Computational engineering Work, Jobs in London, Eng (with Salaries)

Lead Engineer (Back-End)
TransitionZero —London
- £87,000 - £95,000 a year
- Hybrid work
- DevOps
- Team management
Quick apply
Research Fellow in Computational Electromagnetics
University College London —London
- £45,103 a year
- Full-time
- Doctoral degree
- Engineering
- Research
- Annual leave
- Employee assistance programme
10d
Associate Director, Data Scientist
Fitch Solutions —London
- DevOps
- Agile
- AI
AI Research Engineer
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
4d
AIML Engineer, AI for Science
GlaxoSmithKline —London
- £84,000 - £140,000 a year
- Full-time
- Doctoral degree
- Engineering
- English
- Annual leave
AI/ML Engineer
Limbic —London
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
Technology Procurement Specialist
XTX Markets —London
- Engineering
- Bachelor's degree
- Organisational skills
- Annual leave
- Sick pay
4d
Mechanical Engineer, London-Cambridge area (Ph.D.)
Exponent Inc. —London
- Full-time
- Doctoral degree
- Laboratory experience
- In-person
Research Fellow: AI for Molecular Modelling
Brunel University —London
- £41,292 - £48,557 a year
- Full-time
- Hybrid work
- Research
- University
- Machine learning
- Annual leave
7h
Research Associate in Automated Workflows for Nanogel Screening
Imperial College London —White City
- £49,017 - £57,472 a year
- Full-time
- Doctoral degree
- Research
- Machine learning
Principal Engineer - Thermal Sciences (MS/PhD)
Exponent Inc. —London
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Assistant Design Engineer [E&P] [EMC]
Network Rail —Blackfriars Station
- £30,904 - £39,000 a year
- Full-time
- Hybrid work
- Engineering
- Mentoring
- Electrical Engineering
- Free parking
- Annual leave
3d
Compute Platform Engineer II
GlaxoSmithKline —London
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Lead Engineer, Risk Technology
Bullish Global —London
- Full-time
- Computer Science
- Analysis skills
- Maths
Research Scientist (AI Behaviours)
White Circle —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Relocation assistance
- Annual leave
Senior O-RAN Engineer
AWTG —London
- Full-time
- Doctoral degree
- Engineering
- Research
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
Machine Learning Engineer 3D Geometry/ Multi-Modal
Autodesk —London
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
14d
Quantitative Trading & Research - Credit Portfolio - Quantitative Developer - Associate or Vice President
JPMorganChase —London
- Full-time
- Doctoral degree
- Engineering
- Machine learning
Machine Learning Engineer
BeyondMath —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply

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Lead Engineer (Back-End)

TransitionZero
London

Quick apply

Job details

£87,000 - £95,000 a year

Qualifications

CI/CD
Cloud infrastructure
Stakeholder collaboration
IT team management
DevOps
Mentoring junior staff
NumPy
Microservices
Pandas
CI/CD pipelines
Team management
Terraform
Back-end development
Scrum
Professional development mentoring
Multidisciplinary collaboration
Technical roadmaps
DevOps implementation
Infrastructure provisioning automation
Terraform provisioning

Full job description

About the Role

We are looking for an experienced Lead Engineer (back-end) to lead the team building and scaling the infrastructure behind Scenario Builder, our electricity grid modelling platform. Scenario Builder is an in-browser platform that currently provides capacity expansion and dispatch modelling through an accessible no-code interface. The vision for Scenario Builder is to expand into power flow modelling to create a fully integrated grid modelling platform with the features and functionality needed to enable users to develop bankable scenarios that support energy investment decisions.

You will line-manage a small team of engineers while remaining a highly active individual contributor. You will own the technical shape of engineering work on the back-end team — leading planning, architecture, and code quality. You will work closely with the wider product and engineering team to design, develop, and maintain the back-end services that power our platform.

This hybrid role is based out of our London office near Waterloo Station and reports to the Head of Platform.

