1,176 to 1,200 of 6,479 Machine Learning Jobs in the UK

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 Description As a Data Architect you will … secure data solutions. Our tech stack 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 ...

Have: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? At Zego, we operate like a high-performing sports team. We come together … Private medical insurance, for you and your family Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new Cutting-edge systems and tools, so you always have what you need to drive your impact Zego, leading the AI evolution ...

simulation software (e.g. Aspen Plus, HYSYS). Experience building marginal abatement cost curves or decarbonisation roadmaps for large industrial clients. Knowledge of optimisation or machine learning applied to process optimisation and emissions reduction. WHAT NEUTREENO CAN OFFER YOU Compensation & Benefits: Competitive salary dependent on your skills, qualifications ...

dataset registries, versioning, training and validation split management, model lineage and reproducibility. You will design those concepts and then apply them, reviewing AI and ML architectures, data processing workflows and proposed implementation approaches, including work produced by external vendors and project partners. You will also advise programme stakeholders … computer science, statistics, computational biology or a comparable discipline. PhD welcomed. Minimum five years in data science, statistics or business intelligence supporting AI and ML work within clinical research, pharma, CRO or medical device environments. Deep Python capability across pandas, numpy, scikit learn, scikit survival, matplotlib, seaborn and shap, with ...

Nice to Have: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? At Zego, we operate like a high-performing sports team. We come … buildPrivate medical insurance, for you and your familyPension, generous holiday, and 1,000 a year to spend on getting to the office or learning something newCutting-edge systems and tools, so you always have what you need to drive your impactIf you're ready to help build the real ...

model governance. Strong communication skills, able to explain complex concepts clearly. The following will be an advantage; Experience delivering GenAI or AI/ML solutions in insurance or financial services. Familiarity with insurance core platforms (Guidewire, Duck Creek, Sapiens) and document‐heavy workflows (ACORD forms, loss runs, policy documents). … team members to drive delivery of client engagements and to develop new solutions and market insights to drive revenue growth. What we offer Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility ...

calibrate assessments, and help onboard new team members effectively. Partner with the Data Engineering Manager on team development planning, identifying skill gaps and proposing learning opportunities. Ensure team members feel supported, challenged, and set up to do their best work. Governance & Collaboration: Partner with Data Governance to embed data … platform architecture patterns and their practical application in a scaled organisation. Experience with GCP cost management and BigQuery cost optimisation strategies. Broader exposure to ML infrastructure, feature engineering pipelines, or data science platform enablement. CLOSING DATE: 21st August LOCATION: Please note this is a hybrid role and requires the successful ...

optimization Experience using data and analytics to drive product decisions; familiarity with SQL, BI tools, or product analytics platforms preferred. Familiarity with AI and machine learning applications in AML, screening optimization, or investigation workflows. Hands‐on experience using FinScan or similar AML/sanctions screening tools. Prior work ...

high-pressure production incidentsDesired* 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 ...

frameworks (e.g., EU AI Act). Global Leadership & Stakeholder Management Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Software Engineers, AI/ML Engineers, Prompt Engineers, DevOps/LLMOps Specialists, QA Engineers) of 100+ people across global delivery centres. CTO & Engineering Leadership Advisory: Serve as the primary delivery … executives. Translate complex AI capabilities and metrics (cycle time, lead time, deployment frequency, model accuracy) into clear business outcomes. Engineering Culture & Upskilling: Drive continuous learning across delivery teams, championing modern software engineering standards, AI-driven development patterns, and prompt engineering best practices. What we offer Our goal ...

analytical datasets- Collaborative analytical workflowsPreferred QualificationsExperience with one or more of:- Posit Connect- R package development- SQL- Arrow or DuckDB- AI-assisted analytical workflows- Machine learning methods for exploratory analyses- Clinical dashboards and interactive reporting- User training and scientific presentations- Familiarity with software development workflows and contributing feature ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

frameworks (e.g., EU AI Act). Global Leadership & Stakeholder Management Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Software Engineers, AI/ML Engineers, Prompt Engineers, DevOps/LLMOps Specialists, QA Engineers) of 100+ people across global delivery centres. CTO & Engineering Leadership Advisory: Serve as the primary delivery … executives. Translate complex AI capabilities and metrics (cycle time, lead time, deployment frequency, model accuracy) into clear business outcomes. Engineering Culture & Upskilling: Drive continuous learning across delivery teams, championing modern software engineering standards, AI-driven development patterns, and prompt engineering best practices. #LI-CM1 What we offer Our goal ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

commuting distance of London, able to work 1–2 days a week from our central office. Nice to have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph ...

valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen … regulatory controls, and with vulnerability patching across base OS images, networking and IAM Experience with Bazel, Nix and other similar technologies Experience serving ML models in production, or building data and real-time analysis pipelines Experience working on projects related to national security for one or more government agencies Prior ...

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 Description As a Data Architect you will … secure data solutions. Our tech stack 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 ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

patterns across real-time market data platforms. Support high-performance platforms for tick data storage, market replay, order book reconstruction, quantitative analytics, and future machine learning use cases. 5. Governance, Controls, Vendor & Stakeholder Engagement Champion data quality, lineage, monitoring, entitlement management, ownership, governance, and operational controls across real ...