26 to 50 of 281 Machine Learning Jobs in the East Midlands

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

line manage Senior Data Engineers. Using your data engineering expertise, you will coach and support your team, building it into a high performing team fostering a culture of continuous learning and improvement. Your expertise will be crucial in optimizing data workflows and implementing best practices to support our data-driven initiatives. … What you'll need to have These are the essential skills or experience needed to succeed in this role. Experience developing data warehouses, Business Intelligence/Management Information or ML and AI solutions Experience developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too) 'Hands on' experience of data engineering within an analytics environment. Expert knowledge More ❯

line manage Senior Data Engineers. Using your data engineering expertise, you will coach and support your team, building it into a high performing team fostering a culture of continuous learning and improvement. Your expertise will be crucial in optimizing data workflows and implementing best practices to support our data-driven initiatives. … What you’ll need to have These are the essential skills or experience needed to succeed in this role. Experience developing data warehouses, Business Intelligence/Management Information or ML and AI solutions Experience developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too) ‘Hands on’ experience of data engineering within an analytics environment. Expert knowledge More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

best practices in AI governance, ethical AI, and deployment strategies Qualifications, Skills & Experience: Undergraduate degree in STEM; Master’s or Ph.D. preferred 5+ years of experience in AI/ML, with at least 3 years in a presales, solution oversight, or technical consulting role Expertise in AI/ML, GenAI, MLOps, and AI infrastructure Experience in technical discovery, solution design … are an international consulting company working with businesses and IT Leaders to extract value through data and analytic solutions in the domains of Cloud, Data Management, Analytics, AI and ML, Governance, Hyper Automation, and Enterprise Application Development. Our team of experts, combined with our world-class data management platform, helps provide trusted insights, establish frameworks, enforce best practices, and streamline More ❯

looking to continue their growth (25% in 12 months) by making their first Senior Technical Product Manager Hire. This role is to support the launch of their new AI & ML tool to their existing client base. You’ll be joining a product team of 6 and they want someone to take full ownership of it. As the key member of … track record of delivering SaaS, cloud infrastructure, or platform products in B2B. Working knowledge of cloud services (AWS), APIs, and modern software development practices. Familiarity with MLOps, AI/ML (including generative AI), microservices, CI/CD and system monitoring. Excellent stakeholder management and communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies More ❯

looking to continue their growth (25% in 12 months) by making their first Senior Technical Product Manager Hire. This role is to support the launch of their new AI & ML tool to their existing client base. You’ll be joining a product team of 6 and they want someone to take full ownership of it. As the key member of … track record of delivering SaaS, cloud infrastructure, or platform products in B2B. Working knowledge of cloud services (AWS), APIs, and modern software development practices. Familiarity with MLOps, AI/ML (including generative AI), microservices, CI/CD and system monitoring. Excellent stakeholder management and communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies More ❯

of integration flows. As appropriate, evaluate and integrate generative AI capabilities (e.g., large language models advanced NLP toolkits) into our integration stack. You will stay current with AI/ML trends (e.g., transformer architectures, Hugging Face, Vertex AI on GCP, Azure Cognitive Services, AWS Sagemaker) and identify opportunities to incorporate new technology for improved efficiency and innovation. You will work … API Gateways (Kong, Apigee, AWS API Gateway) and ESB solutions. Familiarity with generative AI approaches like LLM-based chatbots or transformer-based AI solutions. You will have an understanding ML frameworks (TensorFlow, PyTorch) and how they can be utilised in data pipelines. Exceptional ability to communicate technical concepts to C-level executives, technical staff, and non-technical stakeholders. You will More ❯

