701 to 725 of 785 Machine Learning Jobs in the UK excluding London

solutions involve custom engineering of unique solutions and experiences created from modern web-scale technologies, including SPAs, JavaScript, Microservices, Cloud Computing and Machine Learning. As a technologist in Digital Engineering, 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 ...

Skills and Experience 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. … DevOps/Git) Familiarity with development to design and coding standards. Nice 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 Disclaimer: This vacancy ...

Skills and Experience 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. … DevOps/Git) Familiarity with development to design and coding standards. Nice 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 Disclaimer: This vacancy ...

commercial industry. Requirements: 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. … Familiarity with development to design and coding standards. Good teamwork and communication abilities Desirable: Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read-across to Synergia etc.) Knowledge of Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level Formal Qualifications Additional information ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes ...

with commercial objectives, and transition PoCs towards production readiness. Key Requirements: Proven experience as an AI Solutions Architect or Enterprise Architect delivering AI/ML solutions at enterprise scale. Strong expertise in enterprise integration patterns, including APIs, microservices, event-driven architectures and cloud-native services. Experience with MLOps, model deployment … operationalising AI/ML models in production environments. Deep understanding of LLMs, generative AI, agentic AI and their application to real-world business use cases. Practical experience designing and implementing vector-based search and retrieval systems within AI solutions. Strong knowledge of security, compliance and governance in AI systems, including ...

with commercial objectives, and transition PoCs towards production readiness. Key Requirements: Proven experience as an AI Solutions Architect or Enterprise Architect delivering AI/ML solutions at enterprise scale. Strong expertise in enterprise integration patterns, including APIs, microservices, event-driven architectures and cloud-native services. Experience with MLOps, model deployment … operationalising AI/ML models in production environments. Deep understanding of LLMs, generative AI, agentic AI and their application to real-world business use cases. Practical experience designing and implementing vector-based search and retrieval systems within AI solutions. Strong knowledge of security, compliance and governance in AI systems, including ...

Offer Sponsorship The Opportunity Looking for a Data Engineer to build and maintain the data pipelines and platforms that power analytics, reporting and machine learning. You'll work with modern cloud tooling and join a collaborative team where your work has real business impact. What You'll Be Doing … data modelling and CI/CD Desirable Spark, Databricks or Kafka Orchestration tools such as Airflow or dbt Infrastructure as Code (Terraform) Experience supporting ML workloads What's On Offer Competitive salary and bonus Hybrid working Pension, private healthcare, holiday, training budget Clear progression and exposure to modern tech ...

with large-scale analysis pipelines, data processing, or workflow orchestration. Familiarity with observability tooling, operational metrics, and service health dashboards. Experience integrating AI/ML capabilities, including large language models, into production software or developer tooling. Familiarity with evaluating, monitoring, and improving AI-assisted workflows, particularly for security analysis, code … bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide Debug and fix defects in production systems, learning how large-scale applications behave under real conditions Write and maintain automated tests as part of the team's standard delivery workflow Participate in code … data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates from ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

data architecture, engineering strategy and data platform, ensuring it provides a trusted, scalable foundation for customer-facing products, analytics, forecasting and emerging AI/ML capabilities. Key responsibilities Define and own the enterprise data architecture and technical roadmap Lead the development of a scalable modern cloud data platform Own data … modelling, architecture, governance, quality and operational resilience Build data foundations capable of supporting AI, ML, vector search and advanced analytics Establish strong DataOps, CI/CD, observability and data quality practices Lead and develop a high-performing data engineering function Partner with Product, Engineering, Data Science and senior leadership ...

