1,201 to 1,225 of 1,304 Machine Learning Jobs in the UK

Databricks Inc. is looking for a Senior Specialist Solutions Engineer (AI/ML) in London, UK. This role involves leading technical solutions for customers in ML applications, mentoring teams, and providing advanced technical support during sales. A successful candidate will have a robust ML background and customer-facing experience. … position offers an opportunity to work on cutting-edge technologies and requires strong communication skills, a passion for ML, and can involve some travel. The company emphasizes diversity and inclusion in its hiring practices. #J-18808-Ljbffr ...

Experience with monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take … ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise ...

leveraging these tools for efficiency and insight. Oversee and ensure the provision of necessary training and resources to staff to effectively use AI/ML and Agentic AI capabilities in their daily work. Required Experience & Skills Essential Senior leadership experience in Client Success, Services, Support or Delivery within enterprise software … operate credibly at C-level and board level, Demonstrated experience managing escalations and turning around at‐risk accounts. Demonstrated experience with AI/ML tools for reporting, predictive analytics, or process automation in a Client success or services environment. Desirable Background in core banking, cloud, fintech, payments or regulated financial ...

Senior ML Platform Engineer - Robotics London, Hybrid Contract - Long Term Salary: Competitive Harnham are working with a growing robotics and AI company that is looking for a Senior ML Platform Engineer to join their team in London. This is a hands-on platform engineering role, focused on owning the software … tooling, web UI, and infrastructure layer used by data operators, ML engineers, and robotics engineers. You will be responsible for building and improving the internal applications and orchestration tooling that support robot data collection, dataset workflows, model training infrastructure, and on-robot deployment. The Role You will: * Own and extend ...

development of our proprietary AI platform - no plug-and-play, all innovation. What We're Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch ...

tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub) and API-based integration. Understanding of AI/ML data preparation pipelines and feature store design. What Success Looks Like in This Role Clear, scalable data models adopted across teams and projects. High trust … work across diverse data domains including asset management, customer operations, leakage, regulatory reporting, and sustainability. Benefits: Competitive salary dependant on skills and experience Learning and development opportunities, including mentoring and a range of formal courses and open learning resources. Entry into the company annual bonus scheme. Annual leave ...

judge what’s actually possible with these tools – and challenge the assumptions when the rationale isn’t clear. iwoca’s data scientists build probabilistic ML models on credit and commercial data, deployed in production, making real‐time lending decisions across lending, product, operations, and strategy. The group has approximately … direct involvement. Technical background: You have a background in probability, statistics, or a related quantitative field, with hands‐on experience building and overseeing probabilistic ML models on structured commercial or financial data. Production experience: You have managed the full lifecycle of models in production – deploying, monitoring, and retiring them. ...

most critical business problems. Responsibilities Drive large scale business transformation initiatives and help customers realize the business value of our partnership and AI/ML offerings. Act as the primary Transformation advisor for C-suite stakeholders, developing and delivering Financial Services specific points of view on how Google Cloud … Google AI/ML suite can drive measurable business value, competitive differentiation, and ROI. Define metrics like Reduced Time-to-Market, Increased Customer Lifetime Value, or Operational Cost Reduction through Google AI/ML suite. Be responsible for the "Master Service Plan." Sequence technical migrations so they deliver early wins ...

impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing Designing, building and deploying AI/ML solutions end‐to‐end Working closely with users to translate real‐world problems into technical solutions Developing models using production‐grade Python Deploying AI solutions … Applied AI Scientist/Data Scientist Experience building and deploying AI solutions without reliance on cloud‐managed services Solid understanding of modern AI/ML techniques Experience with GPU‐based model training/inference Ability to work independently and own delivery end‐to‐end Strong problem‐solving skills and stakeholder ...

enterprise AI solutions in the European market. REQUIRED QUALIFICATION S12–18 years of enterprise technology sales experience, with a strong track record in AI, ML, Conversational AI, or CX Automation solution selling .Minimum 5 years of direct experience selling AI/ML-powered platforms or intelligent automation solutions to enterprise ...

impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing Designing, building and deploying AI/ML solutions end-to-end Working closely with users to translate real-world problems into technical solutions Developing models using production-grade Python Deploying AI solutions … Excellent Python engineering skills (production-level) Experience building and deploying AI solutions without reliance on cloud-managed services Solid understanding of modern AI/ML techniques Experience with GPU-based model training/inference Ability to work independently and own delivery end-to-end Strong problem-solving skills and stakeholder ...

founders, backend and mobile engineers, and the operations team. Many of Aurora’s most important features live at the intersection of product judgment, ML systems, and agent orchestration - this role owns that intersection. This is a high‐ownership role. You will take ambiguous ideas, turn them into concrete systems, ship … balancing customer needs, technical constraints, and delivery speed Design and implement AI-powered workflows using LLMs, tools, and agentic systems Build and iterate on ML-driven features, including classification, ranking, extraction, and decision support Design agent flows that combine automation with human‐in‐the‐loop escalation Work closely with ...

