1,826 to 1,850 of 2,186 Machine Learning Jobs in the UK excluding London

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 ...

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 ...

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 ...

solutions involve custom engineering of unique solutions and experiences created from modern web-scale technologies, such as HTML5, JavaScript, Micro-Services, Cloud Computing and Machine Learning. As a technology specialist, EY offers you the opportunity to apply your skills in a highly strategic context, working on meaningful and impactful … hands-on delivery with technical leadership, mentorship, and ownership of complex systems. We are looking for someone who is ready to challenge themselves by learning new technologies, lead developer teams and understand a product from end to end. Your key responsibilitiesActively participate and own the design, development and delivery ...

improvementRequired qualifications, capabilities, and skillsPractical experience delivering system design, application development, testing, and operational stability at enterprise scaleExperience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environmentsProficiency in one or more programming languages, particularly Python and/or PySparkAdvanced knowledge … software application development and technical processes in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, and orchestration frameworksWorking knowledge of relational and NoSQL databases, vector stores, and data lake architecturesFamiliarity with observability tools and frameworksPractical cloud-native experience (AWS, Azure ...

support business approvals + security considerations). Be the AI champion/evangelist within the tech team. You will set reference architectures for predictive ML, generative AI, RAG, and agentic systems; choose platforms and patterns teams can reuse; and hold the line on quality, governance, and operational readiness. The role … Technical Competence Required experience: Azure AI Azure Foundry/Foundry IQ/AI Hub Computer Vision Document Intelligence Text AnalyticsSpeech Services Translation Services Python ML/LLMs C# .Net Standard/C# .Net Core/C# .Net SQL Server Preferred but not essential experience Unit testing and integration testing Microservices ...

Skills and Characteristics C++ or relevant Object Oriented software development Familiarity with Electronics and lower‐level firmware Using and generating documentation to create interfaces machine to machine Test frameworks and test development Microservices architecture/containerisation Development of new applications to meet user expectations and within formal constraints. … development to design and coding standards. Good teamwork and communication abilities Useful to have Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read‐across to Synergia etc.) Experience with Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level Formal Qualifications What you will ...

Skills and Characteristics C++ or relevant Object Oriented software development Familiarity with Electronics and lower-level firmware Using and generating documentation to create interfaces machine to machine Test frameworks and test development Microservices architecture/containerisation Development of new applications to meet user expectations and within formal constraints. … design and coding standards . Good teamwork and communication abilities Useful to have Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read-across to Synergia etc.) Experience with Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level Formal Qualifications What you will ...

pros, cons, and risks of what's in place versus what's proposed. Design end‐to‐end solution architectures spanning application, data, AI/ML, and DevOps concerns, and document them clearly enough for both engineers and executives to act on. Present and defend architecture recommendations to client stakeholders, including … platform trade‐offs. Strong grounding across at least two of the following: application architecture, systems/infrastructure design, data architecture, AI/ML solutioning, and DevOps. Comfort learning a new domain or stack quickly (just‐in‐time), with enough hands‐on ability to validate an approach yourself rather than ...

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 ...

senior leadership. Required Qualifications, Capabilities, and SkillsExperience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with ...

will define the planning cadence, drive cross-functional programmes, and ensure that strategic decisions deliver measurable outcomes. You will provide technical credibility across machine learning, robotics and modern software delivery, challenge assumptions, manage dependencies, and align CTO priorities with business goals. #J-18808-Ljbffr ...

translate complex data into actionable insights that influence fixed income decisions across active funds. You will collaborate with portfolio management and trading teams, exploring machine learning and alternative data to enhance Agency MBS and ACMBS strategies. The role emphasizes rigorous quantitative analysis, communication, and the ability to connect ...

client is a profitable, privately owned organisation based in the East Midlands. The technology function has grown considerably with the business and now includes machine learning specialists, experienced software developers and solution architects. This role exists to keep the business running well day to day so that team ...

generation of subsea vehicles, such as the Liberty E-ROV and Freedom AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance. REQUIRED Minimum of seven (7) years' experience offshore industry performing ROV related scopes. Five ...

environments. You will work across the full RF chain from antenna interfaces to SDR platform bring‐up, coordinating with RF, FPGA, embedded software and ML engineers. Hybrid work with on‐site Bristol HQ at least 3 days/week. #J-18808-Ljbffr ...

high-performance systems in a quant trading context. The role involves co-owning the trading desk infrastructure, collaborating with PMs, Quant Researchers and ML Engineers to push the bleeding edge of quant trading. #J-18808-Ljbffr ...

software applications and systems Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption ...

executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. … benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced ...

aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environments Practical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation or predictive ...

practicesProficient in all aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environmentsPractical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation ...

analytics technology landscapes and big data solutions. A bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform‐specific data certifications (e.g., GCP, Snowflake). Our Commitment to Inclusion ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

related field. Experience in technology delivering software or data solutions, including hands-on work on at least two GenAI or AI/ML projects (with ~1 year of GenAI experience). Hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks … sensitive data. Good communication skills, able to explain technical work clearly. The following will be an advantage; Exposure to GenAI or AI/ML solutions in insurance or financial services. Familiarity with insurance document workflows (ACORD forms, loss runs, policy documents). Experience contributing to solutions moving from proof ...

business outcomes. Key responsibilities: ·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs·Designing and implementing end to end AI and ML architectures across enterprise environments·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments·Supporting AI implementation programmes from proof … scale transformation programmes·Producing solution design documentation, implementation plans and technical proposals·Providing technical leadership and mentoring within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable ...