101 to 125 of 140 Machine Learning Jobs in the Thames Valley

NVIDIA Corporation in Reading seeks a Solutions Architect with deep GenAI, data science, and ML expertise to engage with Google Cloud and our hyperscaler partners. You will be the primary technical liaison between NVIDIA, partners, and end-customers, delivering PoCs and scalable NVIDIA-based solutions for AI workloads. You will ...

collaborate with cross-functional teams in an Agile environment. The role emphasizes building cloud-based, data-driven solutions, API integration, and AI/ML service capabilities, with a focus on reliability and #J-18808-Ljbffr ...

within the squad. Working in partnership with more experienced staff, their responsibilities will expand based on developing capabilities, including growing exposure to AI/ML and GenAI approaches. A key part of the role is collaborating with colleagues across Investment Technology & Distributions, Cloud Teams, and Tech departments including Enterprise Architecture … tools) across the platform's Cloud environment, contributing to ongoing Cloud migration activities. Apply AI-assisted development tooling (e.g. GitHub Copilot) and AI/ML techniques where they add value to accelerate coding, testing, deployment and delivery. Contribute to opportunities to apply AI/ML and GenAI across the platform ...

early-stage role where you will help write the playbook. You will be as comfortable in a benchmarking discussion with a customer's ML engineers as you are presenting a solution to their technical leadership, and you will act as a vital channel back into our own product and engineering … next. What You'll Do Work with Lumai’s business development lead, owning the technical relationship Conduct deep technical discovery with customer infrastructure and ML engineering teams Translate customer requirements into a Lumai-based solution, mapping needs against both near-term and roadmap solutions Define the shape of an engagement ...

algorithmic benchmarking. Experience investigating crosstalk, drift, coherent errors or signal-chain distortion. Experience transferring experimental methods into repeatable engineering or operational workflows. Knowledge of machine learning or numerical optimisation techniques applied to physical systems. Familiarity with control electronics, waveform generation and microwave signal chains. Experience with quantum software ...

Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures ...

reduced cost-to-serve and improved productivity. Deep understanding of software implementation delivery, integration architecture, and data-driven performance management. Experience with generative AI, machine learning, or automation platforms (e.g. RPA, workflow orchestration, low-code tools).Experience building and leading high-performing, globally distributed specialist teams. Strong experience ...

Barclay Simpson is seeking an AI/ML Security Architect to lead the secure adoption of Generative and Agentic AI across a large enterprise. You will drive security architecture, enforce secure-by-design patterns and collaborate with engineering, cloud and security teams on LLMs, RAG, AI agents and data flows. ...

support access to relevant healthcare datasets. Develop and govern standing patient cohorts within secure data environments. Drive innovation through automation and AI/ML - e.g., accelerating cohort identification, code list development, or evidence synthesis Ensure all activities meet scientific, governance, privacy and compliance standards. REQUIREMENTS Degree in epidemiology, statistics, mathematics ...

along with engineering enablement helps our customer to go the extra mile with their business projects including ACS Wave, Robotic Solutions and AI/ML within Retail, Energy, Engineering, Health Care and other public sector. You can find out more about life at ACS and our commitments to diversity ...

identify the most modern, digitally enabled ways of delivering those that remain. Agentification and AI: Redesign horizontal process ownership, leveraging intelligent automation, machine learning, and autonomous agentic workflows to eliminate manual activities and build a high-value onshore Centre of Excellence. Sweating the Systems Assets: Maximise value from ...

Abingdon, you will contribute to shaping workflows and data strategies for subsurface interpretation. You will collaborate across disciplines, stay current with AI/ML trends, and help advance customer data initiatives within our R&D environment. Hybrid work with 3 days in the office. #J-18808-Ljbffr ...

researchers, software engineers, robotics specialists, and domain experts to drive practical deployment and publish impactful work. The role emphasizes building end-to-end ML pipelines, data curation, and rigorous evaluation to continuously improve model performance in real-world settings. #J-18808-Ljbffr ...

develop rules for predicting antimicrobial phenotype from genotype, and support genome and AST datasets in a fast-paced research environment. You will work with ML models on antimicrobial prediction, liaise with stakeholders across disciplines, and contribute to publications and open datasets. #J-18808-Ljbffr ...

aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environments Practical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation or predictive ...

practical experience delivering system design, application development, testing, and operational stability at enterprise scale Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments Expert in one or more programming languages …/or Java Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands-on experience in developing applications utilizing Large Language Models ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide Debug and fix defects in production systems, learning how large-scale applications behave under real conditions Write and maintain automated tests as part of the team's standard delivery workflow Participate in code … data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates from ...

Platform’s Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle … This is an exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover ...

Gravis Robotics is a startup turning heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control enables a single operator to safely manage a fleet of earthmoving machines in a gamified environment. With over a decade of academic experience … units) Familiarity with ROS or similar robotics frameworks Experience with feature-flagged deployments, staged rollouts, or long-lived platforms Experience with data curation for ML applications Experience guiding, mentoring, or leading junior colleagues, students, or project teams. Familiarity with or interest in utilizing AI coding tools. This Role ...

Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is requiredMinimum ...

Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure ML and AI Search. Provide technical leadership, ensuring engineering rigour, code quality and best practice. Support pre-sales activity through prototyping, research and proof-of-concept …/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers strong development culture, structured learning pathways, competitive salary progression, generous leave, wellbeing support, health cash plans, volunteering days, life assurance, EV and tech schemes, retail discounts, onsite gyms (where ...

major technology companies, and working on product integration with vertical‐specific technology platforms or horizontal business applications. Significant technical depth in AI/ML, customization of open models, or creation of agentic systems and contributions to product integrations and software libraries. Experience leading technical collaborations with engineering and product teams … specific technology platforms or horizontal business applications. Exceptional ability to distill complex technical concepts and articulate value propositions to audiences ranging from AI/ML Engineers to C‐suite executives, with end‐to‐end experience defining, integrating, building, and bringing solutions to market with strategic ISV partners. Familiarity with advanced ...

This major international organisation is seeking an AI/ML Security Architect to support the secure adoption of Generative and Agentic AI across their complex enterprise environment. As AI/ML Security Architect, you’ll provide security architecture and design authority across AI/ML initiatives, working closely with engineering ...

Clearance: SC Cleared or eligible The Role As an AI Security Tester, you'll simulate real-world attacks to uncover vulnerabilities in AI/ML systems, from stress-testing model guardrails to identifying data privacy risks, ensuring secure and trustworthy AI deployments. What You'll Do Conduct adversarial testing … mitigation strategies What We're Looking For 5+ years in offensive cybersecurity (AppSec, pen testing, red teaming) Minimum 2 years focused on AI/ML security Strong Python and Java programming skills Hands-on experience with ML frameworks such as PyTorch or TensorFlow Familiarity with AI tooling (LangChain, LlamaIndex ...