126 to 150 of 1,278 Permanent Machine Learning Jobs

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 ...

remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways … maintain backend inference systems that meet the latency and quality demands of professional audio workflows Collaborate with product and engineering teams to implement ML research in commercial products Work with the product owner to identify where ML creates the most value for customers Clearly and effectively communicate ML concepts, model ...

over £1bn, as well as their reputation as a pioneer in delivering safe, real-world AI. At present, they are looking to appoint ML Engineers for a Lead role within their Energy and Environmental unit. The successful candidate will have hands-on experience operating as a Lead ML Engineer within … programmes, assessing key trade-offs, shaping project strategies, and coordinating delivery across multiple workstreams in complex or high-pressure environments. • Build and maintain scalable ML and software platforms while encouraging the development of shared tools and frameworks and supporting engineers in contributing to them. • Support hiring and mentor engineering talent ...

seeking a highly experienced Senior Java Developer with over 10 years of hands-on Java development experience and extensive exposure to AI/ML-driven systems . The ideal candidate will design, build, and scale enterprise-grade applications while integrating modern AI capabilities such as machine learning models … Back End systems. Key Responsibilities Design, develop, and maintain high-performance, scalable Java applications using modern frameworks. Architect and implement AI-enabled solutions , integrating ML/AI models into Java-based platforms. Collaborate with data scientists and AI engineers to productionize machine learning and generative AI models . ...

Data Scientist (Machine Learning) - Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. Due to exciting growth we are building a new machine Learning team. With most … team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of click apply for full job details ...

Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML … technical field. Preferred Skills: Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors). Multi-GPU training experience. Publication record in ML or AI research. Comfortable presenting and collaborating with clients or stakeholders. Familiarity with quantum computing principles. Why Join: This role offers the chance to work ...

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses ...

delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than … monitored properly in real-world environments. What you’ll be doing Designing and building end-to-end MLOps platforms that support the full ML lifecycle Implementing and operating MLflow for experiment tracking, model registry, and versioning Enabling production deployments of ML models (batch and/or real-time) Putting robust ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around … 3+ years of experience working as a data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models ...

this is an opportunity to take real ownership, work across the full technology stack, and contribute to a product that blends software, hardware, and machine learning in a genuinely meaningful way. The Role As a Senior Software Engineer, you will play a key role in designing, building … scaling the core platform. Working closely with senior technical leadership, you'll take ownership of backend systems while contributing across infrastructure, mobile, and machine learning integration. This is a hands-on, full-stack engineering role in a startup environment, where you'll be involved in everything from architecture ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office. The AI Engineer will ideally have the following attributes: Knowledge/experience in Artificial … working with large datasets and building data pipelines Knowledge of cloud platforms such as AWS, GCP, or Azure Experience developing and deploying AI/ML models into production environments Understanding of APIs, microservices, and modern software development practices Ability to work both independently and as part of a collaborative engineering ...

Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world … subscription products or growth analytics Exposure to experimentation/A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenue If you would like to be considered for the role and feel you would ...

real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data … Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world ...

prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving … mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/ ...

London Office.Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Deep Expertise in Machine Learning, Data Science & Technical Tooling Strategic Project Leadership & Business Impact Delivery High Level Stakeholder Engagement & Communication What this role is all about: Vitality … ensuring all models meet safety, regulatory and ethical requirements Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems What do you need to thrive? Undergraduate degree in statistical subject Considerable ...

Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Deep Expertise in Machine Learning, Data Science & Technical Tooling Strategic Project Leadership & Business Impact Delivery High Level Stakeholder Engagement & Communication What this role is all about: Vitality … ensuring all models meet safety, regulatory and ethical requirements Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems What do you need to thrive? Undergraduate degree in statistical subject Considerable ...

Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Deep Expertise in Machine Learning, Data Science & Technical Tooling Strategic Project Leadership & Business Impact Delivery High Level Stakeholder Engagement & Communication What this role is all about: Vitality … ensuring all models meet safety, regulatory and ethical requirements Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems What do you need to thrive? Undergraduate degree in statistical subject Considerable ...

focusing on what clients really need and delivering against that every single day. Key Responsibilities Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows. Collaborate with cross-functional teams to integrate AI technologies with other system components. Ensure … Qualifications Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models ...