776 to 800 of 4,083 Machine Learning Jobs in England

handle high-pressure production incidentsDesiredExperience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster ...

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

Building partnerships and working collaboratively with others to meet shared objectives.Collaborates and communicates without boundaries, continuously removes organizational barriers; Focuses on continuous improvement and learning at scale. Excellence in execution Planning and prioritizing work to meet commitments aligned with organizational goals. Consistently achieving results, even under tough circumstances.Approaches priority … productivity and cohesiveness in changing environment is required.Financial acumen is required.Knowledge & Experience (preferred):Experience in Site Management and Monitoring optimal. Experience implementing AI/ML-driven planning or feasibility tools.Background in oncology and/or rare disease clinical development.Experience with CTMS/data platforms and integrated data environments.Education/Certifications ...

platforms (embedded insurance, white-label sales flows, partner-driven experiences). Having shipped something agentic to production, or worked alongside engineers building AI or ML systems. Comfort with cloud-native data warehousing (Snowflake or comparable) and the analytics or AI data layer. Experience working in a distributed team across distant … leave additional paid leave designed to support rest and wellbeing once standard leave has been utilised. Personal development allowance flexible annual benefit to support learning, wellbeing and personal growth. More about us Open is an AI-powered platform transforming insurance globally making it more transparent, cost-effective and customer ...

systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service ...

defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating … impact.Defining and implementing Faculty’s standards for deploying machine learning at scale.Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.Who we're looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

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 … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience 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 ...

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 … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience 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 ...

clients, hands-on with model integration, multi-agent workflows and data engineering from day one. Looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. UK (Brighton, Hybrid), Europe (Remote), United Kingdom Contract Location: UK (Brighton … with hands-on model integration, agentic workflows and data engineering from day one. We're looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. Brighton (Hybrid), Europe (Remote), United Kingdom Full Time Location: Brighton (Hybrid ...

usual analytics and data science across international markets, with responsibility for revenue visibility, regulatory reporting, data quality and maintaining a suite of production ML models. The successful candidate will be comfortable taking ownership of existing processes and systems, working independently and delivering against tight deadlines with minimal hands-on support. … analytics in business reviews and stakeholder meetings, translating technical findings into clear business recommendations. Data Science Maintain and support an existing suite of production ML models, including scheduled refreshes, retraining and redeployment. Monitor model performance and drift, identifying and escalating issues where models require attention. Maintain data quality across model ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework. ...

based systems for text, image, speech, and video applications.Own end-to-end delivery, performance, and continuous improvement of LLM Suite products.Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact.Bridge advanced AI research with robust … Skills:Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline.Demonstrate extensive hands-on experience in ML engineering, with a proven track record of shipping production AI systems.Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong ...

market operates. This is not a research role — we need someone who ships. What You Will Do Lead the design and delivery of complex ML and GenAI systems — robust, scalable, and built for production. Guide the team across the full AI lifecycle, from experimentation and evaluation through deployment and monitoring … cash flow waterfalls, ABS/CLO structures, and priority of payments. Strong software engineering skills (Python preferred) combined with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data infrastructure. Hands‐on experience building and deploying ML/GenAI systems in production within finance, legal, or other high ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating ...

enterprise customers navigating complex analytics modernisation challenges, whether migrating from legacy on‐premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML‐ready data foundations. You’ll translate ambiguous business requirements into scalable, cost‐effective analytics architectures that accelerate time‐to‐insight. You will join a team … provide customer feedback to analytics product teams, participate in private betas, and shape future service capabilities. Collaborate across specialist teams — work with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads. About the team We’re the AWS Analytics Specialist Solutions Architecture ...

self-starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. Using advanced ML techniques to ensure Monzo’s customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you. You have extensive … used in many of our backend microservices. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ...

Production Solution Delivery: Lead impactful customer technical projects by delivering production‐grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment … with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

hand of the CDAO. This is a pure project management role — you will act as the primary facilitator across a Data Engineering, AI/ML, BI, and Investment Pricing teams, translating high-level organisational ambition into structured, deliverable plans. This is not a coordination role. You will own delivery, challenge … business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers and senior commercial stakeholders. Proficient ...

enterprise customers navigating complex analytics modernisation challenges whether migrating from legacy on-premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML-ready data foundations. You'll translate ambiguous business requirements into scalable, cost-effective analytics architectures that accelerate time-to-insight.You will join a team … roadmaps — provide customer feedback to analytics product teams, participate in private betas, and shape future service capabilitiesCollaborate across specialist teams — work with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloadsAbout the teamWe're the AWS Analytics Specialist Solutions Architecture team ...

Document complex technical architectures clearly and articulate system requirements, post‐mortems, and engineering strategies effectively to both technical and non‐technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self‐service infrastructure tools, deployment templates, and continuous … this is the place for you. Qualifications Platform Experience : Demonstrable DevOps experience, with a proven focus on building software engineering platforms or AI/ML infrastructure. IaC Mastery : The successful candidate must demonstrate advanced proficiency in Infrastructure as Code (IaC), with a track record of building and maintaining complex cloud ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...

agentic solutions applied across the insurance and financial services value chain.We organise ourselves around capability groups – covering Solution Architecture; Enterprise Architecture & System Design; ML, AI & GenAI; Data Architecture; Cyber Security; and Cloud & Infrastructure. These groups operate as craft circles: places where members deepen their expertise, share knowledge, develop our collective … leadership gained from your deep technical and industry knowledge.As a Senior Manager in our AI capability, you will:Be a senior contributor to our ML, AI & GenAI capability – working alongside the broader Accenture AI & Data to shape, deliver and assure AI solutions for clients across Insurance and Financial Services.Define ...

features from technical scoping and architecture design through production launch.Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency.Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration … proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms).Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes ...

Kotlin, and Typescript.3 years of experience with front-end frameworks, full-stack development, or API development.1 year of experience with software design, architecture, and machine learning.1 year of experience with agentic coding.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.Experience programming … Kotlin, and Typescript.3 years of experience with front-end frameworks, full-stack development, or API development.1 year of experience with software design, architecture, and machine learning.1 year of experience with agentic coding. ...

with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferredStrong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling.Strong hands-on experience with AI Development tools like Claude CLI, WindsurfSolid understanding of the ML lifecycle; exposure to model ...