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Careers

Lead Machine Learning Engineer (13022024)

Full-Time

Hybrid

Letterkenny, County Donegal, Ireland

Job Details

Role: Lead Machine Learning Engineer 
Job Type: Permanent 
Location: Hybrid – 2 days onsite in Letterkenny GDC, Co. Donegal per week

Ready to utilise your AI/ML expertise to improve financial lives of customers worldwide?
Are you looking for an exciting opportunity to grow your career with a dynamic global IT Consultancy?

Make a meaningful impact as a Lead Machine Learning Engineer!
Careers at TCS: It means more
TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
  • Grow your career, while being exposed to new technologies.
  • Be part of an exciting team where you will be challenged every day.
  • Lead projects and inspire both colleagues and stakeholders.
The Role 
As a Lead Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value.

Key responsibilities:
  • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.
  • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
  • Partner with data scientists to understand, implement, train, and design machine learning models.
  • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.
  • Construct optimised data pipelines to feed machine learning models.
  • Extend existing machine learning libraries and frameworks.
  • Develop processes, model monitoring, and governance framework for successful ML model operationalisation.
  • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.
  • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.
  • Design and implement architectural best practices in the delivery of data science use cases.

Your Profile 
Key skills/knowledge/experience:
  • Extensive software engineering experience with a strong working experience as a Machine Learning Engineer.
  • Bachelor's degree in computer science, computer engineering, or a related engineering field. Master’s degree preferred.
  • Advanced proficiency with Python framework, Java, and Scala.
  • Strong computer science fundamentals such as algorithms, data structures, multithreading.
  • In-depth experience building solutions using public clouds such as AWS, GCP.
  • Experience using ML platforms like SageMaker, H2O, DataRobot, etc.
  • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.
  • Experience managing relationships in a cross-functional environment with multiple stakeholders.
  • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud.
  • Experience working in Agile/ Scrum development process.
  • Thought leadership and innovative thinking.
  • Excellent communication and collaboration skills.

Good to have:
  • Familiarity with Generative AI concepts (LLaMA, Dall-E, ChatGPT, Bard, etc.).
  • Search platform experience (Solr, Elasticsearch, etc.).
  • Experience in building end to end recommender systems.
  • Exposure to graph databases and platforms, e.g. Neo4j.
  • Exposure to CI/CD tools like Jenkins.
  • Financial Services, particularly Insurance and 401K domain knowledge.
  • AWS Solutions Architect certification.

Rewards & Benefits 
TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature paid holiday entitlement, pension contribution, private healthcare including dental & optical coverage, life assurance and income protection, cycle-to-work scheme, exclusive discounts on gym memberships, discounted rates on car leasing options, staff discounts within the larger Tata network, and access to extensive training resources.

 Diversity, Inclusion & Wellbeing
At TCS, we believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity motto is ‘Inclusion without Exception’. 

You’ll find a welcoming culture and many internal volunteering and social networks to join. Our diversity, inclusion and social activities include LGBTQ+ and mental health networks, as well as health and wellness initiatives and sports events (we even sponsor the London Marathon). 
We are open to all and treat applications equally, regardless of ethnicity, disability, gender, age, sexual orientation, or beliefs. 

If you are an applicant who needs an accommodation due to a disability to complete an employment application, or during any phase of the hiring process, please contact us at Rebecca.mcclelland@tcs.com with the subject line: “Disability Accommodation Request”. 
Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. 
 

Join us and do more of what matters. Apply online now. 

#INDHP 
 

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