Doing Owning category strategy – Develop and execute procurement strategies across technology categories including cloud, SaaS, infrastructure, broadcast/streaming tech, cybersecurity, and AI/ML tooling Running sourcing & negotiations – Lead end-to-end sourcing activities, from RFPs to contract negotiation, securing favourable terms and long-term value Building vendor relationships … inform sourcing decisions and bring fresh ideas to the table Supporting AI & innovation initiatives – Contribute to the evaluation and procurement of AI/ML solutions and help embed responsible, forward-thinking sourcing practices What You'll Bring 3–5 years' experience in technology procurement, sourcing, or category management Solid track ...

tool configuration and programming. Awareness of modern data driven marketing practices. Strong analytical and problem-solving skills. Strong skills in data analysis/manipulation. Learning Mindset - Curious about technology and how it works. Client-focused attitude — a customer advocate. Ability to creatively explain and present complex concepts … easy to understand manner. Experience with data related technology - SQL, databases, data integration tools, APIs, Machine Learning. Benefits We offer all the benefits you’d expect from a great place to work: 100% healthcare coverage, 28 days of Annual Leave (inclusive of the usual public holidays in England ...

tier academic performance (Olympiad medalist or first-class degree from Oxford, Cambridge, Imperial, or MIT). Possesses deep technical expertise in AI/ML, specifically with LLMs, and a track record of building production-grade systems or publishing at venues like NeurIPS. Exhibits a high-intensity builder mentality with … priority. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities ...

systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions. What Youll Do Design, build, and integrate AI applications into end-to-end workflows. Embed agentic … capabilities and translate them into practical, high-value implementations. What Were Looking For Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems. Hands-on experience with LLMs, AI services, or agentic AI frameworks. Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability. ...

Overview Our client is building advanced AI and autonomy technologies that solve some of the most technically challenging problems in computer vision, robotics and machine learning. Role Overview We are seeking a Senior Robotics Software Engineer to develop, test and deploy software for autonomous and semi-autonomous robotic systems. … Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership of technical ...

engagements globally. Requirements Senior leadership experience in Sales Engineering, Solutions Architecture, Field CTO, or equivalent enterprise‐facing technical roles. Deep expertise in AI/ML systems, including LLM architectures, orchestration frameworks, and enterprise deployment models. Strong understanding of enterprise integration patterns, security considerations, and scalable system design. Proven track record … Exposure to cutting‐edge enterprise AI technologies and Fortune 500 customers. Significant influence over product strategy, messaging, and go‐to‐market direction. Fast‐paced learning environment working alongside experienced founders and technical leaders. International scope with opportunities to build and scale teams across regions. Strong career progression potential ...

experience designing enterprise data architectures and Microsoft-based solutions Brings deep knowledge of the Azure data ecosystem and Power Platform Understands analytics, AI/ML, and modern data technologies Can communicate complex technical concepts clearly to non-technical stakeholders Has a collaborative, influencing style and enjoys working across teams … your family Enhanced family-friendly policies Free eye tests A paid volunteering day each year Free on-site parking Long service awards Ongoing learning and development support A range of social events, including our Christmas party Retirement advice and support About Altro Altro Group is home to two leading ...

technology strategy and innovation pathways, ensuring alignment with Group objectives and market evolution. Lead the evaluation and integration of emerging technologies, including AI/ML enhanced detection, workflow automation, and next generation platform engineering capabilities. Design multitenant platform architectures, secure cloud patterns, integration models and advanced telemetry pipelines to support … improvement opportunities. Any other reasonable duties as required by management from time to time. Behaviours Focus on Clients & Customers Work as One NCC Always Learning Inclusive & Respectful Deliver Brilliantly #J-18808-Ljbffr ...

energy sector. They are expanding into new industry sectors and are seeking to hire a Software Engineer with expertise in advanced AI/ML solutions within production software. As part of a newly formed AI team, you would play a key role in designing, developing and deploying new software features … software tools. You’ll understand the importance of security and compliance for industrial applications and be comfortable with structured and unstructured data for ML guided inference. You are a senior engineer, so will be comfortable with technical leadership and project ownership whilst having the ability to work well within ...

systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. KEY RESPONSIBILITIES Research & Development Systematically collect and catalog coding agent failure modes … language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don’t fulfill all of these ...

bridge between product teams and clients, ensuring requirements translate into high‐quality deliverables. Influence technical direction for platform modernisation projects and AI/ML integration. Contribute to proposals, technical documentation, demos, webinars, and training sessions. Collaborate across geographically distributed teams, sharing knowledge on emerging technologies. What We’re Looking … discussions, propose architectures, and drive solutions. Entrepreneurial mindset, adaptable, and commercially aware. Desirable Experience in SharePoint or Enterprise Content Management. Exposure to AI/ML technologies applied in enterprise SaaS contexts. Why This Role Is Exciting Work on cutting‐edge AI‐driven SaaS products and data modernisation projects. Collaborate with ...

company is seeking a Solutions Executive to support its continued commercial expansion across biotech and biopharma markets. This organisation specialises in: Bioinformatics AI/ML-enabled analytics Multi-omics data integration Translational research & precision medicine The company works closely with biotech and pharma clients, supporting programmes across oncology, immunology … multi-omics Strong communication and relationship-building skills Desirable Experience Bioinformatics or computational biology background transitioning into commercial roles Experience in AI/ML, spatial biology, digital pathology, or precision medicine environments Exposure to cloud platforms, data governance, or trusted research environments Startup or scale-up experience Professional services ...

shipped, sold, and lasted — not just demos. Key Responsibilities Hands‐on Full‐Stack Engineering: Ship production code across the stack — frontend, backend, AI/ML, and infrastructure. As a player‐coach, you will contribute daily, not just review code. Agent‐Driven Development: Lead how AIP builds with agents. … stack engineering capability: strong in at least three of the following — modern frontend (React/TypeScript), backend (Python/Node/Go), AI/ML systems and pipelines, or infrastructure. You are comfortable picking up tickets across the stack. Expertise in agent‐driven development. You know when to drive ...