Ai/ml computational science Work, Jobs in London, Eng (with Salaries)

AI/ML Computational Science Manager
Accenture —London
- Full-time
- Doctoral degree
- Computer Science
- Java
14d
AI/ML Computational Science Senior Analyst
Accenture —London
- Full-time
- Computer Science
- Engineering
- Java
13d
AIML Engineer, AI for Science
GlaxoSmithKline —London
- £84,000 - £140,000 a year
- Full-time
- Doctoral degree
- Engineering
- English
- Annual leave
Research Scientist (AI Behaviours)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
- Relocation assistance
- Annual leave
8d
AIML Software Engineer, AI for Science
GlaxoSmithKline —London
- £136,125 - £226,875 a year
- Full-time
- Azure
- Engineering
- English
- Annual leave
AI Scientist
Mater-AI Limited —London
- £50,000 - £55,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- English
Quick apply
7d
ML Engineer (PAD)
iProov —London
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee discount
Quick apply
14d
AI/ML Engineer
Limbic —London
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
14d
ML Engineer (CoreAI)
iProov —London
- £50,000 - £65,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee discount
Quick apply
14d
Bioinformatics Data Scientist
Engitix —London
- AWS
- Machine learning
- Scripting
Quick apply
6d
Research Associate in AI-enhanced Molecular Dynamics to Study Antibiotic Accumulation in Bacteria
Imperial College London —White City
- £49,017 - £57,472 a year
- Full-time
- Doctoral degree
- University
- Machine learning
AI NLP Engineer
Xantura —London
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
Quick apply
13d
Senior AI/ML Engineer
Limbic —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Engineering
- Annual leave
AI Infrastructure Architecture Analyst
Accenture —London
- Full-time
- Computer Science
- Engineering
- Java
13d
Molecular Characterisation Scientist, Biologics
Substrate Bio —London
- Full-time
- Doctoral degree
- Laboratory experience
- Master's degree
- Annual leave
Quick apply
4d
Founding Optimisation Engineer
Dayjobai, Inc —London
- £75,000 - £100,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Mentoring
Quick apply
6d
AI Engineer
AECOM —London
- Full-time
- Azure
- Computer Science
- Master's degree
- Employee stock purchase plan
- Annual leave
Research Engineer, Quantum Computing, DeepMind
DeepMind —London
- Doctoral degree
- Computer Science
- Bachelor's degree
Functional Genomics Scientist
Substrate Bio —London
- Full-time
- Doctoral degree
- Laboratory experience
- Maintenance
- Annual leave
Quick apply

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AI/ML Computational Science Manager

Accenture -
London

Apply Now

Job details

Full-time
14 days ago

Qualifications

TensorFlow
Law
Doctoral degree
Computer Science
PyTorch
R
System architecture
Filing
Java
Master's degree
SQL
C++
Bachelor's degree
Machine learning
Distributed systems
APIs
Cloud computing
AI
Communication skills
Python

Full job description

YOU ARE

As an 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

Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
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

ai/ml computational science jobs in london, eng

AI/ML Computational Science Manager

AI/ML Computational Science Senior Analyst

AIML Engineer, AI for Science

Research Scientist (AI Behaviours)

AIML Software Engineer, AI for Science

AI Scientist

ML Engineer (PAD)

AI/ML Engineer

Physical AI Data Scientist - QuantumBlack Labs

ML Engineer (CoreAI)

Bioinformatics Data Scientist

Research Associate in AI-enhanced Molecular Dynamics to Study Antibiotic Accumulation in Bacteria

AI NLP Engineer

Senior AI/ML Engineer

AI Infrastructure Architecture Analyst

Molecular Characterisation Scientist, Biologics

Founding Optimisation Engineer

AI Engineer

Research Engineer, Quantum Computing, DeepMind

Functional Genomics Scientist

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