501 to 525 of 6,569 Machine Learning Jobs in the UK

looking for a Machine Learning Engineer to shape and scale their pricing technology. In this role, you'll design and own ML platforms that streamline pricing workflows, support rapid model deployment, and ensure models perform reliably at scale. Partnering with Data Science, Actuarial, and Product teams. Responsibilities: Build … support ML lifecycle tooling for model deployment, monitoring, and alerting Maintain and improve the Kubeflow environment for Data Scientists and Actuaries Create pricing analytics tools to accelerate impact analysis and reduce manual work Collaborate with pricing and product teams to deliver high-impact tooling Communicate complex concepts clearly to technical ...

governance, security, privacy, lineage and quality, and how these are embedded into architecture and delivery. An understanding of the data requirements of AI and machine‐learning applications, including securely making structured and unstructured enterprise data available to AI solutions. A good understanding of modern software engineering and SDLC … architectural decisions and trade‐offs to technical and non‐technical colleagues. Desirable experience Architecting applications or platforms incorporating generative AI, large language models or machine learning. Designing data and integration architectures for AI applications, including retrieval and grounding approaches. Building internal developer platforms, shared services or reusable application frameworks. ...

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 ...

commitments, and burst strategies. Inform buy-versus-build and capacity investment decisions with evidence. Technical Advisory and Enablement: Partner with software engineers, data scientists, ML engineers, platform engineers, product managers, and security to turn objectives into architecture and architecture into actionable roadmaps. Mentor engineers and fellow architects, and raise … platform engineering, including at least 3 years in a dedicated architecture or solution architecture role and 3 years working on Data, Cloud, AI/ML platforms or workloads. Demonstrated ownership of enterprise-scale hybrid or multi-cloud architectures spanning on-premises and public cloud environments, from design through adoption. Deep ...

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 ...

software engineering projects3+ years of proven experience in managing delivery projects with a significant AI component combined with an understanding of AI concepts including machine learning, natural language processing, generative AI and Agentic AIEvidence of managing complex technical delivery, comprising bespoke engineering rather than pure COTS solutions … place where you grow.what we'll offer you: We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work ...

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 ...

FTPS and automated data retrieval CI/CD, automated testing and deployment Platform reliability, monitoring and troubleshooting Azure infrastructure, security and governance Data Science, ML and increasingly agentic workflows The focus is production engineering rather than building AI models, creating the foundations that allow Data Science and automated workflows … platform, DevOps and systems engineering. They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they'll want to hear about them. A STEM background is beneficial, but not essential. Nice ...

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 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 ...

without formal management authority. Clear communication skills and experience working across engineering, data science, security, architecture, and product teams. Bonus pointsExperience 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 ...

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. ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering's 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business ...

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 ...