1,451 to 1,475 of 6,477 Machine Learning Jobs in the UK

developing cutting‐edge AI technologies that will transform how people manage their time, tasks, and daily lives. Key Responsibilities: Lead research initiatives in machine learning, natural language processing, and AI to enhance our suite of productivity tools. Develop novel algorithms and models to improve task automation, predictive scheduling … thought leader in Application AI. Mentor junior researchers and foster a culture of innovation within the team. Qualifications: PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in AI research, with a focus on applications in productivity tools or similar domains. Strong publication ...

Remain hands-on with architecture, technical design and implementation. Provide technical leadership across complex data initiatives. AI & Innovation Drive the adoption of Generative AI, Machine Learning and Intelligent Automation. Develop innovative solutions that create measurable business value. Evaluate emerging technologies and identify practical commercial applications. Embed responsible … enterprise-scale data platforms. Strong expertise in Microsoft cloud data technologies. Experience implementing Data Governance and Data Quality frameworks. Demonstrable success delivering AI, Machine Learning or Advanced Analytics initiatives. Excellent stakeholder management and communication skills. Experience operating in fast-paced, growing organisations. Strong commercial awareness with a focus ...

learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design and implementation. You know when and where to be rigorous and slower versus when to break and iterate quickly. You have … Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc) Experience training models for computer ...

training tasks, analyzing code, and helping improve the reasoning capabilities of next-generation AI systems. Requirements: 5+ years of professional experience in Data Science, Machine Learning, Analytics, Statistical Modeling, Data Engineering, or related fields Strong proficiency in Python and/or SQL Experience reading, writing, and reviewing analytical … work independently in a fully remote environment Availability for 30–40 hours per week Preferred Backgrounds: Advanced degree in a quantitative discipline Experience with machine learning, predictive modeling, or advanced analytics Familiarity with AI tools and Large Language Models (LLMs) Experience working with large or complex datasets ABOUT ...

optimisation of our modern data ecosystem. You'll help define technical strategy, drive engineering best practice and build the data foundations that power analytics, machine learning and operational decision making. Working closely with Data Scientists, BI Developers, Analysts and stakeholders across Technology and the wider business … warehouses, data lakes, lakehouses and streaming data platforms. Support the development of event-driven and real-time data architectures that enable advanced analytics and machine learning capabilities. Evaluate and implement modern data technologies, tools and frameworks to enhance analytics and data processing capabilities. Define and promote best practice ...

agile development methodologies. Day to day the Data Engineer will: Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to productionBuild high quality datasets from raw data using some of the latest tools and technologiesBuild … embed defined data models and data flows to the cloudDrive large batch, streaming and machine learning applications from design to productionContribute to the design, implementation and monitoring of our cloud data platform as well as innovative ways to ingest, process, store and analyse various data sourcesContribute to automation ...

identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical … datasets. Ability to communicate analytical findings clearly to non-technical stakeholders. A practical, curious and commercially-minded approach to problem-solving. Desirable Experience with machine learning and predictive modelling. Experience with Snowflake. Experience working with ETL/data integration tools, ideally Matillion. Experience with cloud data platforms ...

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 ...

measures. Design, prototype, validate, and deliver end‐to‐end data science and AI solutions, from discovery through to production. Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‐based and RAG‐enabled approaches. Support the operationalisation of models and AI solutions, including deployment … junior data scientists and contribute to reusable accelerators, best practices, and Insight capability development. Skills we can’t do without: Applied data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

experiences to drive meaningful customer impact. Description Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.- Design and execute observational and experimental studies of causal inference- Work with large, complex data sets. … highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams. Minimum Qualifications Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages for data processing ...

will: Design, build and maintain scalable data pipelines and data platformsDevelop analytics and AI-enabled solutions that support business decision-makingCreate and implement machine learning and generative AI solutionsIntegrate data from multiple sources while ensuring data quality and reliabilityWork closely with analysts, product teams and stakeholders to translate … Engineer, Data Developer or similarStrong programming skills in Python and SQLExperience building data pipelines and working with both structured and unstructured dataKnowledge of AI, machine learning or generative AI technologiesExposure to frameworks such as TensorFlow, PyTorch, LangChain or similarExperience working with cloud based data platforms and modern data ...

