451 to 475 of 6,120 Machine Learning Jobs in the UK

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 ...

capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced … knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures Familiarity with observability tools and frameworks ...

technical peers alike. Enabling Innovation: Designing usable data models and building reliable foundations that empower others to launch advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximise performance, reduce latency, and optimise cloud costs across AWS, Azure, or Google Cloud. … mind. Flexible Working: We champion hybrid working, providing a home office setup budget to ensure you're comfortable and productive wherever you are. Learning & Development: Invest in yourself with access to Udemy Business and a dedicated learning and development budget for continuous growth. Lifestyle Perks: Make the most ...

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 Education Bachelor’s degree or equivalet experience; Master’s degree is a plus ...

reuse. Help reduce one-off security consultations by embedding approved security decisions into tooling, templates, and standard delivery workflows. Requirements : Essential - Experience in machine learning engineering. Strong experience in cloud security engineering, application security, security architecture, DevSecOps, or security automation. Hands-on experience with at least one major … Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- LexisNexis Intellectual Property Solutions (LNIP) is the global leader ...

system analysis, recommending changes, and integrating new policies, procedures, and technologies. Stay current with emerging tools, programming techniques, and industry best practices through continuous learning, professional engagement, and adoption of modern technologies (including open source). Ensure quality and reliability by actively participating in testing, validation, and certification processes … successful in this role you will need the following: Technical Expertise: Proven experience with cloud-based systems and architectures (Azure, AWS, IoT, AI/ML), DevOps practices, CI/CD pipelines, RDBMS (MS SQL, Oracle, PostgreSQL), and integration technologies (APIs, REST, SOAP, webhooks). Proficient in an enterprise language such ...

formal management authority.* Clear communication skills and experience working across engineering, data science, security, architecture, and product teams.## Bonus points* Experience with AI or machine learning platforms, model-serving infrastructure, MLOps, or data-intensive services.* Knowledge of advanced networking, API management, distributed systems, service mesh, or zero-trust … teams:** We bring together software engineers, data scientists, security specialists, product partners, and technical leaders to deliver dependable systems.**Continued development:** We support continuous learning, deeper technical specialization, and broader architectural responsibility.## Equal opportunity and reasonable accommodationsWe are committed to equal opportunity and an inclusive recruitment process. We welcome ...

integration and continuous delivery, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and its technology systems Practical cloud-native experience Hands-on experience using ...

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 ...

Experience with data orchestration tools (Airflow, Step Functions, etc.). Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. #J-18808-Ljbffr ...

structure we service. Next-Generation Platform Intelligence Building the AI foundations that make every future capability more powerful - predictive analytics, enterprise knowledge management, continuous learning models, and the intelligent infrastructure that underpins a truly AI-native Fund Services platform that compounds in value over time. What we'll need … Computer Science, Engineering, Data Science, or a related technical field Relevant experience across product development and engineering, with significant focus on AI/ML-driven products and heavy recent exposure to Generative AI Demonstrated ability to design, build, and scale complex software systems - including cloud architectures, distributed systems, and modern ...

company, and how work relates to that. Take ownership of the system produced. Contribute toa strong teamsense of identity and spirit. Foster a learning culture within the team. Work withinbest practices for secure, compliant, and reliable systems. Essential: 5+years experiencein software engineering Professional understanding of agile concepts and processes … interactive systems. Familiarity with messaging systems such as Kafka,RabbitMQor similar Proficiencywith monitoring tools like Prometheus, Grafana, or ELK Stack Experience with AI/ML integration in backend systems. Why Join Us At Lockwood,you’llbe part of an inclusive, creative, and highly motivated team.You’llwork on systems used ...

catalyst for accountable growth, not a brake. What We Are Looking For Engineering & Technical Leadership Substantial experience leading software engineering, data, or AI/ML teams, typically 12+ years of relevant experience with several in a leadership capacity, delivering production-grade solutions at enterprise scale. Strong hands‐on foundations … example Python, SQL, cloud‐native platforms, data pipelines), enough to set technical direction credibly and make sound architecture decisions. Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. ...

data science, statistical modelling, or large-scale data analysis. Experience developing front-office applications, automation frameworks, or other business-critical software. Experience building AI, machine learning, or LLM-based solutions. Familiarity with financial markets, electronic trading systems, Equities, ETFs, Delta One products, distributed systems, or KDB+/q. ...

e.g., LangGraph, AutoGen, CrewAI). Hands‐on expertise with Generative AI (LLMs, prompt engineering, fine‐tuning). Proficiency in Python and familiarity with deep learning/NLP libraries (LangChain, PyTorch, TensorFlow, HuggingFace Transformers). Experience with building Q&A systems and retrieval‐augmented generation pipelines. Knowledge of vector databases … concepts into business outcomes. Experience in workshops, solution roadmaps, and executive presentations. Education & Experience Bachelor’s/Master’s in Computer Science, AI/ML, or related discipline (or equivalent experience). Experience in AI solution delivery and client‐facing consulting roles. Why This Role Matters Agentic AI and Generative ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience in Computer Science, Computer Engineering, Mathematics ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with DevOps and Site Reliability Engineering principles Preferred qualifications, capabilities, and skills Familiarity with VMware, OpenShift, Hyper ...

with information retrieval concepts (e.g., indexing, ranking, query understanding) Exposure to clickstream data, user behavior analytics, and event tracking systems Experience supporting evaluation of ML-based ranking or retrieval systems Familiarity with RAG systems or GenAI applications Why join us? Join our team and contribute to a culture of innovation … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI-enabled development patterns ...

such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and their IT systemsDemonstrated experience designing and scaling agentic AI-enabled development ...

quality. Working knowledge of Python or another programming language for analysis. Familiarity with Git, version control and modern analytics workflows. Good understanding of AI, machine learning concepts and their practical application. Ability to mentor others and raise the quality of analytical work across a team. Knowledge of music ...

Experience with data orchestration tools (Airflow, Step Functions, etc.). Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. J.P. Morgan is a global leader in financial services, providing strategic ...

Software Engineer – AI Enabled Engineering · UK We are seeking a skilled Java Software Engineer with a growing interest and demonstrated exposure to AI/ML integration. This role is primarily Java-centric — you will design and build cloud-native microservices on our BPA (Beyond Policy Administration) platform — with the expectation … leading global insurers and reinsurers. A collaborative, innovation-driven culture with exposure to modern technologies and cloud-native architectures. Professional development opportunities, certifications, and learning programs. Competitive compensation and benefits package, aligned with experience and location. #J-18808-Ljbffr ...