Docker/containerisation Automated testing and CI/CD Data analytics or machine learning Internet of Things (IoT) technologies and applications You don't need experience across the entire technology stack. A strong front-end developer with ...

TableauVersion Control – Git, DataOps.live, and experience of CI/CD for data pipelines.Good to have certifications inExperience supporting data science and AI/ML workloads as a consumer of the pipelines you build.Microsoft Certified: Azure Data Engineer AssociateAdditional specialist cloud or devops certificationsWhat You'll GetA competitive salary dependent ...

Controls, or SABSA. Holds or is working towards CISSP, CISM, CCSP, or equivalent.GenAI security: experience assessing and mitigating risks in AI/ML solution architectures, including data exposure, prompt injection, model supply chain, and output integrity.Additional InformationWhy Version 1? At Version 1, we believe in providing our employees with ...

Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud, with a strong understanding of how platforms like Gemini Enterprise can drive business value.· Strong understanding of cloud security best practices ...

Agile Scrum delivery teams. Excellent communication, stakeholder engagement and documentation skills. Essentials Experience Significant commercial experience developing enterprise applications using Python. Experience with AI, machine learning or computer vision technologies. Proven experience designing and deploying production-grade web applications and APIs. Experience implementing DevSecOps practices within CI/… responding to requests respectfully, politely, and professionally at all times. Taking an honest approach to business - Is clear, accountable, reliable, knowledgeable, and direc Listening, learning, and finding better ways to make a difference - Looks for opportunities to improve business processes by collaborating with others; is receptive to new ideas ...

architectures enabling interoperability across CDEs, BIM, and enterprise systems.Basic understanding of Power BI and data visualisation, translating data into actionable insights.Awareness of AI and machine learning applications (e.g. automation, classification, predictive analytics).Experience with cloud platforms (e.g. Microsoft 365, SharePoint) supporting secure information management.Domain KnowledgeDeep understanding ...

appropriate use casesExperience working with cloud platforms, APIs and modern application architectures. Experience of AI platforms operating at enterprise scale.Familiarity with data engineering, ML Ops or model lifecycle management practices.Experience with Microsoft AI Platforms and supporting technologies, including Azure AI Foundry, Microsoft copilot ecosystems.Familiarity with Oracle AI ecosystem.Strong stakeholder management ...

concepts can successfully transition into operational capability. Artificial Intelligence is a major part of that journey. You'll be working with programmes exploring AI, machine learning, autonomous systems, human-machine teaming, digital engineering, cloud technologies, cyber capabilities, advanced communications, and multi-domain integration. They're looking ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

looking for engineers who are comfortable taking full ownership of this process across the whole stack; whether that is backend, frontend, embedded, ML or networking. Minerva Defence is one of the fastest-growing defence technology companies in Europe. We create the software, hardware and networking that make unmanned systems effective … looking for candidates who are comfortable across the full stack, including networking and lower-level work, and who are willing to jump into learning about new areas they are less familiar with if that’s what is needed to get the job done in a reliable way. Responsibilities Take ...