Cloud applications, ensuring reliability and efficiency. Implement DevOps practices, cloud storage solutions, and infrastructure automation. Build and maintain RESTful APIs for seamless backend-to-frontend integration. Develop AI/ML-powered features for intelligent automation and decision-making. Design, develop, and maintain high-quality mobile applications for iOS and Android. Collaborate with UI/UX designers to ensure intuitive and … architecture, RESTful APIs, and database management (SQL/NoSQL). Preferred: Cloud certifications (e.g., AWS Certified Developer, Azure Developer, Google Cloud Professional Cloud Developer). Experience in AI/ML model integration within cloud and medical applications. Familiarity with containerization (Docker/Kubernetes) and serverless computing. Experience working with IoMT (Internet of Medical Things) and connected health applications. Why Join More ❯

applications. Proficient in data analysis, data lineage, data profiling, master data management, metadata management, ETL/ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated More ❯

Machine Learning Operations (ML Ops) Engineer Machine Learning Operations (ML Ops) Engineer 12 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. PLEASE NOTE: We are promoting this job opportunity as provided by a third party, the employer. In case of your interest in this job … for generations to come. About The Role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You’ll also optimise ML/AI code written by our Data Scientists into Production-ready software according to agreed performance and … cost criteria. You’ll play a key role ensuring that ML/AI projects are setup for success via the automation of residual manual steps in the development and production lifecycle. You’ll also provide essential insights into the ongoing predictive capability and cost of deployed ML/AI assets using language and visualisations appropriate for your audience. It’s More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

their skills in a fast-paced business environment. Role Responsibilities As a Data Scientist you will be responsible for: Driving data within Cromwell Data set generation, feature engineering & developing ML models that are repeatable, dynamic, and scalable. Developing, monitoring & maintaining AI-driven processes within the business Supporting with monitoring & maintaining productionised models, identifying, and developing long-term processes, frameworks, tools … methods, and standards. Developing ML models, visualisation tools & analytics to support the business strategy. Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems. Managing relationships Engaging with business stakeholders to problem solve with data. Collaborating with the data engineering team to improve data accessibility. Supporting analytics teams to effectively …/PostgreSQL/Microsoft SQL/Oracle Proficient in Python or R Proven business experience (1+ years) within a data scientist role, solving problems through data. Good understanding of machine learning modelling techniques & proven experience deploying these within a business Adept in in statistics and experience of using statistical techniques Experience of analysing large datasets and communicating complex More ❯

to your personal development needs, along with two free residential management training courses at the beginning of the project. Career Progression: Deliver high-impact outcomes within a business while learning at the same time, significantly contributing to your long-term career progression. Modern Facilities on Campus: Access to state-of-the-art campus facilities, including libraries, research labs, Sports … Project Board meeting of the partners. Qualifications, Knowledge and Experience - PhD in Computer Science, Data Science, Mathematics, Engineering or similar - Programming proficiency in Java, (or Python) - Good understanding of ML techniques and algorithms - Good understanding of knowledge representation and graph models - Understanding of insurance industry relevant to Risk Compliance Management. - Demonstrated experience in managing projects from initiation to completion, ensuring … and quality standards are met Skills, Abilities and Competencies Essential - Proactive and self-motivated, with the ability to work independently and take initiative - Project management skills and business acumen. - Machine Learning techniques. - Proficiency in Python or Java programming. - Excellent written and spoken English communication skills. - Ability to communicate with a range of stakeholders with different levels of technical More ❯

Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with … Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social … media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and quality delivery within deadlines. Compensation This is an equity-only position, offering a 1% stake in More ❯

goals. Develop data analysis strategies using AWS tools like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data ingestion and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on … with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and … user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication skills and team collaboration. Attention to detail and quality delivery within deadlines. Compensation: This is an equity-only position, offering a 1% stake in the company More ❯

analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work … with AWS analytics services. Proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and … user behavior analysis. Knowledge of big data tools like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and deadline management. Compensation This is an equity-only position, offering a stake in a growing company and a chance More ❯

analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights for … AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Strong understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Analytical and problem-solving skills. Experience with social media analytics and user … behavior. Knowledge of big data technologies like Hadoop, Spark, Kafka. Understanding of AWS machine learning services like SageMaker and Comprehend. Experience with data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an equity-only position, offering a stake in a rapidly growing company and the More ❯

and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to … such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical … thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices in AWS. 12Excellent communication and collaboration skills to effectively work in More ❯