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

    Baringa Partners LLP
    Baringa Partners LLP London, United Kingdom

    5 days ago

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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.

    Who are we?

    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. We work with everyone from FTSE 100 names to bright new start-ups, in every sector.

    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. Our clients love how we get to know what makes their businesses tick – slotting seamlessly into their teams and being proudly geeky about solving their challenges.

    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. Find us wherever there's a challenge to be tackled and an impact to be made.

    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.
    What will you be doing?

    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.

    Typical engagementsinclude:
    - 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
    - Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure
    - 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
    - Performing maturity assessments across clients' Cloud / AI environments and recommending improvements
    - 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 non-functional) 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 on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)
    - Working with clients in key areas of ML model governance, such as in defining principles including fairness, transparency, interpretability, and accountability. "I've been working with a large energyclient to build a new intranet integrating internal and external services,including a smart assistant utilising GPT models and latest cloud technologiesin Azure. It is great to get hands-on experience with GPT models and isrewarding to see the model we've pulled together is able to perform to thelevel that meets the client's expectation. Working at Baringa has given me somany opportunities to work on various innovative and exciting new technologiesand ideas. I have since expanded the spectrum of my skills and I really enjoythat." – Jane C., Senior Consultant So, what are we looking for? 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. We'relooking for people who can both advise our clients and get hands on in technicaldelivery to bring a solution to life. Below we list someof the skills we are looking for. Of course, do not expect you to be an expertin all areas and we understand that experiences vary based on the backgroundand years of experience: - 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
    - Ability to design and maintain ML pipelines and architectures on modern frameworks to meet functional business requirements.
    - 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)
    - Knowledge and experience of deep learning frameworks (e.g., PyTorch, Tensorflow)
    - 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
    - Be a 'lifelong learner' and can demonstrate a drive to always be learning and developing your skillsets. We recruit individualsat all levels based on merit. Don't worry about 'fitting into a quota' – ifyou've got the skills we are after we would love to talk to you.

    So, what's in it for you?

    Well, it's up to you. Baringa is what you make it.

    • Promotion is solely based on your own performance, and we give you every opportunity to progress by having four promotional reviews a year
    • We're proud to put people first with wellbeing at the forefront of our culture, one example of this is that every employee receives £300 a year to put towards their wellbeing In 2022 this was recognised in our #1 ranking in the UK's Great Place To Work 'Best Workplaces for Wellbeing'.
    • 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. We are proud to be an Equal Opportunity Employer.
    We would like to actively encourage applications from those who identify with less represented and minority groups. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply.

    #J-18808-Ljbffr
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