326 to 350 of 2,082 Machine Learning Jobs in the UK excluding London

fully remote for the right person The role This is a genuine dual role: real line management and delivery leadership across the Lab's ML engineering function, plus a meaningful hands-on contribution to technical delivery yourself. You'll manage a growing team of ML Engineers and Scientists, shape ML … stay close enough to the work to actually lead it technically, not just report on it. What you'll do Line-manage and develop ML engineers: coaching, mentoring, feedback, and input into hiring and onboarding. Stay hands-on with technical delivery on selected projects, alongside your leadership responsibilities across multiple ...

join a multidisciplinary analytics team supporting the delivery and transformation of services within the Later Life Service Group. The team delivers insight, advanced analytics, Machine Learning, and Artificial Intelligence solutions that help improve services, support strategic decision-making, and drive measurable outcomes. Working closely with stakeholders across Service … complex data sets, develop innovative analytical products, and influence decision-making through evidence-based insight. Key Responsibilities Lead the development of advanced analytics, Machine Learning, and Artificial Intelligence solutions to support business decision-making. Explore and analyse complex data sets to identify trends, opportunities, and solutions to business ...

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 ...

chance to leverage the latest advancements in technology to create solutions which are centred around Natural language processing (NLP), Machine learning (ML), Deep learning (DL) and Neural Networks. You will be hands on with the development while leading a small yet highly capable team of data scientists … years experience in a data science positionPythonRSQLEnjoys the idea of remaining hands on but also taking on leadership responsibilitesPreferred: A relevant degreeNatural language processingMachine learning Deep learning Neural Networks. Salary: 60 000 to 75 000.Location: Near Fleet ...

critical role in expanding the impact of our Data & AI products across the Trips domain. You will define strategy and long-term vision for ML-powered capabilities that enable Trips product teams to move faster, make better decisions, and deliver step-change improvements in customer experience and marketplace performance. … liaison between Data & AI and the Trips product organization , serving as a trusted partner to senior product and business leaders. You will bring deep ML domain expertise , consult closely with product teams, and collaborate on identifying and shaping high-impact AI-driven opportunities across attractions, flights, and ground transport. This ...

forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise;knowledge … Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability ...

title - AI & ML Systems Engineer Our client, a Cambridge based AI and ML Consultancy have an opportunity for an AI & ML Systems Engineer to join them. The role is mainly remote working with only one day per week when the AI/ML Engineer is required to be on site … client is willing to consider each application depending on number of years' experience About the role: Our client is seeking a versatile AI/ML & Systems Engineer to lead the architecture, machine learning development, and cloud integration for a next-generation asset monitoring and predictive platform. In this ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understandingand developingof AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such asprompt engineering, retrieval-augmented generation ...

Data Science/ML Engineers Location - Glasgow, (Edinburgh is also fine) Duration - 6 months Onsite Requirements - 2-3 days onsite Skills Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning … these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches Experience working ...

Data Science/ML Engineers Location - Glasgow, (Edinburgh is also fine) Duration - 6 months Onsite Requirements - 2-3 days onsite Skills Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning … these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches Experience working ...

Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama ...

Senior Research Engineer - AI/Deep Learning/LLM/Python Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods … deep learning, reinforcement learning and generative models. This is a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading engineering efforts on complex research projects in machine learning and AI Optimising algorithms and ensuring the scalability and robustness ...

proficiency in modern programming languages and software development practices (e.g., version control, CI/CD, automated testing). Hands-on experience delivering AI or machine learning solutions at scale, including model development, deployment, and ongoing operations (MLOps). Experience with large language models (LLMs), generative AI techniques … applications in operational, trading, or engineering domains (e.g., optimisation, forecasting, natural language interfaces to enterprise data). Formal training or certification in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent). Why join us? Were committed to supporting leaders who want ...

language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement learning. Experience with research from previous internships, full-time industry experience, personal projects … extend and improve on Google's product offering. Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review ...

design, and machine learning. Design and run experiments, iterate based on results, and document and share learnings with the team. Use pre-trained ML models, and train or fine-tune models on internal datasets with proper evaluation and validation. Communicate regularly with team members, the team lead, and cross … data science or a related field (Master's degree preferred).Proficient in at least one programming language—ideally Python—with experience in common ML libraries. Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs).Comfortable working with relational, NoSQL, and graph databases. Strong data-processing skills, including ...

that can drive your career in new and exciting ways In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business … templates for emerging technologies based on client delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural ...

Technology Ltd is seeking an experienced embedded firmware/systems engineer with expertise in machine learning … machine vision. The role involves working directly with customers to translate requirements into deliverable embedded solutions, using Python, C and C++ with ML frameworks, and developing production-ready code. You will define software architecture, system requirements and use cases, collaborating with the wider team and reporting to the Head ...

Platform Owner, this role will be a senior technical leader responsible for the strategy, design, and implementation of advanced AI and ML use cases across the firm. The role is a member of AI leadership and is responsible for managing and motivating a team of skilled IT professionals and directing … integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have a strong background in machine learning, data analysis, and software development. The role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance ...

Senior/Principal ML Systems Architect (TensorFlow + Python) Overview We are 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. Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing, and reproducibility standards. ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML … teams by enabling efficient data loading, dataset management, and cloud-based training workflows. You'll work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data ...

software engineering concepts, plus 5+ years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging … Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning concepts and their practical applications. Experience building self-service ML tooling - model catalogues, automated pipelines, feature stores, and explainability (SHAP, LIME) surfaced to non-technical users. Understanding of industry-standard validation and testing for LLMs ...

Qureight Ltd seeks a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning models for volumetric CT data, focusing on foundation-model pre-training, supervised model specialisation, segmentation, classification … biomarker extraction pipelines that support clinical-trial and real-world evidence programmes. You will work within the Machine Learning function alongside ML Engineers, Data Scientists and Imaging Specialists to translate research ideas #J-18808-Ljbffr ...

with the communities in which we work and live. It is personal to all of us. Julie Sweet, Accenture CEO Key responsibilities Deploy machine learning models to production and implement measures to monitor their performance Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based … Infrastructure as Code tools (e.g. Terraform or CloudFormation) Strong understanding of data modelling and system architecture Demonstrable experience on at least one AI/ML project Knowledge of common machine learning frameworks and models A good understanding of approaches to monitoring ML models in production Experience leading ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series ...