1,176 to 1,200 of 1,334 Machine Learning Jobs in England

engineering workflow. Rapid Iteration: Comfort operating at extreme velocity in ambiguous environments. You know intuitively when to hack together a messy prototype for learning versus when to build robustly for production scale. Collaborative Mindset: Strong stakeholder communication skills. You can naturally gather requirements from non-technical users and explain … intensive domains, or high-volume publishing. Infrastructure Expertise: Deep understanding of modern cloud infrastructure, including containerisation, serverless architectures, and Infrastructure as Code (IaC). ML Intuition: A background in data science or ML engineering that provides intuition for embedding spaces, attention mechanisms, and evaluation methodologies. Production Observability: Experience with monitoring ...

fast-paced, evolving environments. Desirable Proficiency in SQL for data extraction and transformation. Knowledge of supply chain/logistics KPIs. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries ...

time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers … What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat ...

across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience as an AI Architect/ML Architect/GenAI Architect Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral … Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles Exposure to bids, RFPs, or pre-sales Knowledge ...

quality and collaborative solutions. Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning. We are seeking a strategic and analytically minded Head of Business Insights to lead our data-driven decision-making capabilities across the business. … quantitative field (e.g., Data Science, Economics, Engineering, Business Analytics) Deep understanding of data platforms (e.g., Databricks, Tableau Cloud), data governance, and AI/ML applications in business contexts Strategic thinker with a bias for action and a passion for unlocking business value through data Excellent communication skills, with the ability ...

possible without ensuring we deliver an exceptional employee experience. Your life at PEXA Your growth We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness We care about your holistic wellbeing. Your work/life blend We know … Have Experience in financial services, property technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … apps, preferably Local AI. Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability. Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding. Expertise in feature design, prioritization ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … apps, preferably Local AI. Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability. Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding. Expertise in feature design, prioritization ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … apps, preferably Local AI. Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability. Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding. Expertise in feature design, prioritization ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … apps, preferably Local AI. Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability. Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding. Expertise in feature design, prioritization ...

lead enterprise-scale cloud and data transformation initiatives across Azure, Databricks, Synapse, and Microsoft Fabric. This role focuses on real-time analytics, AI/ML integration, IoT/SCADA telemetry systems, and secure large-scale data platforms within complex environments. What You’ll Be Doing Architect scalable cloud-native data …/CD, Terraform, Bicep, Azure DevOps, GitHub Data Governance, MDM, Purview, Unity Catalog Security, IAM/RBAC, Zero Trust, GDPR compliance AI/ML integrations, Power BI, monitoring & observability Experience with large-scale data estates (1000TB+) Utilities, telemetry, SCADA, SAP or GIS experience desirable Hybrid working – 3 days onsite ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment … cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design ...

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

quality training programs focused on Starburst, Dell Data Lakes, and Data Warehousing architectures. · Create engaging, hands-on materials such as labs, case studies, presentations, learning content that support enterprise data analytics adoption. Inline with directives given by line manager · Ensure training material is tailored to a wide range … both technical and nontechnical users ideally within a software vendor, data platform provider, or cloud services organization. · Strong knowledge of data engineering, AI/ML fundamentals, and data platform architecture. · Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). · Excellent communication ...

focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact. What You’ll Do Integrate AI/ML components into applications and operational workflows Design and implement Retrieval-Augmented Generation (RAG) solutions Evaluate LLM performance, identify failure modes, and implement mitigation strategies Test … appropriate Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions What You’ll Need Experience building or integrating AI/ML systems into real-world applications Strong understanding of LLMs, ML models, and core statistical concepts Experience evaluating AI systems and improving reliability and performance Ability ...

teams, and delivering enterprise-grade AI systems across a range of industries. What you’ll be working on: Designing and scaling enterprise AI/ML systems Building AI applications using LLMs, agents, and orchestration frameworks Leading technical direction across the full AI solution lifecycle Developing internal AI platforms and reusable … Driving best practices across governance, observability, and AI lifecycle management Tech/experience: Strong Python and software engineering background Deep experience with AI/ML systems in production Experience with AWS Bedrock, SageMaker, Azure OpenAI, or Azure ML Knowledge of agent frameworks such as LangGraph/Autogen Ideal profile: Strategic ...

teams, and delivering enterprise-grade AI systems across a range of industries. What you’ll be working on: Designing and scaling enterprise AI/ML systems Building AI applications using LLMs, agents, and orchestration frameworks Leading technical direction across the full AI solution lifecycle Developing internal AI platforms and reusable … Driving best practices across governance, observability, and AI lifecycle management Tech/experience: Strong Python and software engineering background Deep experience with AI/ML systems in production Experience with AWS Bedrock, SageMaker, Azure OpenAI, or Azure ML Knowledge of agent frameworks such as LangGraph/Autogen Experience with vector ...

evolve infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management Architect and improve CI/CD systems for both infrastructure and ML training workflows Optimize distributed training workloads (scheduling, resource utilization, observability) Partner with ML engineers and researchers to enable efficient experimentation and productionization Lead troubleshooting and resolution … tooling Strong understanding of distributed systems, networking, and system reliability Demonstrated ability to lead large technical initiatives and influence system design Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Nice to have: Experience with multi-cloud or hybrid cloud environments Background in performance optimization for large-scale training ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

with auth data, payment flows, chargebacks, behavioural signals Transaction Monitoring (AML) Owning system performance. Rule effectiveness, typology coverage, backlog, false positives Working closely with ML models and monitoring frameworks Screening (Sanctions/PEP) Match quality, list coverage, tuning logic, global screening performance Detection Engineering/ML Systems Building monitoring frameworks … typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. Not just models ...

About BrainLake BrainLake transforms private alternative asset managers into AI native funds. We succeed by providing funds with tailored AI training programmes, a continuous learning platform and building custom workflows and agents for alternative asset professionals in private equity, credit, real estate, secondaries, fund of funds, and family offices. … layer build using the latest models, tools and workflows. Our engineering team handles the BrainLake platform, infrastructure and software engineering needs. Data science or ML research. We use frontier models via API. you will not need to train models. Working Arrangement London-based. In-office is ideal ...

maintain infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management Build and evolve CI/CD pipelines for both infrastructure and ML training workflows Optimize distributed training workloads (scheduling, resource utilization, observability) Ensure high standards of reliability, scalability, security, and monitoring across systems Collaborate with ML engineers … experience with multi-GPU and/or distributed compute environments Experience with GPU scheduling/orchestration (e.g., Kubernetes schedulers - Volcano, Ray, etc.) Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Experience with multi-cloud or hybrid cloud environments Background in performance optimization for training workloads Experience in robotics ...

best practices Implementing robust cloud security controls and ensuring compliance with industry standards Collaborating with engineering, DevOps, and data teams to deploy applications and ML pipelines Providing technical leadership and guidance across cloud-related initiatives Evaluating and recommending new cloud services and capabilities What They're Looking For Essential: 5+ … fast-paced, client-facing environments Desirable: Multi-cloud experience (AWS, Azure, GCP) Experience with hybrid cloud/on-prem integration Exposure to AI/ML workloads and data-driven platforms Background in large-scale consulting or transformation programmes What's on Offer Competitive salary and performance-based bonus Private medical ...

sales, consulting, AI product roles, or AI-focused innovation. Knowledge within the Finance Services or Areospace and Defence sector. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement skills … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...