1,701 to 1,725 of 4,338 Machine Learning Jobs in the UK

analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in … 5+ years of experience applying machine learning to time-series or physiological data Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection) Proficient in Python and ML frameworks such as PyTorch or TensorFlow Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC … or ISO 13485 Experience with MLOps practices and model versioning in compliant environments Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration) Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX) Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR) Familiarity with GMLP (Good Machine Learning More ❯

be working closely with a unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. The Requirements This is a fantastic More ❯

working at the intersection of AI and trading technology. You'll collaborate with leading researchers, data scientists, and engineers to build scalable data infrastructure that supports advanced analytics and machine learning. This is a greenfield opportunity with full ownership from design to deployment, allowing you to shape systems that directly impact trading and AI capabilities. In this role, you … integrating scalable APIs, and working with vector databases such as FAISS and Pinecone. Familiarity with MLOps, LLM workflows, and RAG frameworks is essential, along with experience deploying AI/ML models into production environments. Your work will be critical to enabling rapid experimentation, research validation, and the seamless transition of prototypes into production. Key Responsibilities: Develop and maintain scalable pipelines … years in data engineering with strong SQL and cloud data platform experience. Skilled in handling unstructured data and NLP datasets. Familiar with MLOps, RAG frameworks, and deploying AI/ML models into production. Experience implementing APIs, vector databases (e.g., FAISS, Pinecone), and LLM pipelines. Knowledge of data security, versioning tools (e.g., DVC, MLflow), and time-series databases. More ❯

paced environment. The successful candidate will play a key role in providing clients with technical support to troubleshoot, diagnose, and resolve complex technical issues. You will help implement a machine learning process to increase client autonomy. In addition, you will work closely with internal teams to help translate client requirements into development plans and upgrade projects. Candidate Profile More ❯

you: Key skills: A good understanding of programming within one or both of the standard game engines (Unity and/or Unreal) using C# and C++ respectively, Python for machine learning, and experience with VR application development. Essential skills and experience: A PhD in computer science, software engineering or a similar technical field, or equivalent professional experience Experience … or C++ and Python Proficiency with Autodesk Maya modelling skinning and rigging Hands-on experience developing Metaverse/VR applications using Unity and/or Unreal Engine Experience with machine learning and AI Experience with writing and co-writing research papers Experience with image and/or audio based projects Experience with real-time system optimisation (e.g. low More ❯

Java and SQL. Experience in Oracle, Hibernate, Spring, MongoDB, Quarkus, or React will be an advantage but not a must. Preferably also know Mobile Programming, Cloud computing, AI and Machine Learning, Accounting and Financial knowledge. Must be a team player with good communication and interpersonal skills. Fluent in English. Good Reasons to Join Your work will have a … UK and worldwide. We want you to feel comfortable in your working surroundings. Therefore, we are offering you flexible working hours and mobile working arrangements. We value teamwork, continuous learning, and diversity. Kuehne + Nagel is offering you a custom-made career - through individual planning and supervisors who support and advise you in every way. You get supported by More ❯

at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets, mechanistic simulations, and predictive AI models. Your work will … with omics data analysis and integration - Hands-on expertise in developing and fitting executable models - Strong communication and teamwork skills You may also have - Network inference and analysis experienc - Machine learning experience - Track record of completed research projects (e.g., publications, tools) Benefits and Contract Information - Financial incentives: depending on circumstances, monthly family/marriage allowance of £272, monthly More ❯

globally distributed companies in the world, our team of 5,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers. Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming … as well as external customers Designing, building and maintaining data sets Data cleaning Feature engineering and extraction Modeling Experimentation Online and offline demonstrations of capabilities Building end-to-end machine learning pipelines Conduct reproducible research Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions Apply software engineering practices in our code … and its data science stack. Background and hands-on experience (2+ years) in applied algorithmic research, specifically in information retrieval, text processing, computer vision (CV), computational linguistics (NLP) and machine learning Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds More ❯

