251 to 275 of 1,803 Machine Learning Jobs in the UK excluding London

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

role‐holder will work closely with medicinal chemists at the University of Oxford and pharmacologists at the University of Glasgow, applying virtual screening, machine learning, AI‐driven generative chemistry, pharmacophore modelling, and molecular dynamics simulations to design novel GPR84 ligands with predictable signalling bias profiles. Responsibilities Lead … computational chemistry aspects of the project, collaborating with chemists and pharmacologists. Apply virtual screening, machine learning, AI‐driven generative chemistry, pharmacophore modelling, and molecular dynamics simulations to design novel GPR84 ligands. Qualifications PhD in computational chemistry, computational biology, structural biology, biophysics, pharmacology or related discipline, to be obtained ...

organisation's data platform, including data warehouses, lakehouses, master data management solutions, and API frameworks Design the data foundations required to support AI and machine learning initiatives, ensuring high-quality, trusted, and accessible data. Partner with Data Engineering, Data Governance, and Analytics teams to ensure architecture standards … Data Mesh concepts API-led architectures Event-driven integration patterns Experience architecting solutions that support both operational reporting and advanced analytics, including AI and machine learning workloads. Strong knowledge of Azure-based data platforms and cloud architecture principles. Familiarity with Master Data Management (MDM) frameworks and technologies. Experience ...

performance reviews Deliver technology innovation initiatives that improve efficiency, advance business capability and strengthen resilience Assess, pilot and adopt emerging technologies, spanning artificial intelligence, machine learning, generative AI, intelligent automation and modern cloud tooling, aligned to architecture, security and resilience requirements Translate business technology strategy into actionable roadmaps … cyber security and resilience The ability to lead, manage and develop a team Proven success assessing, trialling and implementing emerging technologies, including artificial intelligence, machine learning and intelligent automation, balancing innovation against risk and regulation An analytical, commercially minded eye for the business value, feasibility and resilience impact ...

Data Scientist Join a growing Data Science team within an insurance business where you'll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much … building models. The Role You will: Build, validate and deploy machine learning and statistical models Work with Python, SQL, Databricks and PySpark to analyse large datasets Solve pricing and risk-related business challenges Explore new data sources and test innovative ideas Own projects from problem definition through ...

Join us at Barclays as an Integrated Financial Crime Model Developer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. You will work within the Integrated Financial Crime portfolio, a large scale programme bringing together over … robustness, accuracy and performance of existing models. To be successful in this role, you will have experience in the following areas: Strong experience in machine learning and advanced analytics. Advanced Python skills for data processing and model development. Proven experience working with Databricks. Solid software engineering practices, including ...

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 ...

Scientist to join our Pricing team in London. This is a rare chance to shape how Wise prices cross-border money transfers using data, machine learning and experimentation to keep pushing prices down while staying sustainable. What you build will have a direct impact on Wises mission … data-driven approach to pricing strategy and execution in a highly competitive remittance market. As part of this team, you will leverage advanced analytics, machine learning, causal inference and robust experimentation to help Wise push price down, deepen our understanding of customers, and maintain a competitive edge. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 rolewillbe responsible fordesigning, developing, and implementing AI solutions to solve complex problems and enhance our products andservicesresulting ...

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 ...

made rapid progress in generating plausible content for human-machine dialogue. Generally, formal approaches to dialogue can be less flexible than ML based-approaches, however, ML-based approaches can easily go off piste and diverge from human expectations. The goal of this project is to bring together the advantages … state of the art conversational AI. The novel contribution will be a theoretical and applied model that brings together useful elements of formal and ML based approaches to conversational AI. Academic qualifications A first degree (at least a 2.2) ideally in Computer Science with a good fundamental knowledge of Machine ...

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. ...

want to shape the frameworks that ensure the world’s ML workloads run successfully on Arm technology? We’re looking for an experienced and analytical engineer to design and develop software that powers ML validation across our next-generation platforms. About the Team We are a team of engineers passionate … improving Machine Learning performance across Arm’s diverse ecosystem. Our mission is to develop scalable, efficient, and trusted workflows that enable ML software to release on time and to quality, across CPUs, GPUs, NPUs, and emerging compute architectures. We create the frameworks, automation and other tooling that power ...