HCLTech
Enterprise Architect
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HCLTech is looking for a highly talented and self-motivated Enterprise Architect / Solutions Director (Data scientist) to join it in advancing the technological world through innovation and creativity.
Job Title: Enterprise Architect / Solutions Director (Data scientist)
Job ID: 145827
Position Type: Full Time
Location: Hybrid (London, UK)
Job/Role:- Enterprise Architect / Solutions Director (Data scientist)
We are seeking senior-level Data Science Leader to lead the design and delivery of advanced machine learning solutions for enterprise clients across Europe.
This role requires deep expertise in machine learning, statistical modelling, and modern deep learning architectures. You will be responsible for structuring complex problems, selecting appropriate modelling approaches, guiding architectural decisions, and delivering scalable ML solutions that generate measurable business impact. This is a hands-on technical leadership role within delivery, suited for individuals who combine strong theoretical grounding with practical enterprise implementation experience.
Key Responsibilities
- Lead end-to-end machine learning solution delivery for complex enterprise use cases
- Translate ambiguous business challenges into structured ML problem statements and solution architectures
- Design, develop, and optimise advanced machine learning models including:
- Supervised and unsupervised learning
- Ensemble methods
- Deep learning architecture
- Optimisation and probabilistic models
- Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements
- Apply knowledge of deep learning architectures such as:
- CNNs for vision use cases
- RNNs / LSTMs / GRUs for sequential data
- Transformer architectures for NLP and structured data
- Fine-tuning and transfer learning approaches
- Drive experimentation frameworks, hypothesis testing, model validation, and statistical rigor
- Ensure robustness, generalisation, bias mitigation, and explainability in deployed models
- Provide technical direction on feature engineering strategies and model performance enhancement
- Collaborate with engineering teams to transition models into scalable production systems
- Mentor data scientists and uphold modelling standards, documentation, and reproducibility best practices
- Contribute to reusable ML frameworks, accelerators, and innovation initiatives
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Required Experience & Qualifications
- 15+ years of total professional experience, including
- 8+ years of hands-on experience in machine learning and data science
- Advanced degree (Master’s or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline
- Proven experience building and deploying advanced ML and deep learning models in enterprise environments
- Deep understanding of algorithm selection, model complexity trade-offs, and overfitting/underfitting dynamics
- Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy)
- Experience with deep learning frameworks (PyTorch or TensorFlow)
- Practical knowledge of deep learning architectures (CNNs, RNNs, Transformers) and when to apply them
- Strong SQL and data manipulation capabilities
- Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark)
- Demonstrated ability to independently lead technical ML solution design
- Experience working in client-facing delivery environments
- Exposure to cloud-based ML platforms (AWS, Azure, or GCP)
- Experience in NLP, Computer Vision, time-series forecasting, or optimization.
- Experience with fine-tuning large language models or foundation models
- Familiarity with ML lifecycle management and monitoring practices.
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HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
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