726 to 750 of 6,442 Machine Learning Jobs in the UK

Services, Business Development, CI/CD, CloudFormation, DAMA, Data Architecture, Decision Intelligence, DevOps, Generative AI, Google Cloud Platform, Hybrid Cloud, Large Language Model Applications, Machine Learning, Microsoft Azure, TOGAF, Terraform, Thought Leadership, Transformation RoadmapsData & AI Strategy Consultant/Architect – AI Transformation (GenAI & Agentic AI)Are you ready … value. Essential experience:10+ years' experience in data, analytics, AI, or enterprise architectureStrong consulting background delivering technology and AI transformation programmesDeep understanding of AI, machine learning, GenAI, and cloud data platformsExperience with AWS, Azure, or GCPStrong knowledge of data architecture, DevOps, and automation toolingExperience engaging with senior stakeholders ...

manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. We're building for scale, and that scale brings ambiguity … record of driving growth within large, complex, regulated organisations. Key Responsibilities Lead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools. Own predictable, high ...

fulfil your potential with meaningful careers. ROLE SUMMARY:We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams … expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value. WHAT YOU'LL BE DOING: AI & Machine Learning SolutionsDesign, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … value. The RoleAs a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … value. The RoleAs a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … value. The RoleAs a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

across scientific and business systems. Establish consistent approaches to identifiers, metadata, data quality, lineage and traceability. Create reusable data foundations that support bioinformatics, analytics, machine learning and AI. Evaluate technical options and help establish data-engineering standards and best practices. Work closely with scientists, Bioinformatics … sciences or other R&D data. Azure and/or Google Cloud Platform. ELN or LIMS platforms such as Benchling. Preparing data for analytics, machine learning or AI applications. Semantic modelling, ontologies or knowledge graphs. CI/CD, infrastructure-as-code or other modern software‐engineering practices About ...

platform. What you'll do You’ll be involved across the full AI lifecycle, including: Exploring and understanding complex datasets Designing and training machine learning models Building AI-powered applications Writing clean, maintainable Python code Working closely with Engineering to deploy production systems Collaborating with Product and Operational … people who enjoy solving difficult technical problems, learn quickly and care about building high-quality software. You’ll bring experience in: Python SQL Machine Learning Cloud platforms such as AWS Working with large datasets Production software development Experience with any of the following is useful, but not essential ...

cost efficiency Establish engineering best practices through hands‐on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof‐of‐concept ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

cost efficiency Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product, driving features from design through … production deployment. Work across backend, frontend, and interacting with LLMs and ML models. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features quickly, maintaining ...

MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision-making. … platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates to arrive ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self‐development. You have experience of working on agile delivery‐lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

datasets to develop, integrate and embed advanced computational methods and predictive in silico models that accelerate the discovery of medicines. With a focus on machine learning, cheminformatics and computational chemistry methodologies, you will help drive the development and delivery of key new capabilities for our internal BRADSHAW automated … design platform. In this role you will have the opportunity to: Build, validate and deploy machine learning models spanning cheminformatics, computational chemistry and quantum mechanics and inform go/no-go decisions across drug discovery programmes. Prototype exploratory, agent-driven workflows that combine LLM-based reasoning with cheminformatics ...

infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ...

technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).The ideal candidate will have a strong understanding of modern AI/ML frameworks, large language models (LLMs), foundation models, and GenAI application architectures. While hands-on experience building and deploying AI/ML solutions is highly preferred … also value candidates who bring strategic expertise in AI/ML solution design, model selection, prompt engineering, and responsible AI practices. You should be comfortable discussing topics ranging from model fine-tuning and RAG (Retrieval-Augmented Generation) architectures to AI governance, cost optimization for AI workloads, and emerging trends ...

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 ...

Engineer to join our client’s data team. This is a hands‐on role where you’ll design and build robust data pipelines, transform ML prototypes into production‐ready systems, and champion MLOps best practices across the business. As a Machine Learning Engineer, you’ll play a crucial … Your day‐to‐day will include: Building and maintaining end‐to‐end data pipelines and feature engineering workflows. Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML. Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance. Supporting ...

challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services, healthcare, life sciences, retail, energy … Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning. Advanced Tech Communities Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks. SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless ...

position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms – and who values clarity, governance and technical rigour. Candidates must be eligible for SC clearance (existing SC clearance desirable). What experience … NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data ManagementExperience ...

reviews, proposal development, and client-facing sales activitiesData governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality managementAI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architecturesAgile delivery & thought leadership - Proven agile/hybrid delivery experience with … achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also ...

oriented, with a bias towards flexibility and impactWillingness to pick up slack, even if it goes outside your job descriptionDesire to learn more about machine learning systems and infrastructureThrive in environments where technical excellence directly drives both business results and research breakthroughsCare about the societal impacts of your … workPreferred qualificationsSignificant experience with high-performance, large-scale distributed systemsExperience implementing and deploying machine learning systems at scaleExperience building load balancing, request routing, or traffic management systemsFamiliarity with LLM inference optimization, batching, and caching strategiesDeep experience operating Kubernetes and cloud infrastructure at scaleExperience with AI accelerator platforms (GPUs ...

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 ...