626 to 650 of 1,358 Machine Learning Jobs in the UK

Role summary You will work as a generalist Data Scientist, combining strong classical data science foundations with solid Python engineering and familiarity with modern ML/LLM tooling. The role is hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities Build ...

Tableau or similar) Ability to deliver technical solutions that generate measurable results Strong communication skills with non-technical audiences Desirable: Experience with AI/ML tools or cloud platforms Team leadership, coaching or mentoring experience Why this role? If you're looking to move from purely technical work into ...

military, or highly regulated secure environments Knowledge of air-gapped or restricted network architectures Exposure to big data platforms, analytics tooling, or AI/ML pipelines Background in site reliability engineering (SRE) or reliability-focused platform design Why This Role? Work on cutting-edge secure military systems High-impact engineering ...

testing across AI services. * Contribute to engineering design patterns, security practices, and technical documentation. Your Skills and Experience * Strong commercial experience in Data Engineering, ML Engineering, or Software Engineering with a focus on AI systems. * Deep hands-on expertise with GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud ...

data modelling, cleansing and dataset preparation. Experience supporting or developing Power BI dashboards and data visualisations. Familiarity with APIs, automation tools and AI/ML-driven platforms. Strong JavaScript and jQuery skills, including asynchronous handling and AJAX. Knowledge of version control tools such as Azure DevOps. Understanding of UX principles ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

AI. Support the development of agentic automation across core claims workflows and internal tools. Your Skills and Experience Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems. Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model ...

AI. Support the development of agentic automation across core claims workflows and internal tools. Your Skills and Experience Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems. Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model ...

gets built, not just how What We're Looking For 6+ years of production software engineering experience, with a growing focus on AI and ML applications Strong command of TypeScript and Python; experience with microservices, async architecture, and AWS infrastructure Hands-on experience with LLMs, RAG workflows, or agentic systems ...

/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 ...

with modern automation tooling. Exposure to testing data-driven applications and distributed systems. Desirable: Experience testing GenAI or LLM-based services. Background in supporting ML, NLP, or data-heavy engineering environments. Familiarity with validating prompt flows, LLM responses, or AI pipelines. Tech Environment: Python, JavaScript, Node.js Performance automation tools ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

experience, with a strong track record building and scaling B2B data-heavy or analytics platforms in complex enterprise environments. Demonstrated experience shipping AI/ML-enabled products , ideally within forecasting, simulation, or decision-support systems. Background in pharma, biotech, or other highly regulated, science-driven sectors advantageous, with appreciation ...

Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, Cosmos Deep expertise in deploying and scaling generative AI solutions within Azure, including proficiency with databases, Prompt Flow, virtual machines, and Azure Foundry. ...

cost, and quality of data outcomes. • Delivers a scalable data vision with hands-on engineering capability. • Deep experience in advanced analytics, predictive modelling, and machine learning. • Skilled at integrating emerging AI tech to drive automation and innovation. • Builds automated pipelines and leverages cloud platforms (Azure, AWS, GCP) with strong ...

cost, and quality of data outcomes. • Delivers a scalable data vision with hands-on engineering capability. • Deep experience in advanced analytics, predictive modelling, and machine learning. • Skilled at integrating emerging AI tech to drive automation and innovation. • Builds automated pipelines and leverages cloud platforms (Azure, AWS, GCP) with strong ...

stakeholders Bonus Points For... ⭐ Experience with HIPAA or regulated healthcare software ⭐ Background in digital health or mission-driven consumer products ⭐ Familiarity with AI/ML integration in production systems ⭐ Knowledge of ISO 27001, ISO 9001, or SOC2 frameworks Why Join Us? We're not building another app. We're reshaping ...

evolve, and making sure we're building towards what matters next. What we're looking for Extensive experience in software or AI/ML engineering, with a substantial portion spent in architecture roles, ideally spanning both platform and solution architecture. Deep, hands-on knowledge of LLM and agentic system design. ...

design). Design scalable, secure data solutions leveraging cloud platforms (Azure, AWS, or Oracle). Ensure data architecture supports advanced analytics, BI, AI/ML, and operational reporting. Oversee data architecture aspects of major change initiatives and programmes. Produce high-quality architecture deliverables and ensure they are integrated into delivery ...

similar Stakeholder managemenT Useful but not essential: Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking and access control GDPR and data governance awareness DAY TO DAY No two days will look the same ...

tasks? Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead the design and deployment of conditional access, Defender for Cloud, Purview DLP, Azure Firewall, and related services. Integrate security into DevOps pipelines, CI/CD, infrastructure ...

with legal workflows A product focused and problem-solving mindset with the ability to work independently Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. Strong analytical capabilities with proficiency in UML, process mapping, and modelling techniques. Skilled in tools such as Jira, Lucidchart ...

with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business rules, semantic layers and AI agents, all embedded in real workflows and operational systems. Grow the business - Drive new client relationships and expand … decision science, data science, quantitative modelling, or operations research. Proven track record applying models in live business decision environments. Strong fluency in Python, modern ML tools, and decision optimisation frameworks. Deep understanding of statistical modelling and machine learning with experience deploying models into production-scale systems. Beneficial: pricing ...

around experimentation, high standards and rapid feedback loops You'll work closely with senior engineering leadership who have previously scaled large distributed systems and ML-driven platforms at global technology companies. Tech Environment Backend systems currently built in Python, looking to move to Golang or Rust Typescript Cloud-native architecture … BigQuery, Cloud Run) Extensive use of ML modelling and LLM inference Robotics and IoT integrations across operational workflows What You'll Do Own engineering problems end-to-end across backend and systems architecture Contribute to optimisation engines and real-time decision systems Work across the stack, from infrastructure to operational ...