401 to 425 of 6,120 Machine Learning Jobs in the UK

team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills ...

architecture across ingestion, storage, transformation, and analytics layers Build and optimise Power BI reports and semantic models for actionable insights Integrate Azure AI/ML capabilities into solutions, including predictive analytics, large language models, and automation workflows Drive pre-sales and client engagements, including solution shaping, proposals, and presentations Ensure … architectures Experience building and optimising data pipelines using SQL, Python, and/or Spark Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating AI-driven insights (e.g. predictive models, NLP, or LLM-based solutions) into data platforms ...

advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities: Architect, develop, and productionize autonomous and assistive AI agents … Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands-on experience ...

used by analysts worldwide with direct visibility to your contributions • Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies • Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks • Flexible environment – Work from our Manchester office with hybrid flexibility, competitive … cross-functional teams and communicate technical concepts clearly What Would Make You Stand Out: • AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

YOUR ROLE Assessing and implementing robust MLOps framework, governance and best practices as per industry standards Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management Delivering solutions using the latest GenAI … requirements and build out solutions. Experience of designing and implementing MLOps strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing ...

Power BI Service administration Expert Python development for data, analytics and automation Experience integrating REST APIs and multiple data sources Knowledge of traditional machine learning techniques, including tree-based models (e.g. Random Forest, CatBoost), feature engineering techniques such as TF-IDF, and experience evaluating and deploying AI/ML solutions in commercial environments Excellent problem-solving, communication and stakeholder management skills Strong software engineering practices (OOP, testing, Git, documentation) Understanding of modern analytics engineering ...

analytics to enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine … optimization and pharmacovigilance Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectives Create governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR ...

questions are complex, the data is challenging and the outcomes genuinely matter. You'll work alongside experts from a range of disciplines, using machine learning, AI and advanced analytics to solve problems that have real-world impact. You'll be trusted to explore, experiment and develop practical solutions … science solutions, combining analytical thinking with strong engineering principles to build models that can be relied upon in production. Your work could involve: Developing machine learning models that solve complex operational challenges. Working with structured, unstructured and streaming data to uncover meaningful insights. Designing scalable data pipelines ...

best practices. Programming & Data Science: Hands‐on experience with Python or R for analytics, modelling, and automation. AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insights. ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. Cloud Platforms: Familiarity … SaaS applications, APIs, and public data sources. Proven track record of delivering data‐driven insights, advanced analytics, and predictive models. Experience implementing AI or machine learning solutions for business intelligence is advantageous. Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, or a related field. ...

best practices. Programming & Data Science: Hands-on experience with Python or R for analytics, modelling, and automation. AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insights. ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. Cloud Platforms: Familiarity … SaaS applications, APIs, and public data sources. Proven track record of delivering data-driven insights, advanced analytics, and predictive models. Experience implementing AI or machine learning solutions for business intelligence is advantageous. Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, or a related field. ...

systems to address business challenges, enhance decision-making, and drive innovation. Responsibilities: Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You'll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

complex challenges with cutting‐edge technologies. You will work with key client stakeholders to understand business requirements and design solution proposals. You will use machine learning algorithms and other tools to develop and execute data models. You will consult with key internal and external stakeholders to determine … meeting with client stakeholders to discuss their business requirements. Design and implement a data pipeline for processing large datasets. Develop and execute a machine learning model to solve a business problem. Present your findings and recommendations to a variety of audiences. Collaborate with other engineers and data scientists ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based … decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses ...

Mentorship & Delivery** Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable … Orchestration & Development:** Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...

similar technologies Optimize data pipeline performance, ensuring data accuracy, reliability, and timely delivery Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement Stay up-to-date with the latest trends and best practices in data engineering and AI, and apply them to our projects … technologies and tools to enhance our data engineering capabilities Contribute to the development of AI-powered features and products, leveraging your knowledge of machine learning and data science concepts Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 7+ years ...

trading and investment opportunities. Accountabilities AI Engineering & Platform Development Design and develop shared AI platform capabilities used across Global Markets. Build scalable infrastructure for machine learning and generative AI workloads. Define architectures for model deployment, inference, orchestration and monitoring. Develop reusable frameworks, APIs and services that accelerate … Proven track record delivering large-scale engineering or AI platform initiatives. Expert Python development skills. Strong software engineering and architecture experience. Experience building production machine learning or generative AI systems. Excellent understanding of distributed systems, APIs and modern software architectures. Experience working with cloud-native environments and container ...

fulfil your potential with meaningful careers.**ROLE SUMMARY:**We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes.You will work closely with software engineers, SREs, product managers, platform teams … with commercial awareness and the ability to translate complex data into actionable insights and measurable business value.## **WHAT YOU'LL BE DOING:**### AI & Machine Learning Solutions* Design, build and deploy machine learning models to solve operational and business challenges.* Develop predictive analytics capabilities focused ...

collaborating closely with architects, AI specialists and client stakeholders. You'll play a key role in delivering production-grade data platforms that support analytics, machine learning and AI workloads across industries including financial services, retail and the public sector. Alongside client delivery, you'll contribute to engineering best … scalability and cost efficiency. Collaborate with architects and customers to translate business requirements into production-ready data solutions. Support integration with downstream analytics, BI, machine learning and AI workloads. Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential ...

machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation … learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial ...

architectures that deliver scalability, resilience, security, compliance and operational supportability. AI and Modern Data Innovation Design AI-ready data platforms that support advanced analytics, machine learning and Generative AI workloads. Architect solutions leveraging Azure AI Services, Microsoft Foundry, Copilot Studio, Azure OpenAI and Microsoft Fabric capabilities where appropriate. … leadership across multiple projects whilst ensuring consistent quality and delivery excellence. Data and AI Expertise Demonstrable experience designing modern data platforms supporting analytics, reporting, machine learning and AI workloads. Strong understanding of data architecture, data modelling, master data management, governance and data lifecycle management. Experience implementing scalable ...