326 to 350 of 5,519 Machine Learning Jobs in the UK

development of Slalom's data engineering accelerators, frameworks, and methodologies. Share knowledge through internal presentations, documentation, and mentoring. Participate in Slalom's learning culture and pursue continuous professional development. Whatyou'llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding … Solutions Architect - Associate, or AWS Certified Developer - Associate Experience withstreaming data architecturesand real-time analytics Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool ...

Kingdom Job Description As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms Applied Artificial Intelligence and Machine Learning (AI/ML), you will join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across … opportunity to create new systems and capabilities that will accelerate our business. The ideal candidate brings a strong foundation insoftware engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this role, you will collaborate closely ...

data team and wider business to support delivery of additional project components (API interfaces, Data Models, Data Sharing, RDM/MDM tools, ML Endpoints). Working within an Agile delivery/DevOps methodology to incremental change to the overall data platform to deliver additional data products to provide value … stakeholders. Working with the Group Data Science team to productionise ML pipelines into the overall data platform solution. Work collaboratively with internal stakeholders across DUAL Personal Lines including but not limited to Underwriting teams, Operations, Finance, Risk & Compliance and HR. Act as a conduit between DUAL Personal Lines and Dual ...

Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering … optimisation mechanisms. Your Skills Experienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems. Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making ...

with engineering teams to uplift security and DevOps culture across the organisation Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems Inclusive Work Culture: Collaborative environment emphasizing mutual respect Flexible Working Hours: Arrangements that … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch #J-18808-Ljbffr ...

AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. … operational excellence. Performs platform design, set‐up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

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 ...

emerging cyber and AI threats and their modeling implications Experience with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions …/CEH/CISM Certification Agile Project Leadership Hard Skills Cyber Risk Analytics Threat Intelligence Reporting Data Analysis Modeling Assumptions Translation Statistical Data Analysis Machine Learning Techniques SaaS Product Development Complex Data Types (JSON, XML) APIs Excel Soft Skills Critical Thinking Problem-Solving Executive-Level Communication Collaboration Creative ...

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 with business objectives; Create governance frameworks to meet regulatory and ethical requirements, including GDPR, FDA, and EMA; Prototype Generative … literature mining, safety monitoring, and patient programs; Collaborate with data engineers, clinicians, and business teams to tailor solutions to client needs; Deploy AI and machine learning models in production using MLOps and LLMOps practices; Use cloud platforms and data solutions to ensure scalability and operational integrity; Present data ...

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 ...

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 ...

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 ...

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 ...