76 to 100 of 1,021 Machine Learning Jobs in the UK excluding London

deliver trusted, secure, and customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications and services … stack, such as APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions. Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team's work. Participate in graduate program learning, mentorship, networking, community, and career-development ...

seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving … real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What ...

effectively, and at scale. We're particularly interested in engineers who have helped organisations establish the foundations for AI-led development, including data platforms, ML pipelines, governance frameworks, deployment processes, and production support models. What You'll Be Doing You'll act as a senior technical anchor for both data … native data platforms that support analytics, machine learning, and AI workloads Develop robust data pipelines supporting both traditional analytics and AI/ML use cases Work directly with technical and non-technical stakeholders to translate operational problems into scalable data and AI solutions Design data models, integration patterns ...

reference: SS/45033Sector: Banking, Financial ServicesRegion: ScotlandSpecialisms: Data GRC Jobs, Quant Data Scientist JobsClosing date: 2026-12-11Director – Machine Learning | Financial CrimeGlasgow | Four days per week in the officeHow do you take a promising machine learning model and make it work reliably within … explain technical decisions and work through competing priorities with senior stakeholders. Financial crime experience would be useful, but we're interested in speaking with ML leaders from other sectors who have delivered reliable models in complex environments. LocationThe role is based at our client's Glasgow campus, with four days ...

Data Scientist Liverpool (Hybrid) | Up to £55,000 Looking to apply advanced analytics and machine learning in a role where your work directly influences business decisions? This is an opportunity to join a well-established consumer-focused organisation investing heavily in its data capabilities. You'll work … Their analytics and technology teams play a key role in shaping strategy, improving customer outcomes, and driving operational performance. With continued investment in AI, machine learning, and cloud technologies, they offer an environment where innovation and collaboration are actively encouraged. The Role You will be responsible for: Collecting ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. This role can be hired at different grades, eg a recent PhD graduate or someone with … advantage (eg C, C++, Julia, R, Rust, etc)Experience delivering computational tools, models, or analytical methods Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageousAn interest in leading projectsWhat you'll get in return As well as a highly competitive salary ...

join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist … will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business ...

data science, behavioural insights and digital technology to help organisations connect more effectively with the communities they serve. Their cloud-based SaaS platform combines machine learning, AI and sophisticated web technology to support hundreds of thousands of customer interactions every week across sectors including Social Housing, Local Government …/TypeScript frontend. While previous ColdFusion experience is not required, you'll need strong commercial experience with another server-side technology and be comfortable learning CFML. You'll work closely with Software Engineering, Data Science, DevOps, QA and Business Analysis teams to develop secure, reliable and scalable software. ...

science and AI, our Data & AI practice continues to grow. We are seeking high-performing individuals with a proven track record delivering data science, machine learning or AI solutions to join our team. This role can be based in either our Belfast or Derry/Londonderry office … travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields. Lead AI & Machine learning engagements from problem definition through development and implementation, ensuring that each solution addresses a clear business need. Work with senior client stakeholders ...

this role. Follow approved designs and engineering standards while using the above tools on assigned tasks. FUNCTIONAL JOB DESCRIPTION Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations. Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables. Facilitate requirement … this role. Follow approved designs and engineering standards while using the above tools on assigned tasks. FUNCTIONAL JOB DESCRIPTION Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations. Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables. Facilitate requirement ...

data products function where you'll play a key role in developing innovative, data-driven solutions. The position combines advanced analytics, product innovation, machine learning, and stakeholder engagement, offering the chance to influence both product strategy and technical delivery. The Company They are a data and analytics organisation … stakeholders to design, develop, and optimise data-driven products and analytical solutions. Responsibilities include: Identifying opportunities for new data products using advanced analytics and machine learning Developing predictive models and analytical solutions to support business objectives Building prototypes and proof-of-concepts using Databricks and modern data platforms ...

service providers. Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements: PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience.3+ years of hands … experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industryExperience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full-stack or AI/ML engineering experience, including production deployments. Demonstrated ability to build and ship production full-stack applications and APIs, from backend services to user interfaces. Strong proficiency in Python … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

Junior AI/ML Engineer - Computer Vision & Deep Learning - SC Cleared We are looking for a talented AI/ML Engineer to join a specialist engineering team delivering advanced computer vision and machine learning solutions for a major defence technology programme. You'll work alongside experienced … models. Support the development of deep learning solutions using Python and PyTorch. Assist with model training, validation, evaluation and deployment. Contribute to scalable ML pipelines and production-quality software. Collaborate with senior engineers to integrate AI models into operational systems. Support testing, debugging and continuous improvement of AI applications. ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong Experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Demonstrated ability to take ideas from … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Hands-on experience with GenAI patterns … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

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 ...

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 ...