276 to 300 of 2,157 Machine Learning Jobs in the UK excluding London

join our growing team! As a member of the Data Science team, you will be instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote's long term success. What you'll do: Work with a cross-functional team to convert business problems into … scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will join a team of talented and collaborative data scientists and machine learning engineers, and have the opportunity to establish yourself as a technical contributor as our team continues to grow. What you bring ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse … technical stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. ...

opportunities, define project requirements, and drive initiatives that push the boundaries of data-driven solutions in aerospace. You'll leverage Python and lmachine learning frameworks to build scalable AI algorithms, process complex datasets, and create impactful reports and visualizations for stakeholders. Your expertise will ensure robust, compliant AI solutions … skills in Python; knowledge of R, SQL, or other languages is a plus Strong analytical and problem-solving mindset ideally focused on AI and machine learning Ability to communicate complex concepts to non-technical audiences Good project management skills, able to handle multiple projects concurrently Attention to detail ...

governance controls to protect internal equity. Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? If you are interested in developing software for cutting‐edge defence and aerospace projects such as a sixth‐generation stealth fighter jet or a revolutionary … Directed Energy product, Leonardo would like to hear from you. We are seeking Senior or Principal Software Engineers with an interest in AI/ML to join our Electronics UK business. Successful candidates will contribute to the delivery of leading‐edge solutions for challenging civilian and military projects. Responsibilities Support ...

scale behavioural and transactional data. They’re looking for an AI Engineer who enjoys sitting between research and engineering — taking new ideas across predictive ML, causal modelling and Generative AI and turning them into robust production systems. Where you’ll make an impact Take new ML and AI models from … research into production Work across traditional ML, deep learning, transformers and Generative AI Build solutions around large-scale, complex datasets Work closely with researchers, academics, product and engineering teams Contribute to architecture and longer-term technical roadmaps Lead and contribute to R&D sprints Build reliable, high-quality ML ...

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. Unfortunately we are unable to progress ...

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 and enthusiastic group, who use our expertise … 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 ...

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 ...

Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform … terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly ...

firm to have a dedicated AI department, which started in August 2023. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned … team and product portfolio grow. Main Responsibilities Take ownership of backend services and frontend applications that support the development, testing, deployment, and monitoring of ML‐enabled products Contribute to infrastructure and architecture decisions by developing a strong understanding of business and product need Maintain and extend existing, and build ...

databases and other business applications. Develop straightforward and user-friendly AI applications for web and Microsoft Teams. Develop and deploy LLM and machine learning solutions into production environments. Implement monitoring, logging and audit processes to support GDPR, ISO and wider security requirements. Work with internal stakeholders to understand … within the business. Ensure solutions are secure, scalable, maintainable and aligned with company standards. Essential Experience 2-4 years' experience in AI/ML, software engineering or a closely related field. Experience deploying LLM or machine learning solutions into production. Strong programming skills in Python and/ ...

heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo … where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

Software Engineer to join its expanding engineering team. You'll work alongside talented Software Engineers and AI specialists to develop scalable applications powered by Machine Learning and Generative AI technologies. The business is focused on delivering practical AI solutions rather than experimental research, making this an excellent opportunity … specialise in AI development. What you'll be doing Develop production-ready AI-enabled software applications. Build and maintain backend services supporting LLM and ML functionality. Integrate OpenAI, Anthropic and other AI models into enterprise software. Create scalable APIs and microservices for intelligent applications. Work with cloud infrastructure to deploy ...

datasets to develop, integrate and embed advanced computational methods and predictive in silico models that accelerate the discovery of medicines. With a focus on machine learning, cheminformatics and computational chemistry methodologies, you will help drive the development and delivery of key new capabilities for our internal BRADSHAW automated … design platform. In this role you will have the opportunity to: Build, validate and deploy machine learning models spanning cheminformatics, computational chemistry and quantum mechanics and inform go/no-go decisions across drug discovery programmes. Prototype exploratory, agent-driven workflows that combine LLM-based reasoning with cheminformatics ...

Advanced Analytics & AI, you’ll combine deep technical expertise with strong stakeholder engagement skills, helping the business unlock value through advanced analytics, AI and machine learning solutions. The Role - You'll: Support the Head of Data Science, Advanced Analytics & AI in delivering the department’s strategic objectives Apply … development of data science products from POC to production , using agile, iterative and “fail fast, learn fast” approaches Design, build and deploy robust, scalable machine learning solutions using MLOps best practices Ensure all solutions comply with organisational, regulatory and legal requirements relating to data and AI Provide technical ...

offs, and alternative approaches Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call support Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features About the Team Our Digital Content and Innovation (DC&I) team is responsible ...

computer scientists—all united by a passion for solving complex commercial problems with data and algorithms. We leverage cutting-edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision-making and drive competitive advantage. If you thrive in intellectually challenging environments and want … data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine ...

Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

technical discipline. Research Skills: Comfortable with research methodologies and experimental design. Technical Expertise: In-depth understanding of operating systems, distributed systems, cloud computing, or machine learning systems. Programming: Strong coding proficiency in at least one key language (such as C or C++). Soft Skills: Excellent communication … collaborative teamwork abilities. Desirable Criteria PhD in operating systems, distributed systems, or machine learning systems. Track record of publications in top systems (e.g., NSDI, EuroSys, SoCC, OSDI) or machine learning (e.g., NeurIPS, ICML, ICLR) conferences and journals. Hands-on experience in the full lifecycle of developing ...

innovation, and ensure our systems remain reliable and future‐ready. Job Responsibilities: Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems. Write secure, high‐quality code in Java, applying best practices for AI and data engineering. … applications. Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals. Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts and recent applied experience in software development. Deep expertise ...

heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo … where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these ...

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 ...