401 to 425 of 993 Machine Learning Jobs in the UK excluding London

timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 5+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting, prototyping, or research. ...

monitoring, logging and observability for data pipelines and dashboards (for example Application Insights, logging frameworks and pipeline metrics) and act on alerts. Work with ML/agentic automation teams to integrate or evaluate agent-based workflows where applicable (e.g. controlled LLM agents, orchestration of multi-step automated tasks). Apply ...

Description: Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML … ingestion, low-level hardware programming, efficient memory allocation and performance optimisation. Responsibilities: You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire ...

that create tangible value for end-usersPreferred Qualifications (Optional)Familiarity with or interest in utilizing AI-assisted tools within a modern development workflowExposure to Machine Learning, Computer Vision, or AI conceptsUnderstanding of service-oriented architecture (SOA) and building cloud-native productsBroad architectural curiosity and a desire to develop … well-rounded technical skill setEnthusiasm for learning new programming languages (such as Go) on the jobWhat We OfferHybrid Work Culture: 2 days a week in our accessible, city centre office in Edinburgh, with flexible remote options for the remaining days. Autonomy & Support: A respectful, team-oriented culture that values ...

training, and experimentation Building reporting, visibility, and decision-support solutions Collaborating with stakeholders to understand business challenges and translate them into data-driven outcomes Learning how AI can be applied across operational, compliance, and sustainability-focused use cases Your Skills & Experience Strong academic background in a STEM subject such … Science, Mathematics, Physics, Engineering, or a related discipline Commercial experience working with data in a professional environment Strong Python and SQL skills Experience using machine learning libraries through professional work, research, or personal projects Exposure to Generative AI technologies and Large Language Models Understanding of software engineering fundamentals ...

experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction or classification. Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis. Experience developing scalable, user … 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 ...

within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect ðWork to agile … solutions, model risk management platforms, or GRC technologies. Experience with data governance, privacy, cyber security, model risk management, or technology risk disciplines. Knowledge of machine learning and Generative AI technologies, including Large Language Models (LLMs).Possession of relevant certifications such as ISO 42001 Lead Implementer/Auditor, IAPP ...

clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams. Take ownership of data governance, security, monitoring and platform costs. Line-manage, develop and help grow the Data ...

clear data definitions. Enable secure, self-service data analysis through modern AI tools. Automate manual, repetitive and fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams through a unified platform. Own data governance, platform security, monitoring and operating costs. Manage, develop and help grow ...

workflows. Strong programming and scripting skills in Python, plus shell scripting (PowerShell or Bash); C# or Go a plus. Experience deploying and supporting AI, machine learning, API, and cloud application workloads in production environments. Experience operating LLM-based workloads in production, including multi-provider routing, capacity and quota ...

encryption, logging, auditability, secure configuration, and operational ownership. AI Security, Automation & Engineering Define and apply security requirements for enterprise AI, generative AI, copilots, agents, machine-learning services, and AI-enabled SaaS solutions, including data access, prompt and response handling, model or service permissions, identity, logging, retention, and human ...

their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. Joining our advanced data science team, youll be responsible for the ongoing ...

days per week. Bonus Points (Nice to Have, Not Required)Understanding of service-oriented architecture (SOA) and building cloud-native products. Exposure to Machine Learning, Computer Vision, or AI concepts. A desire to develop a well-rounded technical skill set combining backend depth with broader architectural curiosity. Language ...

opinion may conflict. Track record of effective engagement, negotiating and partnership working with senior internal and external stakeholders Ability to lead innovation in AI, machine learning, and predictive analytics in a healthcare context. Desirable Track record of communicating externally (blogging, Twitter, conference speaking) about your professional role ...

over WebSockets Implement SSO, OTP and session/JWT auth, and integrate with Microsoft 365, CRMs and document stores Work with the AI/ML team to ship LLM-powered features, including UX that investment professionals can trust and audit (citations, provenance, approve flows) Ship and operate on AWS with ...

multi-person team delivering production services Experience with large-scale biological datasets Experience working with the Apache Parquet file format Experience implementing AI/ML approaches for quality control and/or genome annotation Behaviours we value in our team: You bring curiosity, enthusiasm, and a focus on impact ...

layout optimizations tailored to spatial processors. Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues. What we need to see: MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent … from the crowd: Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale. Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability. Demonstrated research impact, such as publications or presentations at conferences like PLDI ...

