Computational engineering Work, Jobs in London (with Salaries)

AI/ML Computational Scientist
Accenture —London
- Full-time
- Doctoral degree
- Computer Science
- Java
Software Engineer (Data Platforms)
Squid —London
- £75,000 - £200,000 a year
- Full-time
- SQL
- APIs
- Python
Quick apply
8d
AI Infrastructure Junior Architect
Accenture —London
- Full-time
- Computer Science
- Engineering
- Java
Member of Technical Staff - Sandbox Service
SpaceXAI —London
- £107,000 - £262,000 a year
- Windows
- C++
- Computer networking
- Employee discount
- Life insurance
Quick apply
11d
Research Software Engineer
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- DevOps
- C++
- Annual leave
- Employee assistance programme
8d
Software Engineer
KOPE AI Ltd —London
- Full-time
- Remote
- Analysis skills
- Agile
- Communication skills
- Annual leave
Quick apply
senior AI/ML Computational Scientist
Accenture —London
- Full-time
- Doctoral degree
- Computer Science
- Java
8d
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
Software Engineer, Infrastructure
Normal Computing Corporation —London
- £185,000 - £285,000 a year
- Full-time
- Hybrid work
- APIs
- IT
- AI
Principal Computational Methodologist (UK)
UCB —Slough
- Doctoral degree
- Computer Science
- Engineering
Hardware Engineer, Architect
Normal Computing Corporation —London
- £234,001 - £298,252 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences
University College London —London
- £54,931 - £76,244 a year
- Full-time
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
9d
Research Engineer, Quantum Computing, DeepMind
DeepMind —London
- Doctoral degree
- Computer Science
- Bachelor's degree
Quant Research Internship
G-Research —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Annual leave
2d
Scientist in Quantum Computing and Machine Learning
NPL —Teddington
- Master's degree
- Machine learning
- No degree
Research Scientist/Engineer (Agentic Systems)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
- Relocation assistance
- Annual leave
Graduate CFD Engineer
HDR —London
- Full-time
- Engineering
- IT
- Mechanical knowledge
1d
Lead Engineer (Back-End)
TransitionZero —London
- £87,000 - £95,000 a year
- Hybrid work
- Mentoring
- Software development
- APIs
Quick apply
AI Language Engineer II, Alexa for Shopping Lang-Tech
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree
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

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AI/ML Computational Scientist

Accenture -
London

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Law
Doctoral degree
Computer Science
PyTorch
R
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 DevOps & MLOps 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

Proven 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

Hands-on 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

computational engineering jobs in london

AI/ML Computational Scientist

Software Engineer (Data Platforms)

AI Infrastructure Junior Architect

Member of Technical Staff - Sandbox Service

Research Software Engineer

Software Engineer

senior AI/ML Computational Scientist

Physical AI Data Scientist - QuantumBlack Labs

Software Engineer, Infrastructure

Principal Computational Methodologist (UK)

Hardware Engineer, Architect

Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences

Research Engineer, Quantum Computing, DeepMind

Quant Research Internship

Scientist in Quantum Computing and Machine Learning

Research Scientist/Engineer (Agentic Systems)

Graduate CFD Engineer

Lead Engineer (Back-End)

AI Language Engineer II, Alexa for Shopping Lang-Tech

ML Engineer (PAD)

I want to receive the latest job alerts for computational engineering in london

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