1 to 25 of 82 Machine Learning Jobs in the Midlands

Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Machine Learning Engineer will work within a R&D team collaborating with industry partners to turn … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Machine Learning Engineer ...

Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding. Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases. Utilize pre-built AI models, AutoML solutions … code/low-code platforms to develop effective and scalable machine learning applications. Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics. Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives. Select ...

Machine Learning Engineer - Python & C# - Nottingham/Hybrid 3 month contract initially. - Outside IR35 We're looking for an experienced ML Engineer to join a cutting-edge advanced analytics team developing AI-powered solutions. This role offers the opportunity to work with large-scale real-world datasets including … that deliver actionable operational insights. You’ll collaborate closely with data scientists, software engineers, and domain specialists to develop intelligent analytics platforms leveraging modern ML, MLOps, and generative AI technologies within a highly collaborative engineering environment. Key Responsibilities: Design, develop, and deploy production-grade machine learning solutions ...

your opportunity to be part of an innovative company that is revolutionising the way agriculture operates at their UK R&D facility. As a **Machine Learning Engineer - Robotics & Perception**, you will play a pivotal role in developing intelligent systems that are deployed in real-world environments, making … closely with robotics, embedded, and systems engineers to bring cutting-edge vision intelligence into production agricultural environments What You Will Do: - Design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction. - Train and optimise deep neural network models using frameworks such as PyTorch ...

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 ...

machine learning tasks, partnering with stakeholders to solve real business problems and support data-driven decision-making. The business have 4-6 ML models in production, one of which is an award-winning. Generally these models are in the finance and risk areas - any experience of this would … Responsibilities: Develop, test, and maintain data science solutions using Python Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities Apply statistical and machine learning techniques to address business questions Use segmentation and clustering techniques where appropriate to support insight generation Interpret model results and communicate insights ...

technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they … C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with ...

Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Machine Learning Engineer will work within a R&D team collaborating with industry partners to turn ...

drug development accelerator, helping to shorten timelines and bring new treatments to patients faster through our Translational Pharmaceutics® platform. As an AI ML Engineer , you will own the full AI lifecycle—from data ingestion through model development, deployment, and monitoring. You’ll build and maintain the technical foundations that enable … deliver measurable value. Test and select modelling approaches balancing performance, interpretability, and operational fit; tune/retrain models as needed. Build and maintain scalable ML pipelines and infrastructure for classical ML and deep learning. Deploy models to production using containerisation, CI/CD, and MLOps toolsets; manage ongoing configuration ...

staying up to date on latest tools and methodologies. Provide subject matter expertise on key domain‐related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc. Enable the best‐fit implementation approach leveraging the core and evolving skills … domain of data analytics, e.g., machine learning, natural language processing, text sentiment analysis. Champion the value of analytics and data‐driven approach across Talent and provide thought leadership as required on the complete cycle of talent analytics. Design data & insights model to cater to data visualization ...

help unlock the value of its data. This is a hands-on role where you'll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights. You'll have the freedom to own problems … Doing Designing and building data science solutions using Python Exploring datasets to uncover trends, patterns, and opportunities Applying statistical methods and machine learning techniques to solve business challenges Using clustering and segmentation to enhance analysis where relevant Translating technical outputs into clear insights for a range of stakeholders ...

Software Engineer (AI Research & Applied Systems) Python, LLM, Machine Learning (ML) Worcestershire (Hybrid working, 1 day a week in office, possibility for additional flex) Permanent SC or DV Clearance required We’re partnering with a high-trust technology consultancy delivering cutting-edge AI solutions into highly sensitive government … Contribute to identifying and shaping future opportunities in AI innovation What we’re looking for Proven experience working with generative AI, LLMs, or advanced ML technologies Strong understanding of state of the art AI research and how to apply it in production systems Skilled in Python, as well as ideally ...

ONYX Insight is seeking an ML Engineer to join our Advanced Analytics team on a 6‐month contract, focusing on building and deploying production‐grade machine‐learning solutions for the renewable energy sector. The Role This is a delivery‐focused contract role, ideal for an ML Engineer … Scientists and Software Engineers to productionise AI models used in wind‐turbine condition monitoring and predictive maintenance. Key Responsibilities Design, build and maintain production ML services and APIs Implement model inference pipelines and optimise performance Develop robust data and feature pipelines integrating cloud data sources Write clean, testable, well‐documented ...

documentation to ensure high-quality deliverables Support model monitoring, debugging, and optimization in real-world applications Stay up to date with emerging AI/ML trends and tools, contributing innovative ideas to the team Your Profile Essential skills/knowledge/experience: (Up to 10, Avoid repetition) Proficiency in Python … applicable) Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Academic or project experience involving ML models, NLP, or AI systems Exposure to cloud platforms (e.g., AWS, Azure, GCP) is advantageous Understanding of software engineering principles and development lifecycle Internship, coursework ...

Serverless cloud environment. You’ll utilise object oriented programming, and package building, having also had exposure to deep learning and other ML based methodologies. The organisation work hybrid, with in person collaboration weekly to foster an innovative and inventive culture, bouncing ideas off each other, breaking things, fixing them … changing the game, needs an experienced Product Manager. You. Permanent| £45,000 - 55,000 per annum| North West Responsibilities Lead a data science/ML oriented team, inspiring and guiding them through the full lifecycle of AI driven feature development. Manage multiple projects across teams, allocate resources and ensure project ...

integrate software features that are vital to the lives of credit card consumers.* Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals.* Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively … stability.* Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt.### **What you’ll get to learn*** ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment.* Regulated AI: Navigating ...

Applied AI & Machine Learning Engineer Wolverhampton — Hybrid (3 days in office, 2 days remote) Up to £40,000 depending on experience Full-Time | Permanent Build AI That Actually Ships At The Big Phone Store, we're applying modern AI to a fast‐moving, real‐world industry; refurbished technology. ...

Devitechs is seeking a skilled AI/Machine Learning Specialist in Birmingham. Your primary responsibilities will include defining and designing machine learning solutions without direct coding, evaluating model performance, and ensuring ethical usage of AI technologies. The role involves collaboration with various stakeholders to enhance business ...

Data Scientist | Outside IR35 | 6 Months | £400 - £450 | You’ll be joining a multidisciplinary team made up of data scientists, ML engineers, software developers, and subject-matter experts, working together to solve complex problems using advanced analytics. The focus is on applying machine learning techniques to large-scale … doing: Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines Using a combination of signal processing, ML, and reliability-focused approaches on operational data Developing probabilistic models to assess component health and predict remaining useful life Turning complex outputs into clear, usable ...