demands: Deep expertise in Data Technology , including modern data platforms, architectures, and governance Strategic vision-setting , shaping long-term direction and alignment with organisational goals Hands-on experience with Machine Learning and Generative AI , applying these technologies to real-world business challenges You’ll work at the intersection of people, platforms, and purpose—leading through influence, championing best … work onsite (3 days) with flexibility for hybrid working where applicable. Occasional travel may be required within the UK What you need : Recognised industry expert in Data Technology, including Machine Learning and Generative AI, with a strong grasp of emerging trends and their strategic application to drive business value. Strategic leader , capable of co-authoring and executing a More ❯

We are looking for an AI Engineer to join nPlan's Experimental Research Department (nERD). In this role, you will be working collaboratively with ML engineers, software engineers and data scientists to shape the future of the construction industry by building cutting edge AI applications. This is a remote role, however, occasional travel will be required to London, UK … and enhanced family and sick leave policies. About nPlan Our purpose is to inspire the world to forecast correctly and empower it to tackle risk, powered by our deep learning technology and its unique ability to forecast the outcomes of construction projects. We're on a mission to change how construction projects are planned, managed and executed, and in … Build core infrastructure that allows us to build LLM apps quickly - this includes observability, how we work with several LLM providers + our own fine tuned models Work with ML engineers and data scientists in our research team to bring new models and applications to production Be a leader in best practices and implementing AI across the whole company, keeping More ❯

the market right now. They have just implemented Gen AI within their organisation and are looking to utilise the newest technologies on the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and More ❯

the market right now. They have just implemented Gen AI within their organisation and are looking to utilise the newest technologies on the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and More ❯

great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days holiday + 8 bank holidays … A Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount Free unlimited Udemy account for every employee to support their continuous learning and improvement More ❯

Strong proficiency in Tableau and Excel Relevant degree subject (Maths, Statistics, Data Science or another Science related subject) An interest in finance and the investment management industry Exposure to machine learning Excellent communication skills and business acumen Creativity and action-orientated Apply for this job More ❯

and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Oho Group Ltd We're looking for an exceptional AI/ML graduate or postgraduate to join our ambitious team and play a key role in building the future of personalised education. You'll be at the core of enhancing our multi … in Machine Learning, Computer Science, or a related field from a Russell Group university At least 2+ years of hands-on experience developing production-grade AI/ML systems A flawless academic record in secondary and higher education Proven experience in prompt engineering for complex applications Strong expertise in LLM fine-tuning and optimisation Willingness to work from … and Engineers: AI for Quantum London, England, United Kingdom 2 months ago London, England, United Kingdom 1 day ago London, England, United Kingdom 1 month ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 5 months ago London, England, United Kingdom 5 months ago London, England, United Kingdom 5 months ago Machine Learning Engineer for Game More ❯

Engineering, or equivalent. 5+ years in mechatronic system development and validation. Proficiency in AutoCAD, SolidWorks, or similar 3D CAD tools. Strong understanding of mechanical engineering principles. Experience in scalable machine design, cost reduction, and maintainability. Ability to manage complex projects independently in a dynamic environment. Fluency in English. Preferred Qualifications MSc in Mechanical, Mechatronics, Automation Engineering, or equivalent. Experience … with PLM software and ECOs. Familiarity with simulation/emulation software like FlexSim, Emulate3D, Visual Components. Data analytics skills with SQL, Amazon Quicksight, etc. Experience with Machine Learning, IoT, AI platforms. Proficiency in German or French is a plus but not required. Amazon values diversity and is an equal opportunity employer. For accommodations during the application process, visit More ❯

and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience & Skills: 7+ years engineering experience … with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯

