901 to 925 of 1,074 Permanent Machine Learning Jobs

Models (LLMs). Perform prompt engineering and optimise prompts for enterprise-scale use cases. Develop AI-driven applications using Python and modern AI/ML frameworks. Integrate Gen AI capabilities with enterprise systems, APIs, and data platforms. Collaborate with business stakeholders and architects to translate requirements into AI solutions. Ensure … knowledge/experience: Hands-on experience with Generative AI and Large Language Models (LLMs). Strong programming skills in Python. Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar. Experience in prompt engineering and model integration. Exposure to cloud platforms (AWS, Azure, or GCP). ...

Identify performance or reliability bottlenecks and propose improvements. Required Qualifications & Experience Strong experience with Python and Django. Familiarity with Torch (PyTorch) for analytical or ML workloads. Proficiency in SGLang or willingness to learn domain-specific languages. A keen sense of system design and desire to build elegant, maintainable solutions. General … time streaming architectures. Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes/Docker). Exposure to data pipelines, analytics workflows, or ML deployment. Experience working in startup or product-led teams. Why Zuma Labs? Work in a high-impact startup environment where your work immediately affects ...

requirements. Drive engineering quality: establish CI/CD pipelines, testing strategies, code review standards, and incident response processes. Collaborate closely with the AI/ML engineer to integrate agentic AI capabilities into the core product experience. Optimise platform performance – reduce API latency, improve app responsiveness, and ensure 99.95%+ uptime. … Exchange Commission, Financial Industry Regulatory Authority, SOC 2). Experience integrating open banking APIs (e.g. GoCardless, Plaid, or similar). Exposure to AI/ML integration in production – working alongside LLM-powered features or agentic systems. Experience building and scaling engineering teams from early stage. Previous startup founding ...

requirements. Drive engineering quality: establish CI/CD pipelines, testing strategies, code review standards, and incident response processes. Collaborate closely with the AI/ML engineer to integrate agentic AI capabilities into the core product experience. Optimise platform performance – reduce API latency, improve app responsiveness, and ensure 99.95%+ uptime. … Exchange Commission, Financial Industry Regulatory Authority, SOC 2). Experience integrating open banking APIs (e.g. GoCardless, Plaid, or similar). Exposure to AI/ML integration in production – working alongside LLM-powered features or agentic systems. Experience building and scaling engineering teams from early stage. Previous startup founding ...

Senior AI/ML Engineer Shaping AI for individuals and business London (Hybrid, 3 days/week) Up to £120k + 10% bonus + £20k equity We're building AI that actually matters. AI is at the centre of every business, what you're working … learning at scale for some of the world's most ambitious organisations and individuals looking to better themselves. As a Senior AI/ML Engineer at Multiverse, you won't just ship models. You'll own the full lifecycle, influence our product roadmap, and leave a tangible mark ...

with LLMs such as OpenAI/ChatGPT, Google Gemini, Nvidia, and Writer . Work Across the Commerce Ecosystem: Support the integration of AI/ML capabilities with enterprise platforms, helping connect data and services across Commerce, PXM, CDP, DAM, CMS, and CRM systems. Develop and Maintain Data Solutions: Design … customer data. Contribute to Delivery & Engineering Excellence: Collaborate within agile delivery teams, contributing to solution design, development best practices, and DevSecOps processes, while learning from senior engineers and architects across the Accenture Data & AI community. ...

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

Middleware Integration: Practical experience building recipes or connectors in Workato to trigger AI workflows from external business events is a strong plus. · Data & Traditional ML: Experience with Databricks for data engineering (PySpark) or building classical ML models (Scikit-Learn, XGBoost) is beneficial for handling complex data pre-processing and hybrid ...

range of domestic, agricultural, and enterprise sectors. They operate over 75 depots and 800+ tankers. This client are looking to add a talented Data & ML Engineer to join their team as they enjoy a sustained period of growth. What you'll do: Take ownership of the Microsoft Fabric ecosystem (OneLake …/CD practices, cost efficiency, and reliability Oversee enterprise BI platforms (Power BI, Qlik), managing semantic models, performance tuning, and automated refresh processes Support ML/AI initiatives by developing feature pipelines, enabling MLOps, and driving model deployment with Azure AI/ML/OpenAI Establish and maintain data quality ...

with client business goals. Serve as technical design authority for AWS, guiding team architectural standards and decision making. Support the delivery of AI/ML and Gen AI proof of concepts, leveraging cloud-native services. Cloud Strategy, Automation & Governance Develop and refine cloud landing zones, infrastructure-as-code, and automation … frameworks such as 7Rs. Standardise tooling, and governance to improve technical efficiency and consistency across teams. Stay current with and integrate emerging technologies (AI, ML, serverless) to maintain technical edge. People Leadership & Team Development Provide technical mentoring for cloud excellence, focusing on best practices, CI/CD and operational excellence. ...