Responsibilities

Back-end development & architecture

Design, develop, and maintain scalable back-end services and APIs using Python and modern frameworks (FastAPI).
Design and build high-performance API endpoints to handle complex hierarchical data queries and multi-dimensional aggregations for grid modelling computations
Ensure system reliability, performance, and security through best practices in code quality, testing, and monitoring.
Collaborate with front-end engineers to design and implement RESTful APIs that support our web application.
Collaborate with data engineers and domain experts on the evolving core data model

Infrastructure & DevOps

Manage and optimise cloud infrastructure (GCP) to support our computational workloads.
Implement and maintain CI/CD pipelines to enable rapid, reliable deployments.
Monitor system health and performance, proactively identifying and resolving issues.
Implement and maintain infrastructure-as-code

Technical leadership & collaboration

Participate and lead in code reviews, architectural discussions, and technical planning sessions.
Own technical planning: break down roadmap items into well-scoped engineering work, lead estimation, and drive architectural decision records (ADRs).
Collaborate with cross-functional teams, including product, data engineering, and modelling, to deliver impactful features.
Set and uphold the team's technical standards — code quality, testing strategy, API design — through direct example and code review.

People & line management

Line-manage a team of 3–5 engineers: run regular 1:1s, support career development, and provide timely, constructive feedback.
Partner with the Head of Platform on performance reviews and personal development plans.
Act as the first point of escalation for day-to-day technical blockers

About You

You should have a long-term commitment to advancing the energy transition and be driven to build robust, scalable systems that power our grid modelling platform. Passionate about creating highly performant back-end services, you understand the technical challenges associated with building niche B2B products that handle complex computational workloads. In addition to seeking out people with a proactive, problem-solving attitude and an eye for detail, as a growing organisation, collegiality and empathy for our coworkers are a requisite. While we are a rapidly growing tech startup, we are also a non-profit, so a high level of adaptability and willingness to approach challenges with creativity and curiosity is essential.

Skills & Experience

Essential

7+ years of experience in back-end software development, with strong proficiency in Python.
Experience designing and building RESTful APIs and microservices architectures.
Strong understanding of database technologies (PostgreSQL, Redis, Firestore), ORMs and data modelling principles.
Experience with cloud platforms (preferably GCP) and containerisation technologies (Docker).
Solid understanding of software engineering best practices, including testing, code review, and documentation.
Excellent problem-solving skills and ability to work independently on complex technical challenges.
Experience line managing or formally mentoring engineers, with confidence running 1:1s and supporting career development.
Understanding of OAuth and web security best practices.
Experience with AGILE/Scrum based ways-of-working

Desirable

Experience in the energy sector or with computational modelling/simulation software.
Familiarity with scientific computing libraries (NumPy, Pandas) and optimisation frameworks.
Experience with generative AI/LLMs in applied engineering contexts
Experience with infrastructure-as-code tools (Terraform, Terragrunt) and GitOps practices.

About us

TransitionZero is a climate tech non-profit founded in 2021. TransitionZero builds software to reduce the time to build clean energy at scale. We pioneer open-access and open-source tools that make electricity system modelling more transparent, accessible, and actionable for governments, financiers and grid operators worldwide.

Our flagship tool, Scenario Builder, enables policymakers, planners and investors to rapidly build, analyse and share energy system and electricity grid models without coding expertise or external consultants. Supported by model-ready datasets, training and market insights, our tools strengthen in-house capacity and support resilient, affordable and locally-led energy transitions.

Quick apply

Refine Your Search

computational engineering jobs in london, eng

Lead Engineer (Back-End)

Research Fellow in Computational Electromagnetics

Associate Director, Data Scientist

AI Research Engineer

AIML Engineer, AI for Science

AI/ML Engineer

Technology Procurement Specialist

Mechanical Engineer, London-Cambridge area (Ph.D.)

Research Fellow: AI for Molecular Modelling

Research Associate in Automated Workflows for Nanogel Screening

Principal Engineer - Thermal Sciences (MS/PhD)

Assistant Design Engineer [E&P] [EMC]

Compute Platform Engineer II

Lead Engineer, Risk Technology

Research Scientist (AI Behaviours)

Senior O-RAN Engineer

ML Engineer (PAD)

Machine Learning Engineer 3D Geometry/ Multi-Modal

Quantitative Trading & Research - Credit Portfolio - Quantitative Developer - Associate or Vice President

Machine Learning Engineer

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