5 of 5 Machine Learning Jobs in Middlesex

planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Machine Learning (ML) Engineer II, you will be responsible for developing AI Labs' machine learning platform and creating production-ready AI-based solutions for key impact … libraries according to the technology and product roadmaps. You will work collaboratively with application engineering, product, and business stakeholders to develop principled and innovative ML solutions from research to POC to production. You will also serve as an expert within Parexel, driving AI education and providing expert guidance to other … parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back-end/server-side software to support AI solution development and More ❯

turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation … and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring: You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. … PhD in related subjects. Extensive machine learning research background and experiences. Academic publications in machine learning related conferences or journals. ML product development experiences for content discovery on large scale customer-facing clients/devices. Team overview: Global Product We're the Global Product. We're More ❯

stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data science wizardry will power our solutions, crafting efficient ML pipelines, expanding our algorithmic pool, and pushing the envelope of innovation across our product lineup. Your sharp critical thinking and knack for real-world business … processes and deciphering complex data, if AI and machine learning are your jam, and if you take pride in building top-tier ML pipelines for production environments, we want to hear from you. How Will You Shape the Future? This role is all about hands-on technical prowess … game. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes: Spotting high-value AI/ML prospects within our IFS offerings. Serving as our AI/ML whisperer, guiding us towards the latest and greatest tech trends. You'll be the More ❯

applications that integrate with data workflows. Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing data insights and decision-making. Exposure to machine learning or advanced analytics techniques is a plus. Why Join Us? Be part of a forward-thinking team, helping to build the culture More ❯

sources and tools to the grand finale of data pipeline implementation and deployment. You will ensure scalability and top-tier performance. Locking arms with ML Engineers, Data Scientists, Architects, and Product/Program Managers. Together, you'll define, create, deploy, monitor, and document data pipelines to power advanced AI solutions. … sources. Expert in large-scale data processing with Spark or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow). Solid in DevOps, CI/CD automation with More ❯