Senior ai/ml computational scientist Work, Jobs in Ealing (with Salaries)

Senior AI/ML Computational Scientist
Accenture —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
AI/ML Computational Science Senior Analyst
Accenture —London
- Full-time
- Computer Science
- Engineering
- Master's degree
Senior Principal Scientist / Director – Computational Chemistry (IDD)
Pharmaron —Hoddesdon
- Remote
- Doctoral degree
- AI
- Leadership
Quick apply
Senior AI Architect| London
Infosys —London
- Master's degree
- Analysis skills
- Machine learning
Senior Software Engineer, Chem-Bio
AI Security Institute —London
- £61,620 - £74,605 a year
- Hybrid work
- Master's degree
- Presentation skills
- Machine learning
- Annual leave
Molecular Characterisation Scientist, Biologics
Substrate Bio —London
- Full-time
- Doctoral degree
- Laboratory experience
- Master's degree
- Annual leave
Quick apply
Senior Compute Platform Engineer
GlaxoSmithKline —London
- Full-time
- Computer Science
- Engineering
- Java
Chemistry Principal Scientist
Substrate Bio —London
- Full-time
- Hybrid work
- Doctoral degree
- Annual leave
Quick apply
Head of Functional Genomics
Substrate Bio —London
- Full-time
- Hybrid work
- Annual leave
Quick apply

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Senior AI/ML Computational Scientist

Accenture -
London

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Law
Doctoral degree
Computer Science
Stakeholder collaboration
PyTorch
Internal department liaison
Master's degree
Bachelor's degree
Machine learning modelling
Distributed systems
Deep learning
Data pipeline
Software development
Cloud computing
Multidisciplinary collaboration
AI
Communication skills

Full job description

Senior AI/ML Computational Scientist

Career Level: Senior Manager / Associate Director

YOU ARE

As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

Justify the value of model approaches in business problems

Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Significant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

Established experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).

Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

Experience with the following programming languages: Python, C++, Java, R, SQL

Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

Strong client-facing skillsets in a consulting environment

Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

MS or PhD in related field preferred (computer science, engineering, etc.)

Apply Now

Refine Your Search

senior ai/ml computational scientist jobs in ealing

Senior AI/ML Computational Scientist

AI/ML Computational Science Senior Analyst

Senior Principal Scientist / Director – Computational Chemistry (IDD)

Senior AI Architect| London

Senior Software Engineer, Chem-Bio

Molecular Characterisation Scientist, Biologics

Senior Compute Platform Engineer

Chemistry Principal Scientist

Head of Functional Genomics

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