476 to 500 of 1,922 Machine Learning Jobs in the UK excluding London

automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection … Take the lead on deployments while working alongside a highly experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems … machine vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without More ❯

Responsibilities Hands-on AI Engineer at principal/staff level to build an AI team to deliver an AI capability. Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. … Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven track record delivering production-grade AI solutions in complex, data-rich environments. Skilled in setting team engineering … practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation. Lead tech enablement Excellent communication skills Experience in setting up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). More ❯

Responsibilities Hands-on AI Engineer at principal/staff level to build an AI team to deliver an AI capability. Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. … Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven track record delivering production-grade AI solutions in complex, data-rich environments. Skilled in setting team engineering … practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation. Lead tech enablement Excellent communication skills Experience in setting up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). More ❯

Responsibilities Hands-on AI Engineer at principal/staff level to build an AI team to deliver an AI capability. Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. … Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven track record delivering production-grade AI solutions in complex, data-rich environments. Skilled in setting team engineering … practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation. Lead tech enablement Excellent communication skills Experience in setting up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). More ❯

Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency More ❯

AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context—from ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and personalization strategies that optimize client … engagement and campaign performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization … Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean More ❯

AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context—from ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and personalization strategies that optimize client … engagement and campaign performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization … Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean More ❯

Founding ML/AI Engineer | ClimateTech | London (Hybrid) I’m working with a pioneering ClimateTech startup that’s on a mission to make a real dent in the fight against climate change. They’re building a data and software platform designed to help businesses measure, manage, and mitigate their carbon footprint — and now they’re hiring their first Founding ML … talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI … LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. More ❯

Founding ML/AI Engineer | ClimateTech | London (Hybrid) I’m working with a pioneering ClimateTech startup that’s on a mission to make a real dent in the fight against climate change. They’re building a data and software platform designed to help businesses measure, manage, and mitigate their carbon footprint — and now they’re hiring their first Founding ML … talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI … LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. More ❯

Founding ML/AI Engineer | ClimateTech | London (Hybrid) I’m working with a pioneering ClimateTech startup that’s on a mission to make a real dent in the fight against climate change. They’re building a data and software platform designed to help businesses measure, manage, and mitigate their carbon footprint — and now they’re hiring their first Founding ML … talented science team. Identify new and unconventional data sources to feed into those models. Work with engineers to productionize model outputs through APIs. Partner with product teams to bring ML-powered insights into real customer-facing products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI … LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/AI experience. Strong background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. More ❯

Member of Technical Staff (Applied ML) – Agentic AI 📍 London, UK - Hybrid/Flexible (must be UK-based already | 💰 £200k+ & Equity A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen. Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from … experimentation to full-scale production without the need for a massive ML engineering organisation . An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber , backed by some of the world’s most influential investors . With offices in London and San Francisco , they’ve just completed a major funding round and are scaling … toward Series A in early 2026 . The Role We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world. You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason More ❯

Member of Technical Staff (Applied ML) – Agentic AI 📍 London, UK - Hybrid/Flexible (must be UK-based already | 💰 £200k+ & Equity A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen. Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from … experimentation to full-scale production without the need for a massive ML engineering organisation . An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber , backed by some of the world’s most influential investors . With offices in London and San Francisco , they’ve just completed a major funding round and are scaling … toward Series A in early 2026 . The Role We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world. You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason More ❯

Member of Technical Staff (Applied ML) – Agentic AI 📍 London, UK - Hybrid/Flexible (must be UK-based already | 💰 £200k+ & Equity A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen. Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from … experimentation to full-scale production without the need for a massive ML engineering organisation . An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber , backed by some of the world’s most influential investors . With offices in London and San Francisco , they’ve just completed a major funding round and are scaling … toward Series A in early 2026 . The Role We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world. You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role click apply for full job details More ❯

science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation … Python, SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics More ❯

science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation … Python, SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics More ❯

science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation … Python, SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics More ❯

science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation … Python, SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics More ❯

technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python … model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private More ❯