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    Remote Machine Learning Engineer - London, United Kingdom - Baringa Partners LLP

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    Description
    We are looking for MachineLearning Engineers to join our growing Data Analytics & AI practice.

    Thisis a unique opportunity to join an exciting, growing team but with the backingof a much larger and more established business.

    You will have the opportunityto work on a wide range of exciting and innovative projects, all whilst playingan integral role in growing our data practice.

    We set out to build the world's most trusted consulting firm – creating lasting impact for clients and pioneering a positive, people-first way of working.

    You'll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk or bring their purpose and sustainability goals to life.

    We have hubs in Europe, the US, Asia and Australia, and we work all around the world – from a wind farm in Wyoming to a boardroom in Berlin.

    Baringa believe that diversity is paramount to driving creativity, innovation, and value for our clients and for our people, and creating an environment where everyone feels a sense of belonging is central to our culture.

    You will be usingyour experience to help our clients solve their most important datachallenges.

    You would be alsoresponsible to support the growth of our team, helping them to build the skillsthey need to solve our client's challenges.

    Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance

    • Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project
    • Building ML strategy blueprints and advising clients on the different technology options (MLFlow vs Sagemaker vs W&B etc)
    • Translating business requirements (both functional and nonfunctional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, principles and standards
    • Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from onprem to modern cloudbased infrastructures (AWS, Azure, GCP)
    • Senior Consultant

    We are seekingpassionate and dynamic ML engineers who are excited by building production MLsolutions, and keen to take an active part in the growth of the company.

    Passionate individual who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements

    • Solid foundations in ML modelling, comfortable with a range of supervised and unsupervised ML algorithms
    • Interested in building AI applications, ranging from image recognition application to large language model based chatbots
    • Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio)
    • Proven ability to build ML model deployment pipelines in a scalable production environment
    • Competent in Python or one other modern programming languages
    • A master's degree in a technical discipline (computer science, engineering or another STEM discipline) would be helpful but is not essential for success
    • Promotion is solely based on your own performance, and we give you every opportunity to progress by having four promotional reviews a year

    All employees participate in the Baringa Group Profit Share Scheme, which seeks to ensure that everyone has a stake in the success of the company.

    We recognise everyone needs a well-deserved break - As such we have introduced the 'Re-charge' benefit meaning Baringa will offer all employees an additional 2 weeks of paid leave after 5 years continuous service.

    Lastly, we recognise the importance of work-life balance and we know that the 'ideal' balance will vary from person to person and will change at different stages of our working lives.

    If you require flexible working, please talk to one of our Recruiters about the flexibility you may need.
    Diversity & Inclusion

    All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background.



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