. What Youll Do Design and build GenAI solutions (LLMs, RAG, prompt engineering) Develop Agentic AI systems for automation and orchestration Build and deploy ML models for real-world business use cases Work with AWS (Bedrock, SageMaker, Lambda, ECS/EKS, etc.) Drive AI innovation , POCs, and enterprise transformation initiatives … Collaborate with cross-functional teams and mentor others What Were Looking For 7+ years software engineering experience 2+ years hands-on in AI/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock ...

organisation is growing its technical team and offers structured mentorship from senior scientists and engineers. What the job involves The role centres on applying machine learning to unusual, real-world problems, often without an existing playbook to follow. You'll combine off-the-shelf tools with custom-built … similar) Some evidence of research capability, from postgraduate study, personal projects, or applied experience Confident Python developer, comfortable with at least one common ML framework Broad exposure to different ML approaches, or a track record of picking up new areas quickly A rigorous, analytical mindset with genuine curiosity about ...

clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi … time to support the charities and causes that matter to you. 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 At LexisNexis Intellectual Property (LNIP), we believe that whenever ...

qualification (or near-completion) in Computer Science, Computing, Software Engineering, Data Science, or a closely related discipline A genuine interest in artificial intelligence, machine learning, and how these technologies are transforming industries Familiarity with at least one programming language (Python preferred) and a willingness to learn quickly Strong … senior leadership team - you will have visibility and influence that is impossible at larger organisations A funded apprenticeship with structured learning and professional development The chance to work across multiple brands and markets, gaining breadth of experience A genuine say in how AI is adopted and implemented across ...

role you will loveThis role provides strategic direction and technical leadership across the Document Intelligence landscape, including intelligent document processing, workflow orchestration, AI/ML classification, OCR, API-led integration, event-driven architectures, automation platforms, data architecture, monitoring and observability, and operational governance. Working closely with the Issuer Services … Other key responsibilities: Define and govern the global target-state architecture, roadmaps, standards, and reusable patterns for Document Intelligence across IDP, OCR, AI/ML, workflow orchestration, integrations, data, and observability. Design scalable solutions leveraging OCR, computer vision, machine learning, LLMs, and generative AI, incorporating robust governance, explainability ...

computing (or a closely related field). S&I • Experience of working with quantum algorithms in the areas of simulation, optimisation and/or machine learning, with knowledge in emulation, implementation of algorithms and execution of quantum circuits, as well as the challenges facing the above within … bank holidays and privilege days). • Flexible working hours. • An excellent defined salary pension scheme. • Easily accessible public transport links/free parking. • Excellent learning and development opportunities. • Cycle to work scheme. Link to more benefits: How to Apply: Online applications only for this role. Please submit your ...

analytical solutions. It would be great if you had: • Experience with Microsoft Fabric, Lakehouse architectures or other modern cloud-based analytics platforms. • Knowledge of machine learning, artificial intelligence and forecasting techniques and their practical business application. If you're interested in this role but not sure if your … unique and privileged environment. We are given time for professional development activities, and we coach and mentor our colleagues, sharing knowledge and learning from each other. We foster a culture in which employees feel valued and supported and have pride in their work for the customer, delivering outstanding rates ...

Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job DescriptionThis … InformationBenefits include: Hybrid working model with some flexible working25 days' holidayPrivate Medical Health care via VitalityPension contribution, Life AssuranceProfessional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access ...