Job Title: Machine Learning Engineer - 10+ Years' of ExperienceNo Sponsorship AvailableJob Description Our client's Global Platform and Operations team is seeking a skilled Machine Learning Engineer to join them on a rolling contract basis. This engineer will report directly to the Engineering Manager and will be responsible for designing and implementing machine learning models and solutions. Responsibilities You will be helping to build their suite of Data, AI, and ML products. This will included (but not limited to) LLM and Generative AI.Collaboration with key business stakeholders to clarify their requirements, use cases, and business metricsWorking closely with Data Engineers to help set up their data pipeline and prepare various data sets for model buildingWorking with business domain experts to better understand what data is being used and help to create features for model training.Design, build, and evaluate modelsPartnering with the SRE team to help with the deployment of models for inference. You will then also monitor the models performance and retrain if and when it is needed.Communicate and explain the models to different business partners to secure additional adoptionEssential Skills Proficiency in PythonHands on experience with SQL & different database technologiesProduction Experience - Conducting training and evaluation tasks on different ML models with pipelines and metricsExperience with Major Machine Learning Algorithms - Statistical regression and deep learningMachine Learning tools, libraries, and frameworks - SciKit-Learn, Pandas, Numpy, PyTorch, MilibWhy Work Here? Join a dynamic and innovative team where you will have the opportunity to work on cutting-edge machine learning projects. Enjoy a supportive work environment that values collaboration and professional growth. Work Environment The work environment is fast-paced and collaborative, providing access to advanced technologies and tools. You will have the flexibility to work on challenging projects and contribute to the development of innovative solutions. The dress code is casual, and the team promotes a healthy work-life balance. Job Type & Location This is a INSIDE IR35 Contract position based out of our client's head London office.Location London, UKTrading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available athttps://www.allegisgroup.com/en-gb/privacy-notices.Toaccess our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go tohttps://www.allegisgroup.com/en-gb/privacy-notices.Weare part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice athttps://www.allegisgroup.com/en-gb/privacy-noticesfor details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.