1 to 25 of 101 Machine Learning Jobs in the South West

Machine Learning Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled Machine Learning Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure … pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating ...

develop novel AI solutions to mission focused problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose … with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership in small project groups. Generate ideas for new research directions. Advise on suitability ...

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 ...

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 … group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ ...

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design … develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML ...

Principal Machine Learning Engineer – Production Systems Overview SoftInWay UK Ltd. Is seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance … mixed technology stack. Responsibilities Architect the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Productionize ML Workflows : Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing ...

Principal Data Scientist & Machine Learning Researcher sits within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. … 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 click apply for full job details ...

/Senior Software Engineer (AI Research & Applied Systems) Python, Machine Learning (ML), Docker Cheltenham, Gloucestershire Permanent We’re partnering with a high-trust technology consultancy delivering cutting-edge AI solutions into highly sensitive government environments. We're looking for both Mid and Senior level Engineers to join … 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 ...

organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape … experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes ...

Learning, Data Analysis, Data cleansing and transformation, Data Management, Data Sourcing, Data visualization and interpretation, Dialogue enablement, Exposure Management, Machine Learning (ML), Macroeconomics, Market analysis methods, Market Risk Management, Sentiment and Trends, Statistics, Trade execution and management, Trading Fundamentals, Trading knowledge Legal Disclaimer: We are an equal ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

development teams to ensure data operations run smoothly and delivery is to plan Establish scalable, efficient, and automated processes for large scale deployments (including machine learning solutions) Manage, monitor, and troubleshoot machine learning infrastructure Develop and maintain relationships with stakeholders to understand their data needs ...

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Cheltenham. 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 ...

build, testing, and deployment into production, ensuring solutions deliver tangible business value. The ideal candidate will bring deep technical expertise in AI and machine learning, coupled with strong solution architecture skills and the ability to engage confidently with business stakeholders. Experience with automation (Automation Anywhere, Microsoft Power Platform … successful candidate will hold a bachelor's degree in Computer Science, Engineering, or a related field, with significant hands-on experience in AI, machine learning, or data science projects. Strong programming skills such as Python, Java, C#, or JavaScript are required, along with experience in solution architecture, cloud ...

creative industries across film, TV, games, and immersive Virtual and Augmented/Mixed Reality. This work will make use of the latest advances in Machine Learning technology, e.g. generative AI, trained on datasets of world-leading quality obtained via our unique CAMERA Studio facilities. Project Focus We have … Bristol, Bath Spa, and the West of England (UWE), including technical and creative collaborations. You will also join the vibrant Visual Computing and Machine Learning, and AI groups at Bath. The VC group comprises around 30 doctoral students, 10 post-doctoral researchers, and 8 academics, and presents many ...

Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys Other: Version control (Git/GitHub), testing frameworks … facing products Proven experience in rapid prototyping, innovation labs, or product R&D teams Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) Prior startup or SME experience where engineers own end-to-end delivery ...