501 to 525 of 1,146 Machine Learning Jobs in the UK

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

agents and agentic workflows. Experience building knowledge management or search platforms. Experience with vector databases and semantic search technologies. Exposure to data engineering and machine learning workflows. Experience taking AI solutions from proof-of-concept through to production adoption. We believe in equal opportunity for all and actively ...

Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking for: Experience in general insurance pricing with ...

building complex indices that drive positive change in the world.* We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools.* We are backed by some of the world’s leading tech investors ...

organizations while delivering value at scale Demonstrated knowledge of both public and private cloud offerings as well as technical proficiency across compute, databases, networking, machine learning, and data analytics domains. Exhibit strong writing and communication skills with experience constructing technical business cases, calculating ROIs, and developing strategic plans. ...

looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and IAC using Terraform would be standout.We are looking for a connection with the Scientific/Applied/Mechanical ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

understanding how to sequence roadmaps across upstream and downstream dependencies while maintaining a coherent platform architecture for distinct buyer personas. Deep technical fluency in machine learning lifecycles, computer vision, data labeling pipelines, and edge‐AI computing. You will be expected to work within technical constraints, grounding product decisions ...

agile product delivery and product management frameworks. Understanding of UK regulatory requirements (GDPR, FCA, PRA). Experience in agile methodology (Scrum). Experience with machine learning, AI or advanced analytics products. Background in data governance, metadata management or data quality frameworks. Prior experience in digital transformation or modernisation ...

Practice Technology Offering is broad, covering a wide array of Advisory and Data Services: Comprehensive eDiscovery services, including data processing, AI/GenAI/machine learning, managed review, productions, and support through arbitration and trial. Full-spectrum eDiscovery advisory, covering budgeting, vendor management, data transfer protocols, project oversight ...

production solutions) Experience building on Azure data/AI stack Hands‐on experience with Azure AI Foundry (must have) Proven delivery of AI/ML/GenAI solutions (not just POCs) Good grounding in data architecture Experience with: Microsoft stack (Fabric, SQL, low‐code environments) Data governance (e.g. Purview) Microsoft ...

Factory. Snowflake Toolkit: Hands-on with Snowpipe, Streams, Tasks, Dynamic Tables, and Stored Procedures. Nice to Have: Exposure to DBT, Snowpark, Snowflake AI/ML, Airflow, and Snowflake administration (RBAC, warehouse sizing). Mindset: Strong problem-solving abilities with an ownership mindset for end-to-end delivery. This ...

27001. Understanding of healthcare data protection, ideally NHS/UK standards. Strong incident response, analytical, and problem-solving skills. Knowledge of AI/ML risks and AI governance. Experience with phishing campaigns, penetration testing, and remediation. Excellent communication skills across technical and senior stakeholder groups. Organised, proactive, and committed ...

expertise in global pharma, biopharma, or large-scale manufacturing/supply chain. Strong technical fluency: data engineering & pipelines, cloud platforms, data science & AI/ML product delivery, MLOps/DataOps principles. Skilled at influencing product direction across cross‐functional, multi-region teams. A strategic thinker capable of shaping long-term ...

databases and caching technologies such as PostgreSQL and Redis Nice to Have Experience building cybersecurity or threat detection platforms Exposure to AI/ML security challenges and AI-driven security tooling Experience with Kafka, Pulsar, Splunk, or real-time streaming systems Golang expertise Experience contributing to open-source projects ...

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

empower you to push the boundaries of what’s possible. Job Summary As an AI Engineering Director within LLM Suite engineering, AI/ML & Data Platforms team at JPMorganChase, you will lead a group of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

accelerators, and reusable frameworks as the CoE scales What We’re Looking For Minimum 3 years’ experience building and deploying Generative AI or applied ML systems Strong hands-on engineering background – you actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines ...

cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. Solid understanding of security, governance, and cost management within cloud-based platforms. Experience working in financial services or a regulated environment ...

auditability, or regulated environments. Experience integrating LLMs with external tools, APIs, databases, code execution environments, or analytical engines. Desirable: publications (at main NLP/ML/AI conferences ...

expansion, and revenue outcomes, and monetizing new capabilities Solid understanding of AI technologies and experience working with or leading products that incorporate AI/ML, GenAI, automation, and data/insights Commercial go-to-market experience translating product strategy into revenue growth, retention improvement, and expansion Ability to engage credibly ...

design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that support product management, workflow efficiency, insight generation, or decision support. Knowledge of governance considerations related to AI, model risk ...