15 of 15 Machine Learning Jobs in Birmingham

clearer and faster and that genuinely meet user needs at national scale. Youll play a key role in exploring complex datasets, building production-ready machine learning and generative AI solutions, and working closely with multidisciplinary teams to translate real user problems into impactful AI capabilities. Key responsibilities include … APIs or open-source frameworks. Fine-tuning or evaluating generative AI systems. Knowledge of MLOps, monitoring and lifecycle management. Experience with cloud AI/ML services and scalable data platforms. Exposure to reinforcement learning, graph machine learning or advanced deep learning techniques. Data visualisation or decision ...

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 ...

Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain … ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural ...

DEVELOPER £45-55k salary depending on experience West Midlands office - Remote working with monthly meet-ups TALL Stack, Laravel, PHP, MySQL Work on Machine Learning, VR, Mobile Apps & large global platforms ABOUT THE CLIENT We're working with a forward-thinking digital technology company that delivers high … while also supporting and enhancing legacy projects that incorporate a variety of technologies. You'll have the opportunity to work on innovative solutions involving Machine Learning, Virtual Reality, mobile applications, Big Data, and large global websites. The role requires someone who is highly organised, comfortable working to deadlines ...

tools, and ISO/IEC 42001. Qualifications A degree in Computer Science, Data Science, Engineering, Business or equivalent experience. Relevant certifications (AI/ML, data, project management, cyber security) are beneficial. Why Tarmac We don't just offer a job, we offer a career. Alongside this role, you'll have ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

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 ...

eventually lead the engineering direction of the product as we grow • Has interest or experience in AI/LLMs, training models, and applied ML • Ideally full-stack capability (React, Node.js or similar) • Experience with data-heavy systems, charting libraries, reporting frameworks • Strong exposure to data engineering or data science principles ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated ...

insights, this role offers genuine impact and ownership. THE COMPANY They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed … infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands-on where needed while setting long-term technology direction. SKILLS AND EXPERIENCE The successful Head of Data and Infrastructure ...

people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved ...

involved in the following: Own the execution of the engineering roadmap across all core products and drive architectural decisions for distributed data processing, ML pipelines and modern web systems. Ensure systems scale to support large datasets and evolving GenAI workloads. Champion engineering excellence including testing, observability, documentation and incident response … stability in fast-moving product areas. SKILLS AND EXPERIENCE The successful Head of Engineering will have the following skills and experience: Confidence operating across ML delivery, GenAI and distributed data. Cloud experience - ideally AWS. Understanding of Spark, Databricks or similar data technologies Knowledge of modern web (TypeScript or React ...

senior direct reports and developing strong leadership capability Driving engineering delivery, process quality, and technical standards Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications Working closely with the C-suite on engineering strategy and org development Embedding AI-driven development workflows (70% of code … build of entirely greenfield products and systems . Key Requirements: Web teams Data engineering teams using distributed technologies (e.g., Spark) Data Science/ML teams Leadership experience over multi-discipline engineering teams Strong soft-skills leadership: coaching, clarity, communication Experience in high-growth, fast-changing environments A passion ...