176 to 200 of 986 Machine Learning Jobs in the UK excluding London

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

Machine Learning and AI Developer London £600 - £680 The client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better ...

complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of-the-art AI/ML solutions, proofs of concept and research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including … Strong Python programming skills; proficiency with modern software engineering and research practices, including testing, code quality, reproducibility and collaborative development. Experience conducting AI/ML research or advanced AI development in complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise ...

Senior Machine Learning Engineer - (DV Clearable) - Multiple Headcount Location(s) : Cheltenham or London Type : 4 days on-site, 1 day at home Salary : £75,000 - £95,000 Clearance : SC (Must be eligible and willing to go through DV Clearance) Must … sole British National We're looking for Senior Machine Learning Engineers to join a supportive, multidisciplinary team developing AI/ML systems to solve cri click apply for full job details ...

maintain data pipelines that collect, clean and transform customer and internal data Develop data analysis and statistical models using R Build, test and maintain machine learning and predictive models Develop and deploy R-based applications and data workflows within AWS Work with structured and unstructured data to identify … experience in data analysis or data science 1+ years' commercial experience developing in R using RStudio/Posit Strong working knowledge of statistics and machine learning Hands-on experience building or maintaining ETL/ELT data pipelines Practical experience working with AWS, ideally including S3 and a managed ...

view of customers across multiple business domains. Description We are hiring for two specialist Lead Data Scientist positions. Position 1: Decision Science, Optimisation & Production ML You will lead the development and operationalisation of advanced decision-science capabilities, helping the business optimise customer engagement, campaign performance and commercial outcomes. Key responsibilities … scenario planning models and leadership reporting. Investigating and explaining differences between data sources, methodologies and reported outcomes. Profile Position 1: Decision Science, Optimisation & Production ML You will possess: Advanced Python skills for machine learning, statistical analysis and production data science. Strong SQL capability across complex customer, campaign ...

looking to make a difference in silicon. What they're looking for: First degree in relevant STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex scientific/engineering datasets Solid software … engineering fundamentals - testing, CI/CD, clean APIs End‐to‐end ML system ownership from data ingestion to model deployment Clear communication - writing specs, documenting APIs, presenting to customers Familiarity with circuit simulation or EDA tools (nice to have) C++/CUDA experience for performance‐critical components (nice to have ...

Lead and develop a multidisciplinary AI team , providing day-to-day management, mentorship, technical guidance and career development for AI/ML Engineers, NLP Engineers and Data Scientists. Own technical delivery , managing priorities, resources and engineering commitments while balancing rapid experimentation with production requirements. Remain hands-on , contributing Python code … Step Functions. What We Are Looking For: Proven experience as an Engineering Manager or Technical Lead with direct people-management responsibility for AI Engineers, ML Engineers, NLP Engineers or Data Scientists. Strong hands-on AI/ML engineering background, with advanced Python skills and experience developing production-grade AI systems. ...

play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets … complex business problems into software-engineered AI solutions- Deploying on cloud platforms like AWS, GCP, Azure- Contributing to open-source projects or AI/ML publicationTravel RequirementsNot SpecifiedJob Posting End DateThe salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range ...

solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Summary We're seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across … tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end. Data InfrastructureCollaborate with Data Scientist to build and own data pipelines ...

business based in Windsor, at the beginning of their journey to become a data enabled company with the adoption of advanced analytics, AI and ML operations. We're looking for a hands-on, numerically strong data professional to join a growing business and help transform its data capabilities. This … modelling. Explore AI applications to extract and validate information from documents, identify reliable data sources and automate processes. Support the integration of data and ML models within a Snowflake environment. Build data visualisations and dashboards to communicate insights to business leaders and investors. Work with stakeholders to translate business challenges ...

data and AI platform, and to design, engineer and build the AI services that run on it: LLM and generative AI solutions, agents, machine learning and predictive models, and the next generation of data and AI technology. Reporting to the Head of Data and Analytics, you will … data and analytics. Key AccountabilitiesOwn Strategic AI Platform Direction: Define the target-state AI architecture, reference designs and patterns across generative AI, agents, machine learning and retrieval, aligned with the data platform and global business goals. Design the Data-to-AI Interface: Establish how enterprise data is structurally ...

solutions that enable analytics, automation, and AI-driven business outcomes. Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads. Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote … best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Skills we would love ...

business. \n \n Do you love shaping the technical landscape and driving innovation across the organisation? \n \n Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? \n \n At Capital One, you'll be part of a community … technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. \n \n What You'll Do \n \n Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing ...

most recognised organisations. You'll work on complex Snowflake projects, helping businesses modernise their data platforms while building solutions that power advanced analytics, machine learning and AI initiatives. Working alongside highly experienced Snowflake, Data and Cloud specialists, you'll gain exposure to enterprise-scale projects, cutting-edge technologies … Snowflake Developing robust ETL/ELT pipelines using SQL, Python and Snowflake-native technologies Creating trusted, AI-ready data products for analytics and machine learning use cases Supporting cloud migration and data modernisation programmes Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables Optimising Snowflake performance, scalability ...

date: Open Until Filled The University of Bath invites applications for a full Professor in Artificial Intelligence. You will be part of the AI & Machine Learning group within the Department of Computer Science. Were particularly looking for candidates with research strength in a core area of AI, such … generative models, natural language processing, reinforcement learning, AI verification and AI security and assurance. The AI & Machine Learning group is a key strength of the department, highly regarded internationally and successful in research publication and grant capture. Our research and our strong industry connections give the group ...

Senior Data Scientist to join a growing technology business at a key stage of its journey. You'll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes. The Company They are a data-driven … SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data ...

responsibilities will includeArchitectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise. Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows. Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards. Recommend the optimal technical … Bachelor's or Master's Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.Experience:5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Lead Data Scientist/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

secure development and deployment of AI solutions. Assist with security assessments and risk reviews of commercial AI platforms, AI-enabled products, generative AI solutions, machine learning models, and internally developed AI capabilities. Support short-term, mid-term, and long-term AI-related initiatives and projects across Agilent. Collaborate … related field.8+ years of experience in cybersecurity, information security, cloud security, application security, security engineering, or related disciplines.3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives. Strong understanding of cybersecurity principlesExperience evaluating security risks associated with commercial SaaS platforms, cloud services ...

Application areas include Quantum Chemistry and materials design, Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science. The team aims to radically transform RR Engineering methods and software, applying these to emerging novel products & services. … equivalent experience, with a high quantum computing content. Experience of parallel programming for high performance computing. Experience of simulation and modelling and/or machine learning for engineering. Knowledge of state loading, matrix encoding, amplitude amplification and measurement operators Azure DevOps, Cloud compute architecture, and HPC system management ...

with a well-established organisation looking for an Operations Data Scientist to join its growing Operations Data Science function. You’ll use data science, machine learning and advanced analytics to improve how the business runs. You’ll tackle complex operational problems, challenge assumptions and turn insight into decisions … environment Forecasting, optimisation, classification, anomaly detection, experimentation or causal methods PySpark, Databricks, Azure or similar cloud and big-data technologies Deploying, integrating or monitoring ML models in production Applying generative AI or other emerging AI techniques responsibly to business problems What’s on offer £45,000 – £53,000 depending ...

+ Equity This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You'll play a key role in shaping risk and affordability modelling capabilities while … technical leaders can have a significant impact. The Role Define and lead the data science strategy across risk, affordability, and decisioning. Develop and deploy machine learning models that support lending decisions. Drive the adoption of AI and advanced analytics solutions across the organisation. Partner closely with Product, Engineering ...

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 ...