1 to 25 of 35 Machine Learning Jobs in the West Midlands

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development … Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial ...

difficult and often complex. Creating & compiling requirements – populating relevant systems with programme requirements, authoring new requirements as necessary. Is able to design, build & test machine learning features to be incorporated into driver modes and attribute features. Creating and defining new attribute related features - supporting the demand process … benchmarking), desk top data collection & physical measurement of vehicles. Skills Required: Experience with software integration, calibration and delivery. Experience of feature delivery & demand process. Machine learning and experience of using motion detection, prediction and scanning. Experience and knowledge of ADAS system design and integration. Highly self-motivated engineer ...

clear goals and outcomes. Document findings thoroughly and hand over validated work to the wider development team. Demonstrable knowledge and experience in data mining, machine learning (including deep learning), generative AI (e.g., with Retrieval-Augmented Generation), and reinforcement learning. Software Development & Delivery Design, develop, test and maintain ...

DevOps and CI/CD pipelines Experience with big data technologies (e.g., Spark, Hadoop) Understanding of risk and control frameworks within banking Exposure to machine learning pipelines is a plus Experience working in financial services, investment banking, or regulated environments preferred. Soft Skills Strong analytical and problem-solving ...

patterns: authentication, authorisation, encryption, secrets management Desirable Experience with Docker and container orchestration via ECS or EKS Familiarity with AWS analytics and AI/ML services — SageMaker, Redshift, Athena, Bedrock Exposure to advanced industrial technologies: IoT, edge computing, hybrid cloud architectures Experience with React or dashboard tooling that surfaces cloud ...

about internal and external customer needs to reimagine customer interactions What you’ll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform ...

Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services … support of a permanent role. Youre not a contractor - youre a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing ...

protection regulations (e.g., GDPR) Support ethical use of AI, ensuring fairness and transparency in systems Skills & Knowledge (Desired) Technical Skills: Basic understanding of AI, machine learning, or automation concepts Familiarity with tools such as Python, Power BI, or automation platforms (e.g., Zapier, UiPath) is a plus Understanding ...

Knowledge Essential Demonstrable knowledge of the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning etc. Solid understanding of UK Data Protection law and related regulations relevant to counter fraud data provision, use and retention Understanding ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

software architecture across Windows and Linux platforms. Complex Systems: Manage codebases integrating hardware, sensors, vision, and AI. Innovation: Partner with Data Science to deploy Machine Learning models to edge devices (e.g., NVIDIA Jetson). Leadership: Mentor junior engineers and drive best practices across the full SDLC. What Were ...

award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer ...

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 ...

senior audiences Supporting the development of new reporting solutions alongside existing BAU delivery Contributing to a longer-term data science roadmap, including exposure to ML and predictive modelling What we're looking for: 3–5 years' experience in a customer, marketing, or commercial analytics role Strong SQL skills — essential Power ...

data + video + SOPs) Developing systems like deviation detection, performance scoring, and AI feedback This role is for you if You’ve built ML systems end-to-end (not just models) You’re comfortable working with messy, real-world data You like defining structure where none exists You want ...