1,426 to 1,450 of 1,561 Machine Learning Jobs

build reproducible training and evaluation data pipelines Track what frontier labs are shipping and bring back what's relevant Essential experience Experience building ML/AI systems in a research-adjacent context, industry, lab, or PhD Experience building LLM-powered systems: prompts, context engineering, agent architectures Experience with evaluations … with model training, including the data, optimisation, and evaluation work around it Strong engineering fundamentals, fluent in Python and comfortable across the AI/ML stack Rigorous approach to experiments: you think about confounds and can defend your results Experience with training and evaluation data pipelines, including reproducibility and observability ...

implementations and innovation -Communicate GenAI potential and technical challenges to engineering teams and C-Level executives, leveraging expertise in GPU based compute infrastructure and ML frameworks -Identify cross-industry patterns and trends to accelerate innovation and represent best practices to customers and partners Working with diverse teams across the organization … within short lead times and with minimum of waste. Work to develop and maintain a highly automated Continuous Delivery pipeline. Your skills and experience ML and using GenAI to solve problems Good experience in Python, NodeJS, ReactJS, Java Agentic Framework experience is an added advantage Experience using LLMs, ML algorithms ...

This role sits within a major UK Defence digital transformation programme, driving the design, build and demonstration of AI/ML proof-of-concepts across sensitive mission data, legacy estates and modern cloud platforms. The environment is heavily aligned to Oracle technologies, so experience with Oracle’s cloud-native … stack is strongly desired (but not essential). Key Responsibilities/Experience • Design, prototype and deliver AI/ML PoCs (RAG pipelines, LLM-powered services, agent-based automation, generative use cases) aligned to Defence workflows and mission needs. • Build high-performance backend components to support AI workloads, including retrieval layers ...

in a fast-paced R&D environment Excellent communication skills to articulate technical issues and blockers clearly Desirable Skills: Experience with AI/ML tools, LLMs, speech services, RAG systems, or AI APIs Experience with Unreal Engine, Unity, or other real-time 3D development environments Familiarity with Docker, FastAPI ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

technical discipline Technical knowledge in data centers design and construction, specifically POD-level architecture and modular design, high-density compute environments (AI/ML workloads) and/or liquid cooling architectures Project Management Experience: Experience with Product Design or Product Management with a working knowledge of Agile/Scrum … edge DMAIC experience for process improvement and drive for excellence Experience delivering POD-level architecture and modular design High-density compute environments (AI/ML workloads) and cross-domain system integration (cooling, power, structural) Proven ability to author whitepapers and thought leadership and lead system-level design trade-off discussions ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

creatives, strategists, and studio teams to understand workflows and pain points. Translate needs into user stories, functional specs, and prioritized backlogs. Work closely with ML engineers, platform developers, and integration architects to refine requirements. Ensure features support both production scalability and creative quality. Product Delivery & Release Management Own sprint planning … . Strong understanding of advertising and content operations workflows—especially versioning, localization, and high-volume creative production. Experience working with cross-functional engineering teams (ML, platform, DevOps). Clear communication skills with the ability to translate technical capability into business value. Preferred Experience within WPP, WPP Production, or large agency ...

platforms integrate with Microsoft Dynamics 365 and Dataverse, prior experience isn't required - we're happy to support the right developer in learning these technologies over time. This is a great opportunity for someone who enjoys backend engineering, APIs, cloud services, automation, and solving real-world technical problems … Vault Exposure to Microsoft Dynamics 365 or Dataverse SQL and relational database experience JavaScript or TypeScript knowledge Interest in AI/ML concepts, LLMs, OCR, or workflow automation Experience with Power Platform (Power Apps/Power Automate) What We Offer Remote-first working environment Salary up to £55,000 depending ...

WOULD BE GREAT IF YOU ALSO HAD Experience with Databricks or Snowflake, particularly in analytical or data-intensive contexts Familiarity with AI/ML in production: model serving, prompt pipelines, or agentic patterns Experience with consumption-based and subscription billing Experience with self-serve billing platform integrations Exposure to aviation … during your birthday month ⚡ Octopus EV salary sacrifice scheme 🌍 Work remotely anywhere in the world for up to 1 month per year 📚 Annual learning and development budget. OAG is committed to creating an inclusive workplace where everyone feels valued and able to perform at their best. We welcome applications ...