deployment → monitoring → iteration Make pragmatic trade-offs between speed, quality and technical elegance Product & User Impact Translate messy real-world user problems into testable ML solutions Partner closely with Product to ensure models improve user trust, confidence and discovery Focus on feature value, ROI and the signals that truly matter … frameworks and evaluation pipelines Decide where data investment matters most Technical Direction & MLOps Establish pragmatic MLOps practices (deployment, monitoring, iteration) Build scalable but lightweight ML pipelines in AWS alongside engineering Ensure models are robust, reliable and safe for production Team & Culture Set the technical bar for data science Mentor future ...

using modern cloud platforms (AWS/Azure/GCP). Build scalable APIs, inference pipelines, and end‐to‐end MLOps workflows (MLflow, Kubeflow, Azure ML, Vertex AI, etc.). Shape the future of our AI platform Prototype bold new ideas fast. Iterate with a “learn quickly, ship often” mindset. Collaborate … experts to identify high impact use cases and refine strategy. 🛠️ What You Bring Must‐Haves Strong Python engineering skills and experience shipping AI/ML systems into production. Hands‐on experience with LLMs, RAG, Transformers, or NLP/IR architectures. Experience with prompt engineering, evaluation, and optimisation techniques. Comfortable working ...

project delivery for some of the leading FTSE-100 companies, shaping how they apply data, analytics, and innovation across their business lifecycle Continuous learning and growth through Accenture’s world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business AI, focusing on domains like ...

data platforms and cloud-based solutions. Contribute to CI/CD practices for data engineering and platform deployment. Enable the integration of AI/ML capabilities to enhance data-driven outcomes. Required Skills & Experience Strong hands-on experience with Azure Data Factory and Azure Databricks . Advanced proficiency … knowledge of Azure cloud services within a data engineering context. Experience implementing and managing CI/CD pipelines . Familiarity with integrating AI/ML workflows into data platforms. Strong problem-solving skills and ability to work in complex data environments. Preferred Qualifications Experience leading or mentoring data engineering teams. ...

including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with … systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases ...

Server and other upstream sources. 🐟Develop and optimise Delta tables, workflows, and jobs within the Databricks lakehouse. 🪈Support the development and productionisation of ML feature pipelines in collaboration with the analytics team. 🚿Ensure pipelines are well-tested, monitored, and documented. 🧘🏻Mentor and support junior and mid-level engineers through code … with Azure cloud services. Demonstrable ability to mentor and upskill less experienced engineers. Desirable: Experience with SQL Server and hybrid architectures. Desirable: Exposure to ML feature engineering or feature store development. Desirable: Experience in financial services or a regulated environment. Desirable: Familiarity with data governance practices and tooling. The interview ...

execute the AI product strategy aligned with business goals and regulatory requirements in wealth management. Identify high-impact use cases for AI/ML, such as portfolio optimization, personalized client insights, risk profiling, and automation of advisory workflows. Collaborate cross-functionally with engineering, data science, compliance, UX, and commercial teams … Required Experience & Skills: 4–7+ years of product management experience, ideally within fintech, wealth management, or financial services platforms. Strong understanding of AI/ML concepts and experience working with data science teams. Familiarity with investment products, portfolio management, and client advisory processes. Proven track record of launching data-driven ...

POWER BI DEVELOPER Up to £50,000 | Leicester (Hybrid) | Finance Team THE COMPANY A leading UK organisation investing heavily in modern analytics and building gold standard data infrastructure. Operating at scale with sophisticated finance operations ...

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning . … NeurIPS, ICML, or ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply ...

focused on helping clients eliminate wasteful and fraudulent ad traffic. The Role We are looking for an experienced Data Scientist with strong ML expertise to build and improve models that detect invalid traffic (IVT) and protect ad spend. You'll work with large-scale data, design production-ready ML systems … collaborate closely with engineering to keep models performant and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights into product features Ensure compliance ...

Innovation Software Engineer (Numerical Modelling, AI/ML, C++/Python) Guildford, Surrey (On-site) £65000 - £100,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office click apply ...

//app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you. ____________________________________________________________ The company is seeking an AI/ML Engineer to own and evolve the intelligence layer behind Lily. The role works across LLM orchestration, prompt engineering, agentic AI systems, model evaluation, and data … pipelines to make the AI co-pilot faster, safer, and more autonomous. This is a hands-on, high-ownership role where the AI/ML Engineer’s work directly shapes the product experience for thousands of users as the company scales across the US market. What You’ll Do Design ...

//app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you. ____________________________________________________________ The company is seeking an AI/ML Engineer to own and evolve the intelligence layer behind Lily. The role works across LLM orchestration, prompt engineering, agentic AI systems, model evaluation, and data … pipelines to make the AI co-pilot faster, safer, and more autonomous. This is a hands-on, high-ownership role where the AI/ML Engineer’s work directly shapes the product experience for thousands of users as the company scales across the US market. What You’ll Do Design ...

fast-paced, evolving environments. Desirable Proficiency in SQL for data extraction and transformation. Knowledge of supply chain/logistics KPIs. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries ...

Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions … system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based ...