Description
Job Summary:
As a Machine Learning Engineer, you will have a strong background in machine learning, data science, and data engineering, with a proven track record of successfully delivering large-scale machine learning projects. You'll work with advanced techniques like deep learning, LLMs, and Reinforcement Learning (RL), helping to design, build, and deploy solutions that process and analyze Real Time trading data.
Key Responsibilities:
- Design, develop, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn.
- Collaborate with data engineers to design and implement data pipelines and architectures that handle large-scale datasets.
- Work closely with data scientists to develop, evaluate, and improve machine learning models for Real Time applications.
- Deploy and manage models on platforms like Azure Machine Learning, Databricks, or other cloud-based environments.
- Ensure that machine learning models are scalable, reliable, and performant in production systems particularly in high-frequency trading environments.
- Work with cutting-edge technologies such as deep learning LLMs Reinforcement Learning Real Time data processing frameworks.
Key Requirements:
- Degree/Master's or Ph.D. degree in Computer Science Engineering Mathematics Data Science or Machine Learning
- At least 6 years of experience working on large-scale machine-learning projects particularly with Real-Time or high-frequency-data
-Strong programming skills-in-Python-with-experience-in-machine-learning-frameworks-like-TensorFlow-PyTorch-or-scikit-learn
Expertise-in-big-data-technologies-such-as-Apache-Spark-Hadoop-or-similar-processing-and-storage-solutions
Familiarity-with-containerization-(eg-Docker)-and-orchestration-using-Kubernetes
Proven-experience-in-deploying-and-managing-models-on-cloud-platforms-like-Azure-Machine-Learning-Databricks-orothersimilar-environmentsDeep-understanding-of-dataengineering-conceptsincluding-datapreprocessing-featureengineering-and-modelevaluationExperiencewithDatabricks'Sparkbasedplatformishighlydesirable
What's on Offer:
A competitive rate of £Up-to£850-per-day commensurate-with-experienceA12monthcontractwiththepossibilityofextensionofferingstabilityandgrowthRemoteworkingflexibilityallowingyoutoworkfromanywhereTheopportunitytoworkwithaprestigiousinvestmentbankonahighprofilemissioncriticalprojectinthefinancialsectorOutsideIR35-offeringtaxbenefitsandmorefreedominhowyoumanageyourcontract
Why Join Us?
This is your chance to make a significant impact in one of the most dynamic fast-paced sectors - the financial markets By joining this role you'll contribute to the development of a Real-Time trading platform shaping the future how technology finance intersect If you're passionate about deep-learning largescale-machinelearning working-cuttingedgetechnologies this perfect opportunity take-your-career-next-level