reporting and insight transformation initiatives • Partner with senior stakeholders to identify and prioritise high-value opportunities • Guide development of predictive models , forecasting tools and ML-driven solutions • Collaborate with Product, Engineering and Governance teams to deliver measurable business impact • Build a culture of experimentation, innovation and continuous improvement Key Details … Central London • Team: Direct responsibility for Analytics and Data Science leadership, managing c.14 specialists • Tech Environment: SQL, Python, R, AWS, Snowflake, Tableau, Analytics & ML platforms • Visa Sponsorship: May be considered for exceptional candidates Interested? Please apply below. ...

contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability … contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...

across triage, pricing, defect detection, compliance verification, fraud analytics, and claims modeling. In this role you will: Build, train, and iterate CLIENT's core ML models: pBad triage, hazard-based risk pricing, and defect detection modules covering appraisal, income recalculation, and ATR compliance Build and maintain the servicer compliance verification … loan data Basic Qualifications: 6+ years of quantitative modeling with at least 3 years in mortgage credit risk, structured finance, or specialty insurance Supervised ML models built, deployed, and reviewed by external auditors Strong Python with scikit-learn, XGBoost, or PyTorch Preferred Qualifications: Non-QM mortgage underwriting, defect taxonomy ...

settle in, you'll take on more of the wider people work recruitment, performance, identifying where the team needs to grow in AI/ML and SRE. We'll support you to learn this side of the role; we don't expect you to arrive with it fully formed. … apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Hands-on exposure to AI/ML in production systems Experience helping establish SRE or observability practice early on A track record of modernising legacy systems without breaking them What this role offers someone ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise the link between AI-powered biological discovery and real-world clinical outcomes. This role sits across biological … discovery and scalable ML engineering. You will own key parts of the end-to-end architecture from data to model to evaluation to deployment, and work closely with ML engineers and software engineers to productise the platform into client-ready outputs. This is a senior role with significant autonomy ...

/ML Engineer (Chandler, AZ): Design, build, and deploy end-to-end AI/ML systems spanning model research, engineering, and productionization. Architect and establish standards for the full ML lifecycle. Develop and fine tune LLMs and transfer based models (BERT, Longformer, Mixtral)for tasks such as NER, structured data ...

focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact. What You’ll Do Integrate AI/ML components into applications and operational workflows Design and implement Retrieval-Augmented Generation (RAG) solutions Evaluate LLM performance, identify failure modes, and implement mitigation strategies Test … appropriate Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions What You’ll Need Experience building or integrating AI/ML systems into real-world applications Strong understanding of LLMs, ML models, and core statistical concepts Experience evaluating AI systems and improving reliability and performance Ability ...

customer feedback. What You Bring: Your curiosity lets you ask what if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience ...

value from BA’s operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/ML and a strong ability to translate insights into business impact. Key Responsibilities Design and implement predictive and prescriptive models for MRO AI Solutions. Perform exploratory … performance. Develop models and analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). ...

enable responsible and scalable AI practices across the enterprise WANTS Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field. 5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just ...

providers where appropriate. Data, Performance & Governance Own ecommerce performance reporting, analytics, and KPIs to support informed commercial decision making. Establish a culture of testing, learning, and continuous optimisation across the ecommerce function. Ensure digital and AI initiatives adhere to appropriate governance, privacy, security, and ethical standards. Monitor market trends … actionable AI and digital strategies. Exceptional cross-functional collaboration and communication skills. Preferred Experience working with bespoke or complex ecommerce platforms. Familiarity with LLMs, ML models, recommendation engines, or automation frameworks. Previous involvement in large-scale digital transformation programmes. Experience leading multidisciplinary teams across commercial and technical domains What ...

experienced Principal Cloud DevOps Engineer to help us to build a robust and scalable infrastructure for our ID verification solution powered by Machine Learning. You'll join a talented DevOps team who are highly creative and passionate around new ways to improve our existing infrastructure. We work … Agile environment where we are constantly learning and exchanging ideas. What you will do: You'll manage and improve our existing infrastructure You will help us build the next generation of our platform You will streamline and automate our deployment processes You will work closely with our Security team ...

opportunity for someone looking to kick-start a career in AI. Core responsibilities: Designing, building, and testing AI-powered experiments working with leading-edge ML models. Building and deploying AI-powered microservices following standard design patterns. Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment … without micro-management, be flexible and have initiative to solve problems. A rigorous and scientific approach to problem solving A demonstrable track record for learning and mastering complex topics Keen attention to detail Strong verbal and written communication Demonstrable experience working with Python and good Python knowledge A good ...