automation company developing next-generation intelligent systems that solve complex real-world operational challenges. Our multidisciplinary team combines expertise across robotics, software engineering, machine learning and hardware to build products that bridge the gap between advanced automation and real-world deployment. Working at the intersection of software … solving, communication and debugging skills Nice to Have Experience integrating mobile applications with device hardware or sensors Knowledge of image processing, computer vision or machine learning applications Experience designing offline‐first applications and data synchronisation strategies Exposure to robotics, embedded systems, IoT or edge computing technologies Experience working ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

Would you like to be part of a growing engineering capability in a people-centric organisation? Or perhaps work in an open and collaborative learning environment? Are you passionate about technology, people and developing your coding skills? We have got all this and more. Whatever your aspirations … them to level-up their engineering capabilities in a partnership model. Through our Delivery Centre, we help them build microservices architectures, develop AI and machine learning capabilities and operate cloud infrastructure. As part of the Delivery Centre team, you’ll collaborate with architects, technology consultants and client stakeholders ...

working primarily in Python alongside Java and Kotlin components. You design and implement RESTful APIs and microservices that serve molecular data to research and machine learning teams across our global organisation. You write high-quality, testable code for chemical registration workflows, where correctness directly affects the science that … native systems that support rapid iteration between computational molecule design and experimental validation. You work alongside scientists partnering with our Computational Sciences colleagues, our machine learning for drug development team, and Drug Discovery groups including Antibody Engineering. You grow into a new domain combining software engineering craft with ...

pipelines and agentic workflows. Build and deploy scalable web applications and microservices on AWS using Python, following cloud security best practices. Drive AI and machine learning research and development by evaluating new models, tools and technologies, creating prototypes and recommending adoption opportunities. Develop and optimise prompt engineering solutions … analysis and cloud-native technologies. What we would like you to bringStrong commercial experience developing production-quality applications in Python. Experience with AI and machine learning, including LLM integration, prompt engineering and model evaluation. Hands-on experience deploying and managing applications on AWS or a comparable cloud platform. ...

lending decisions, enhance customer outcomes and support sustainable portfolio growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders … Support the development of provisioning, forecasting and portfolio monitoring methodologies. Analyse customer, bureau, affordability and behavioural data to identify trends, risks and opportunities. Utilise machine learning and AI-assisted development techniques to accelerate model development and improve analytical efficiency. Produce robust model documentation, validation reports and governance materials. ...

Data Scientists and Engineers. You will take ownership of the platform that enables us to transition from complex exploration to full-stack, production-grade machine learning products, ensuring our solutions are high-performing, scalable, and seamlessly integrated into diverse client environments. What you'll be doing: Taking ownership … solutions for our global clients. Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning. Who we're looking for: You are a Software Engineer who is passionate about building internal tools and takes pride in creating ...

hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient … evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows ...

Providing technical leadership across key domains in data and AI*** Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you.* Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments* Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations* Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

that support education product features and platform experiences Move quickly from prototype to production, balancing speed, quality, maintainability, and user impact Integrate and productize ML/AI solutions in close collaboration with digital experience and platform engineering teams Build and maintain automation, plugins or SDKs for CAD platforms (e.g., Fusion … participate actively in code reviews and design discussions; follow security and data-handling best practices Collaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped features Document designs, APIs, runbooks and hand-off materials to product teams, and help onboard ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

Duration: 6 Months (Initial Duration) Start: ASAP Location: London (Hybrid) Pay Rate: £450 - £480 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language … platforms such as Salesforce, AWS, Microsoft technologies, data platforms, or AI agent frameworks. * Familiarity with AI-assisted development tools and automation technologies. * Understanding of machine learning fundamentals. * Experience supporting the adoption of new technology within business teams. * A consulting, technology, startup, or other fast-paced commercial background. ...