1,801 to 1,825 of 3,290 Machine Learning Jobs in the UK

Databricks is seeking a Senior Solutions Architect to drive pre-sales engagements in DS/ML/GenAI across the UK&I. Based in London, you will shape customer engagements, coach teams, and influence stakeholders across cloud providers to adopt the Lakehouse platform. You will lead customer-facing workshops, develop ...

clear narratives for senior stakeholders. The role emphasizes SQL and Python, data visualization (Tableau/Power BI/D3.js), and collaboration with Product and ML teams to automate data extraction from unstructured sources like PDFs. #J-18808-Ljbffr ...

productionize data and AI solutions on the Databricks platform. You will own the architecture and deliver end-to-end systems across data engineering, ML/AI, and application development. This hands-on, customer-facing role requires cloud experience (AWS/Azure/GCP), Spark expertise, and the ability to translate ...

leading health tech company based in the United Kingdom is seeking a Senior Software Engineer with expertise in AI/ML infrastructure. You will work on developing the GenAI platform that powers AI features for the world’s top health and fitness app. Key responsibilities include building evaluation frameworks ...

behind our AI-powered tools. You will work across cloud, DevOps and CI/CD to improve reliability, scalability and performance of large-scale ML applications, manage databases, optimise workflows, and collaborate with cross-functional teams. #J-18808-Ljbffr ...

Generative & Agentic AI services, deploy scalable and secure production systems, and collaborate with engineers to evolve the architecture. The role requires experience with Azure ML, Python/JS/TS/React/Redux/Java, and Docker-based distributed systems. You will participate in a fast-paced DevOps team ...

communicate ideas clearly and build strong relationships globally within the front office Previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries Strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front-office environment Academic background in Quantitative … Computer Science, or a related STEM discipline Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy) Strong knowledge of AI/ML techniques with experience delivering related work into production Curious to explore how AI can improve how we build, deliver, and optimize workflows, with sound judgment ...

dashboards, and narrative packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality … enhance reconciliations; test, learn, and iterate. Thrive Together: Collaborate across stakeholders and share knowledge; build trust and momentum. AI Literacy: Apply agentic AI/ML where feasible; design for scale and controlled adoption. Product Mindset: Measure outcomes, simplify processes, and scale solutions. Design Thinking & Agile: Journey mapping, iterative delivery ...

Security Clearance (SC) and willing to work on site with these clients from time to time. About the role As a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time … across multiple client engagements. Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments. Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation. Managing and coaching a distributed team of engineers, setting development ...

Research Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews, architecture … decisions, and research direction for the inference stack. You will: Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery. Own the team's research ...

high‐impact opportunity to shape the foundations of one of the UK’s most exciting technology companies. Working closely with Software, Infrastructure, ML, IT, Product, QA, and Security teams, you’ll be hands‐on in delivering the platform vision and improving engineering experience. You’ll play a critical role … self‐service infrastructure, seamless CI/CD, and strong observability, while also supporting API‐first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through high‐quality engineering – setting standards and patterns that teams can adopt with confidence. ...

with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology). Strong Python programming skills. Experience with Relational Databases. Familiarity of AI/ML and its potential to support geoscience interpretation. Experience with ETL pipelines and data cleaning. Excellent communication and teamwork skills in a collaborative R&D environment. … closely with colleagues from multiple disciplines to refine and enhance workflows – particularly supporting customer workflows and customer data types. Stay current with AI/ML technology and geoscience advancements to drive innovation. Contribute to customer presentations, particularly regarding customer data and their associated workflows. Desirable Experience Awareness of data analysis ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud … secure-by-design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open-source AI/ML projects Soft Skills Delivery-focused - you ship working systems, not prototypes Comfortable operating across the stack whenneeded Strong communicator - can present to technical ...

