1 to 25 of 117 Machine Learning Jobs in the Midlands

deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over … time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud ...

autonomous vehicles. As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine … weekly travel to collaborate with the team Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data-driven decision making across the business. Own service performance and continuous improvement, ensuring ...

Senior Machine Learning Data Scientist - Credit Risk £80,000-£120,000 + Bonus + Benefits (Flexibility to £150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk … directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability ...

documentation to ensure high‐quality deliverables. Support model monitoring, debugging, and optimisation in real‐world applications. Stay up to date with emerging AI and ML trends, contributing innovative ideas to the team. Your Profile Essential skills/knowledge/experience: Proficiency in Python programming. Foundational understanding of machine learning … such as AWS, Azure, or GCP. Understanding of software engineering principles and the development lifecycle. Internship, coursework, or personal projects demonstrating applied AI/ML solutions. Strong communication skills and the ability to work effectively in a collaborative team environment. ...

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 Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 - £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying … scalable machine learning models that drive data-driven decision-making across the business click apply for full job details ...

Head of AI & Machine Learning Up to £100k + 15% Annual bonus | Northampton | Permanent | Hybrid (minimum 2 days per week) Proactive IT Appointments are proud to be working with an exciting client looking to hire a Head of AI & Machine Learning to lead their AI strategy … This role requires strong leadership experience alongside hands-on expertise in Python and AWS, with a proven track record of building and deploying scalable ML solutions. Skills & Experience Essential: Extensive experience in people and strategic leadership. Strong communication skills, with the ability to influence both technical and non-technical audiences. ...

predictive asset maintenance to dynamic workforce optimisation and demand forecasting. You will leverage the Databricks platform on AWS to build, scale, and deploy robust ML models that integrate seamlessly with our clients' enterprise architectures (SAP, FSM, GIS, SCADA systems). Key Responsibilities · End-to-End Predictive Modelling: Design and develop … process, and analyse large-scale structured and unstructured data from diverse sources (e.g., SAP Datasphere, S3). · Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific ...

implementation of AI solutions, helping Ridge unlock new levels of value, efficiency and insight through intelligent automation, advanced analytics and machine-learning capabilities. In this role, you will be instrumental in driving the discovery of AI opportunities across our various disciplines. You will collaborate closely with project teams … coding languages such as Python Demonstrated experience with low-code no-code platforms, preferably within Copilot Studio Proven experience with delivering AI and machine learning projects Experience spanning small, isolated implementations to larger org-wide initiatives Experience in data analysis, machine learning and AI development Hands ...

Microsoft Fabric and AI-driven data capabilities. This role offers the opportunity to work on a modern data platform while also contributing to how machine learning and AI-driven insights are integrated into production environments. You will play a key role in shaping how data is used across … supporting analytics and reporting Support and enhance Azure Synapse and Azure Data Lake environments Contribute to the migration and adoption of Microsoft Fabric Integrate machine learning and AI-driven outputs into data pipelines Develop and support Power BI datasets and reporting layers Mentor Data Engineers and support best ...

with extensive sports datasets, you will develop models that determine odds and power in-play betting decisions. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment. Our fast-paced, delivery-focused environment offers … ability to apply advanced techniques to complex, real-world problems. Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch. Excellent verbal and written communication skills for presenting complex data-driven insights ...

Description White Collar Factory (95009), United Kingdom, London, London 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 … insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using ...

measurable business value from AI investments. Minimum (essential) Requirements Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised … Desirable Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow), fine tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g., scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source ...

partner teams; avoid duplication, ensure accountability. Collaborate with Product Managers to embed AI capabilities into broader product strategies. Work closely with Data Scientists, ML Engineers, and MLOps teams to ensure technical feasibility and scalability. Act as the primary liaison between business stakeholders and AI team. Educate stakeholders on AI capabilities … field; advanced degree desirable. Knowledge & Experience Demonstrable experience of AI product delivery/ownership within insurance or financial services. Strong understanding of AI/ML concepts, model lifecycle, and MLOps. Knowledge of ethical AI principles and regulatory frameworks. Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership. ...

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 ...

Software AI 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 Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready … 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 Software AI Engineer can expect ...

eliminate redundancy by supporting with application consolidation and rationalisation, to then be able to reinvest funds such as in emerging technologies, currently including AI, Machine Learning, Big Data and Cloud initiatives. Provide technical recommendations and guidance for developing and delivering technology stacks, APIs, governing AI, etc., as well … improve customer experience. Deep technical knowledge “Proficient” to “Expert” level across a broad technology landscape, included but not limited to Data Engineering, Data Analytics, Machine Learning and AI. Experience and understanding with different delivery methods and tools including Waterfall, Agile, KANBAN, and JIRA. Understanding of market trends ...

skills, a problem‐led research mindset, commitment to open, collaborative, and trans‐disciplinary research. This role will strengthen the university’s capabilities in AI, machine learning, and data science, with applications aligned to one of our priority research areas: Health and Life Sciences; Defence and Security; Engineering … prior experience in these areas. You will have research expertise in generative AI (e.g. fine-tuning, prompt engineering, retrieval‐augmented generation) and/or machine learning (e.g. data preparation, model selection, optimisation, and evaluation). You will demonstrate a strong record of high‐quality publications and a clear ...

capabilities that enable better, faster decision‐making at scale. About the role As Head of Data Science, you will define how advanced analytics, machine learning and statistical modelling deliver real, measurable value across Halfords. This is not a pure research or experimentation role. It is about turning data … operating model for Data Science at Halfords, ensuring clear alignment to business strategy Identify and prioritise high‐value use cases where advanced analytics and machine learning can drive meaningful impact Lead the delivery of scalable data science products, moving from experimentation to adoption and long‐term value Translate ...