Control Tower. Design, implement, and manage AWS compute infrastructure, including Amazon EC2, Auto Scaling groups, Elastic Load Balancing, Amazon EBS, and standardized machine images (AMIs) built with EC2 Image Builder. Partner with network and security teams on foundational services such as Amazon VPC, AWS Transit Gateway, security groups … through Azure Arc and OSConfig. Experience with vulnerability management programs and tooling. Experience administering Linux servers in AWS. Basic understanding of AI/ML operational concepts, model lifecycle management, and supporting cloud infrastructure (e.g., Amazon SageMaker, Amazon Bedrock). Experience working within DevOps and Agile delivery models. AWS certifications such ...

governance forums Review and assure solutions for quality, consistency, and fitness for purpose Identify and manage risks, issues, and dependencies Awareness of AI/ML integration and governance considerations Qualifications and Skills Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline, or equivalent practical experience Certification … technology landscape, including modern engineering practices, cloud platforms, and legacy environments Practical experience or strong awareness of AI-enabled architectures, including embedding GenAI/ML capabilities into enterprise solutions with appropriate governance and controls Experience in aligning AI-enabled solutions with compliance, audit, and data protection requirements Guidant, Carbon60, Lorien ...

/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure to AI/ML data foundations, including feature stores, MLflow, model serving, or retrieval pipelines (RAG). Regulated Sectors: Experience working within regulated … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Lets Build the Future Together ...

/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure to AI/ML data foundations, including feature stores, MLflow, model serving, or retrieval pipelines (RAG). Regulated Sectors: Experience working within regulated … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Lets Build the Future Together ...

Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity ...

cloud infrastructure. Proficiency in Python and/or another general-purpose language, with strong testing discipline Hands-on experience building with LLMs or other ML systems (prompt engineering, fine-tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts - various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

LangGraph, LangChain, Haystack or similar, and equally comfortable dropping below the framework when that's the right call Real-world experience deploying AI/ML systems into production, beyond notebooks and proof-of-concepts Confidence across inference performance, data pipeline design, state/memory handling, and tool or function calling … agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape the architecture, not just work through a backlog Work at the leading edge of agentic and generative ...

LangGraph, LangChain, Haystack or similar, and equally comfortable dropping below the framework when that's the right call Real-world experience deploying AI/ML systems into production, beyond notebooks and proof-of-concepts Confidence across inference performance, data pipeline design, state/memory handling, and tool or function calling … agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape the architecture, not just work through a backlog Work at the leading edge of agentic and generative ...

Job ID: 2624Req ID: 214Location: Roke, 5th Floor, Space, Woking, Surrey, United KingdomPosted: 2026-02-27Pay Type: Salary Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and ...

join our team. Role Summary By providing outstanding technical training and subject expertise, you will inspire our apprentices to succeed and achieve excellent learning and assessment outcomes. You will focus on delivering foundational data and AI knowledge, particularly for Level 3 standards, while helping us grow our AI-focused … Tutor, you will: Deliver Live Online and in-person training for apprentices and commercial Gen AI workshops. Guide and inspire learners to achieve excellent learning and assessment outcomes. Maintain subject matter expertise in foundational data analysis techniques and emerging AI tools. Support the development of courseware content and practical ...

introduce transformative new automation technologies and workflows that expand the autonomy and generality of automation at UCB.Partner with therapeutic project teams to reduce learning cycle timelines and accelerate the delivery of novel therapeutics. Work with Data scientists to integrate automated workflows within the digital architecture at UCB.Provide scientific leadership … early development process, together with awareness of relevant external scientific trends. Experience of scientific team leadership is desirable. Experience working with AI/ML-driven orchestration software within lab-in-the-loop platforms would be beneficial. Are you ready to 'go beyond' to create value and make your mark ...

doingBuild scalable UI features optimized for millions of usersLead technical investigations and architect solutions across middleware, UI frameworks, and rendering pipelinesIntegrate AI/ML capabilities and leverage generative AI tools to accelerate development and improve developer productivityCollaborate with cross‐functional teams to deliver global platform features with measurable performance … clear, effective technical communicationKnowledge of AI applications and hands‐on experience with generative AI tools and workflowsA proactive mindset with passion for continuous learning, fast iteration, and data‐driven optimization#LI-NM1What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work ...