Director of Strategy and Architecture *Multiple domains (applications, data, infrastructure, integration, AI/ML, cloud, security). *Hands-on experience with data platforms, analytics, and emerging technology adoption . *Lead Technology due diligence for M&A and support integration planning.? * Must be able to attend Stevenage twice a week … Track record of establishing architecture frameworks in environments with low standards and maturity. *Strong knowledge across multiple domains (applications, data, infrastructure, integration, AI/ML, cloud, security). *Hands-on experience with data platforms, analytics, and emerging technology adoption. *Excellent ability to communicate architectural concepts in business-friendly language across ...

agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on‐premises, or sovereign cloud … principles (ISO 27001, NIST, OWASP) Experience in pharma/bio tech or highly regulated environments is a plus Contributions to open-source AI/ML projects Soft Skills Delivery-focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical ...

Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces). Ensure data quality, labelling, and feature engineering for ML models. Leverage observability tools to inform AI systems. Reliability & Governance Define SLIs/SLOs for AI systems embedded in infrastructure workflows. Ensure robustness, explainability … auditability of AI-driven decisions. Implement feedback loops to continuously improve model performance. Develop ML/AI models for anomaly detection, incident prediction, and root cause analysis across distributed systems. Implement intelligent alerting systems to reduce noise and improve signal fidelity. Build predictive reliability models (e.g., capacity forecasting, failure prediction ...

into elegant, scalable storage solutions that exceed expectations Act as trusted technical advisor throughout the sales cycle Solution Design Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads Design for reliability, resilience, security, and scale—balancing performance with data protection Create BOMs, system architectures … years) 3-8+ years in pre-sales, solutions architecture, or technical consulting Hands-on experience with enterprise storage systems Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred) Success managing complex technical sales cycles What Sets You Apart Genuine curiosity about AI and its impact across ...

familiarity with analytics workflows, BI tools, SQL-based environments, or data platform ecosystems.Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, particularly in the context of analytics, BI, or data platforms.Preferred Qualifications:Experience building or enhancing self-service analytics, BI, data … support tools) with attention to trustworthy AI principles including safety, bias, privacy, and failure-mode analysis, and that safely integrate and operate AI/ML‐enabled solutions that improve analytics outcomes.Background developing frameworks, tools, or platform capabilities that scale across multiple teams or products, with strong governance, security, and operational ...

Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces) . Ensure data quality, labelling, and feature engineering for ML models . Leverage observability tools to inform AI systems . Reliability & Governance Define SLIs/SLOs for AI systems embedded in infrastructure workflows . Ensure … robustness, explainability, and auditability of AI-driven decisions . Implement feedback loops to continuously improve model performance . AI-Driven SRE Enablement Develop ML/AI models for anomaly detection, incident prediction, and root cause analysis across distributed systems . Implement intelligent alerting systems to reduce noise and improve signal ...

Posted on 03/11/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Job Description We are seeking an experienced Cloud Transformation Architect/.NET Technical ...

integrated data and platforms Transformation & Innovation Drive the evolution and simplification of the risk technology landscape, reducing fragmentation and technical debt Apply AI/ML use cases to enhance risk identification, monitoring, and predictive insights Introduce modern capabilities such as real-time risk monitoring, advanced analytics, and event-driven architectures … Financial Risk Proven experience building and scaling large data ecosystems Strong understanding of risk data aggregation, reporting, and regulatory expectations Experience applying AI/ML within risk, data, or analytics domains Broad experience across RFT (Risk, Finance, Treasury) landscapes and integrations Leadership & Delivery Proven ability to lead global teams ...

business outcomes Partner closely with product managers and operators to turn cumbersome manual workflows into agentic and AI‐driven automations Work with AI and ML engineers to build AI‐native systems that combine deterministic logic, traditional ML models, and LLMs Design and build secure, compliant, and reliable systems at scale ...

code review, debugging, system architecture decisions, and on-call incident response. UK engineers operate across many product areas: consumer apps, fintech, infrastructure, AI/ML, gaming, defence and healthcare. The career has a famously flat hierarchy — Senior Engineer is a destination role at most companies, paying £80,000–£140,000+ ...

Analytics or AI. Proven experience developing and delivering enterprise data and AI strategies. Strong understanding of data platforms, data engineering, analytics and AI/ML technologies. Experience leading cross-functional teams and influencing senior stakeholders. Knowledge of data governance, compliance and data quality best practices. Experience delivering business intelligence, reporting ...