1 to 25 of 124 Machine Learning Jobs in the South West

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...

world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Camera & Photos team develops privacy‐respecting machine learning technologies to ship Apple Intelligence features and emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced … learning and deep learning fundamentals Exceptional problem‐solving and interpersonal skills Robust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production‐quality deployment Preferred Qualifications Hands‐on experience with large language models (LLMs) and parameter‐efficient fine‐tuning ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

Responsibilities 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 robust IT Service Management, regulatory compliance … model risk management, ethical AI standards and ongoing enhancements to user experience, efficiency, scalability and cost of operation. Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading‐edge techniques to enable rapid, scalable and cost‐effective delivery of machine learning ...

harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high … ensure our solutions are maintainable and scalable. Skills & Experience Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML ...

title Machine Learning Engineer (KTP Associate) Department Computer Science Salary Starting from £43,000, rising to £51,000depending on qualifications and experience Develop AI solutions that drive commercial business decisions We are looking for a highly capable machine learning specialist to lead the development … real‐world datasets See your work deliver measurable impact for retail clients This role offers a unique combination of: Technical depth: advanced AI/ML development Commercial impact: direct influence on product and strategy Leadership: full ownership of a high‐profile project You will also benefit from: Structured KTP training ...

will play a key part in enabling that shift, ensuring our data platform is structured in a way that supports more advanced analytics and machine learning use cases over time. Data is a critical, funded investment area for our business, with backing already in place and a clear … both regulatory and product needs. As the platform matures, you'll also help enable more advanced capabilities, including predictive modelling, scenario optimisation and machine learning use cases, ensuring the data foundations are built to support them properly. What You'll Be Doing In the early stages ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

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 ...

+ Leading Training & Development + Cutting Edge Technology ProjectsHybrid role, Central London 3 days on site Are you an AI Engineer, Computer Vision Engineer, Machine Learning Engineer or AI Integration Engineer looking for the opportunity to work on genuinely cutting-edge AI applications that are shaping the future … Engineer/Computer Vision Engineer/Machine Learning Engineer/AI Integration Engineer or similar *Strong Python experience with AI/ML frameworks such as PyTorch or TensorFlow *Experience with Computer Vision, real-time AI systems or applied Machine Learning *Exposure to Unity, Unreal Engine ...

pioneering AI company that empowers governments and organisations in safety‐critical or highly regulated industries to solve critical, complex, and high‐stakes challenges using machine learning and uncertainty quantification. From forging a path to clean energy to life‐saving medical diagnostics and beyond, making critical decisions with unwavering … incomplete. This is where digiLab’s expertise shines through. Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision‐makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value ...

passionate about helping customers solve some of the biggest workforce challenges, then RoleMapper is the place to be! Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/… infrastructure of our AI‐powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross‐functional teams. As Machine Learning Engineer (NLP), you will be responsible for: Building and deploying NLP models using the latest techniques to solve real business problems ...

Machine Learning Engineer - Defence 60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

PEOPLE is seeking an experienced Machine Learning Engineer to join their team in Cambridge, UK. This role involves developing innovative privacy-preserving machine learning algorithms for Apple's photo features, requiring strong collaboration and problem-solving skills. The ideal candidate has a proven track record … machine learning software development, including experience with deep learning and tools like PyTorch. Join us to contribute to creating exceptional user experiences. #J-18808-Ljbffr ...

University of Bath is seeking a Machine Learning Engineer (KTP Associate) to lead the development of AI solutions for The Tapestry Agency. This role involves designing machine learning models and collaborating with various stakeholders to deliver impactful insights for retail clients. This 29-month hybrid position … offers a starting salary from £43,000, along with extensive training and development opportunities. Ideal candidates will have a relevant degree and experience in machine learning and data analytics. #J-18808-Ljbffr ...

Applied Data Scientists to join a cutting-edge programme, supporting UK intelligence clients. You will be part of a programme focused on artificial intelligence, machine learning, advanced analytics, and modern cloud-native technologies within a highly secure environment. What You'll Be Doing As an Applied Data Scientist … will: Work on complex challenges across AI, Natural Language Processing (NLP), and Machine Learning Build, train and deploy models using tools such as: PyTorch TensorFlow scikit-learn Apply modern data science techniques to real-world, mission-critical problems Collaborate with engineering teams to deploy scalable solutions using cloud ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...