226 to 250 of 3,264 Machine Learning Jobs in the UK

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. A track record in leading the architecture vision, design ...

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

optimization Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact … initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models ...

Depending on the project, you'll also contribute to modern data and AI solutions including: Python automation SQL development Data engineering AI-enabled applications Machine Learning platforms Large Language Model integrations Intelligent workflow automation Consulting & Client Engagement This is what makes the role unique. As an Associate Consultant … Consultants receive structured mentoring and support to develop both their technical and consulting capabilities. Typical development opportunities include: AWS Certifications Microsoft Azure Certifications AI & Machine Learning training Client workshops Presentation coaching Solution architecture exposure Technical leadership mentoring ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

DevOps AI Platform Architect , you will be designing, building, and optimizing scalable AI platforms that enable organizations to develop, deploy, and manage AI/ML solutions efficiently and securely. This role aligns with my passion for cloud computing, DevOps practices, automation, and artificial intelligence, allowing me to create robust platforms … platform engineering, and cloud-native ecosystems to drive innovation. Your Skills: Define and document global AI platform patterns Discovery Zone BYOD end-to-end ML lifecycle reference architectures and obtain approvals through architecture forums Design Model Serving Architecture Partner with the AI Tech Lead on the Model Serving ...

making Building analytical and AI solutions for environmental and utility-sector challenges Developing data pipelines and workflows for operational, sensor, and engineering datasets Applying machine learning, statistical modelling, and optimisation techniques to large-scale datasets Supporting sustainability, environmental monitoring, and regulatory reporting initiatives Presenting findings and recommendations … real – what does it mean for you? Exposure to top global companies working withCapgemini (145 of the Fortune 500 companies) Open access to digital learning platforms Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini Capgemini is proud to be a Disability Confident Employer ...

Ideal Qualifications (but not required) You have experience in building AI applications within financial services. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What … automated decision‐making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together ...

firm’s business objectives. You will work on challenging Cloud‐native data, backend engineering, and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands‐on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … data, AWS and AIML engineering in commercial settings, preferably in the financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

position supports project delivery by participating in planning discussions and following established methodologies. The role involves contributing to software design at the component level, learning and applying best practices through hands-on work and code reviews, and developing communication skills by engaging with team members to understand requirements … your workflow. Contributing to ELT and ETL pipelines for data ingestion into search, graph, and relational data stores. Writing clean, well-tested code and learning best-practice software engineering principles, including CI/CD. Contributing to cloud infrastructure on AWS, with support from the wider team. Participating in code ...

high‐ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity … deliver them end‐to‐end, from first principles through to being deployment‐ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

PROFILE We’d love to meet someone with: Proven experience leading complex data science, Agentic & Generative AI, and analytics projects, delivering value across the ML lifecycle using strong foundations in statistical modelling, natural language processing, time-series analysis, spatial analytics, and mathematical modelling methodologies. Experience managing the delivery … able to build and maintain stakeholder relationships and influence effectively within a matrixed consulting environment. The ability to apply domain expertise and AI/ML innovation to solve client challenges, and present clear, compelling insights to diverse audiences. A proactive approach to business growth - identifying opportunities, contributing to proposals ...

About Signal Ocean Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed … while diving deep into our products and/or the shipping world. Career growth opportunities and a structured development discussion every 4 months. Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). Regular team bonding events and activities. Fitness benefits to support ...

working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka or Structured Streaming. CI/CD and DevOps practices. Docker and Kubernetes. Exposure to Machine Learning pipelines. Experience within Financial Services or other highly regulated environments. About You You'll be an experienced Data Engineer or Technical Lead ...

software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands‐on experience building applications with LLMs such as Azure OpenAI … monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain ...

make sound architectural and engineering decisions, and proactively remove technical or organisational blockers to enable effective and timely delivery. Maintains a commitment to continuous learning while building strong, trusted relationships with technical teams, security partners and business stakeholders to drive collaboration, capability uplift and shared ownership of outcomes. Additional … Criteria Experience using AI and machine learning concepts to analyse identity related data (e.g. -sign in- logs, access patterns, usage trends) Knowledge of AI assisted-automation use cases within IAM: Access or sign in anomaly detection Risk based- access decisions Intelligent access reviews or entitlement recommendations Experience with ...

with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications in containerised environments, including defining services … employees are eligible to request flexible working arrangements. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external ...

security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks. Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization. Advanced proficiency ...

ecosystems using Azure, AWS or GCP Data strategy, operating models and transformation roadmaps Data governance, data quality and wider data management initiatives AI and machine learning use cases that support business growth and innovation Programme governance, planning, risk management and delivery activities Cross-functional teams including Architects, Engineers ...

delivering production-ready AI projects. Experience in the legal domain or with legal applications is highly desirable. Technical Skills: Strong understanding of AI, machine learning, and AI agents. Good knowledge of workflow applications and process automation. Soft Skills: Exceptional collaboration and teamwork skills, with the ability to work … weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Bachelor’s degree or equivalet experience; Master’s degree is a plus ...

work relates to that. Take ownership of the system produced. Contribute to a strong team sense of identity and spirit. Foster a learning culture within the team. Work within best practices for secure, compliant, and reliable systems. Essential 5+ years experience in software engineering Professional understanding of agile concepts … Familiarity with messaging systems such as Kafka, RabbitMQ or similar Proficiency with monitoring tools like Prometheus, Grafana, or ELK Stack Experience with AI/ML integration in backend systems. Why Join Us At Lockwood, you’ll be part of an inclusive, creative, and highly motivated team. You’ll work ...

Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. Hands‐on experience with object‐oriented software development using languages such ...

code written by others Defines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms Champions the use of AI, machine learning, and advanced analytics to deliver real-time trade processing applications Identifies opportunities to eliminate or automate recurring issues to improve overall operational ...