376 to 400 of 5,524 Machine Learning Jobs in the UK

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 ...

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 ...

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 ...

science, Engineering, Data Science, or a related technical field. Significant experience across product development and engineering with a significant portion focused on AI/ML-driven products, with heavy exposure in recent years to Generative AI. Deep Engineering and Architecture Expertise: Demonstrated ability to design, build, and scale complex software … systems, including experience with cloud architectures, distributed systems, and modern software development practices. Proven experience in architecting AI/ML solutions, with a strong understanding of how to leverage and integrate with existing enterprise platforms and capabilities. Proven Problem Solver: A track record of identifying complex problems and delivering innovative ...

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. ...

principles, enhancing the programmability, efficiency, and resilience of network operations. Mentor and guide engineering teams, provide technical leadership and foster a culture of continuous learning and professional growth. Serve as a technical authority, advising stakeholders on network architecture, emerging technologies, and industry best practices. This role can be based … fault detection, Root cause analysis, Dynamic RF optimisation, Automated channel selection, Automated power adjustments, Client steering, Service assurance automation, Network anomaly detection Experience leveraging machine learning and analytics to improve user experience, wireless performance, service availability and operational resilience. Ability to define architectures that support autonomous network operations ...

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 ...

Longshot Systems we build advanced platforms for sports betting analytics and trading. We're hiring Machine Learning Engineers across our core ML engineering and horse racing teams. You'd be designing, building and productionising ML pipelines, tooling, visualisation, frameworks and data engineering workflows to support strategy research, analysis … latency components forward. The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade ML pipelines. We are looking for engineers who are comfortable designing robust data engineering workflows, building reliable tooling, and writing clean, maintainable Python code alongside high-performance ...

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 ...

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 ...

model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling. Collaborate with Enterprise Technology, Information Technology and Investment Risk ...