1 to 25 of 58 Permanent Machine Learning Jobs in the East Midlands

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

model performance over time Contribute to data pipelines, model training workflows, and MLOps practices Stay up to date with the latest developments in AI, ML, and data science Document models, experiments, and technical decisions clearly Requirements Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Strong foundations in machine learning, algorithms, and statistics Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) Understanding of software engineering fundamentals and version control (e.g. Git) Ability to communicate technical ideas clearly to both technical ...

that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation. The AI Ops Engineer position … Strong experience operating machine learning or AI systems in production environments Hands-on experience with CI/CD pipelines for data or ML workloads Experience managing cloud-based infrastructure for AI workloads Solid understanding of monitoring, observability and operational resilience Strong collaboration skills with the ability to work ...

Engineer to join our dynamic Data business area. This key role involves designing and implementing robust, scalable test automation strategies across a suite of ML-driven data products, helping us ship with confidence and speed. Key Accountabilities: Design and implement automated tests for data pipelines, APIs, and machine learning … Line management responsibilities for other Test Automation Engineers. Knowledge, Experience, and Qualifications Required: Proven experience in test automation, preferably in a data-driven or ML environment. Strong proficiency in Python (you'll need to code your own tests). Experience testing data pipelines, APIs, and cloud-native applications. Familiarity with ...

opportunity to work on a wide range of technically challenging projects, including large-scale data processing systems, enterprise applications, mobile applications and cutting-edge machine learning solutions. You’ll be joining a collaborative, supportive and highly skilled team within a friendly, family-run environment. As a Software Developer … team Example Projects Real-time IoT systems communicating via GPRS Complex reporting and scheduling platforms Large-scale, data-driven systems Rich data analysis, machine learning, and AI solutions Backend integrations with CRM and financial systems Required Skills & Experience Strong commercial experience with C# .NET Core (essential) Proven experience ...

Timescale DB, AWS Cloud, AWS SageMaker, and NoSQL(DynamoDB). What you'll need to succeed You will have strong knowledge and understanding of ML/Data Science concepts, processes, statistical modelling, data and model pipelining and ML algorithms. You will also have commercial experience in delivering customer-facing products … technologies, including web technologies, to help integrate AI and data visualisation capabilities into our existing platform. Essential 5+ years of experience working within ML/Data science development Experience using NVIDIA DeepStream and Jetson hardware Practical experience developing ML pipelines and applications using Python or C++. Strong understanding of Linux ...

workload). BAU Finance Support: Ongoing analytics across AP, Cash, Commercial Services, Operations. Analytical Automation: Using Python/SQL to streamline recurring analysis. Future ML/AI: The team will explore machine learning applications. Requirements Essential: Strong SQL (querying, joins, CTEs, window functions). Python for data analysis … team or financial data experience. Data warehousing knowledge. What You'll Get Salary up to £47,000. Modern data tech (Databricks, Medallion Architecture). ML/AI exposure as team evolves. Hybrid working (4 days onsite after training). Career development in major UK retailer. Interview Process Stage 1: Informal ...

maintenance needs. Create dashboards and reports to communicate insights to non-technical stakeholders. Assess the impact of housing initiatives and recommend improvements. Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring. Maintain data quality, security, and compliance with GDPR and other regulations. Work … e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong ...

right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development …/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. ...

right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development …/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. ...

right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development …/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. ...

right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development …/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. ...

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Ship features that directly support global retailers and deliver ...

GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Ship features that directly support global retailers ...

growing, highly collaborative data function with the freedom to influence architecture, shape long-term data foundations and work across innovative data, AI and machine learning initiatives. The Role As a Data Architect , you'll take a hands-on role designing, governing and delivering modern data architectures that support ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...