management of advanced predictive models and automated decision frameworks for underwriting, customer management, collections, and fraud. Champion data-led innovation, bringing in new data sources (e.g. Open Banking) and machine learning techniques to support lending growth and automation. Lead the production of portfolio-level reporting and MI, with clear accountability for credit performance, pound loss curves, and key … . Prior ExCo or Board Committee membership. Experience working with funding structures, covenant monitoring, and investor reporting. Background in a regulated high-growth or scale-up fintech. Familiarity with machine learning techniques and their application in credit risk modelling. Competitive salary 25 days annual leave Pension Death in Service Provision Private health insurance Subsidised Childcare Subsidised Gym Membership More ❯

for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Required/Minimum Qualifications Bachelor's Degree in Computer Science, or related technical discipline AND technical … source contributions, and/or on-the-job work experience. Deeper expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning and direct preference optimization, data curation, LLM inference, orchestration, evaluation pipelines, and deployment. Additional or Preferred Qualifications Bachelor's/Master's Degree in Computer Science or related technical … AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment More ❯

optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance analysis. Create … therapeutics. Drive foundational research efforts for the company's biological AI models, including leading projects related to protein-focused foundation models. Requirements PhD in Transcriptomics, Computational Biology, Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch … or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry, and/or biophysics, with a clear understanding of molecular biology principles and the structure-function relationships of biological macromolecules. Demonstrated ability to design and execute computational experiments, and More ❯

turning data into clinically valuable insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to post-marketing surveillance. We are … committed to invest in continuously enhancing our validated and peer reviewed disease optimised machine learning Ai analytics services and our infrastructure and technology to support our ambitious growth strategy. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability More ❯

turning data into clinically valuable insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to post-marketing surveillance. We are … committed to invest in continuously enhancing our validated and peer reviewed disease optimised machine learning Ai analytics services and our infrastructure and technology to support our ambitious growth strategy. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability More ❯

lead analysis of complex data sets to uncover insights that drive strategic recommendations for AI roadmaps, operating models and technology decisions Manage diverse teams spanning data engineers, AI/ML experts, business analysts and client personnel to deliver AI solutions within scope, timeline and budget Build meaningful relationships with key client stakeholders and executive sponsors to manage expectations and gain … team members to help them grow consulting, AI and leadership capabilities Proactively identify and mitigate risks associated with AI solution development and implementation Cultivate a culture of innovation, continuous learning and knowledge sharing within AI consulting teams Qualifications: 10+ years of management/strategy consulting experience … including 2-3 years as a Partner or equivalent role Bachelor's degree required from top rated university; graduate degree or MBA preferred Required Skills: Expertise in AI/ML technologies, data engineering, cloud architecture, and software development life cycles Demonstrated ability to structure and solve ambiguous, data-driven business problems Strong communication and executive presentation skills with ability to More ❯

lead analysis of complex data sets to uncover insights that drive strategic recommendations for AI roadmaps, operating models and technology decisions Manage diverse teams spanning data engineers, AI/ML experts, business analysts and client personnel to deliver AI solutions within scope, timeline and budget Build meaningful relationships with key client stakeholders and executive sponsors to manage expectations and gain … team members to help them grow consulting, AI and leadership capabilities Proactively identify and mitigate risks associated with AI solution development and implementation Cultivate a culture of innovation, continuous learning and knowledge sharing within AI consulting teams Qualifications: 10+ years of management/strategy consulting experience … including 2-3 years as a Partner or equivalent role Bachelor's degree required from top rated university; graduate degree or MBA preferred Required Skills: Expertise in AI/ML technologies, data engineering, cloud architecture, and software development life cycles Demonstrated ability to structure and solve ambiguous, data-driven business problems Strong communication and executive presentation skills with ability to More ❯

Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary team, you’ll help shape next-generation tools across areas such as multi … impact use cases. Key Responsibilities • Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications • Design, implement, and evaluate ML models for structured and unstructured data • Contribute to R&D proposals, technical reports, and demonstrator systems • Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation … Support mentoring and knowledge sharing within the wider AI/ML group About You • PhD or Master’s degree in Computer Science, Machine Learning, Data Science, or related field • 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) • Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn More ❯