National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Scientific Software Engineer

CRA GROUP RECRUITMENT AND PAYROLL LTD
Exeter
7 months ago
Applications closed

Related Jobs

View all jobs

Applied AI ML - Senior Associate - Machine Learning Engineer...

Applied AI ML - Senior Associate - Machine Learning Engineer

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Senior Software Engineer

Machine Learning Research Engineer

Principal Data Scientist

Job Description

<span style="font-size:12pt; font-family:"Times New Roman", serif">9 months contract with a Local Authority


<span style="font-size:12pt; font-family:"Times New Roman", serif">Job Summary:

  • <span style="font-size:12pt; font-family:"Times New Roman", serif">The Met Office, in partnership with the Alan Turing Institute, is developing a novel data-driven forecasting system that leverages proprietary Met Office data and recent advances in AI and machine learning for earth system modelling. A prototype atmospheric forecast model, ‘FastNet’, has achieved comparable performance to our Global Numerical Weather Prediction (NWP) system on some key measures of accuracy, and with further development has the potential to exceed the performance of traditional NWP systems, revolutionising the production of operational weather forecasts at the Met Office by offering faster, more efficient, and more accurate forecasts to help people stay safe and thrive.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">The focus for this role will be adding technical leadership to complement existing scientific leadership to an existing team of software engineers and data scientists. The role will support the existing project manager to lead on effective agile delivery practices. Further, the role will build technical understanding of the challenges around this machine learning activity and develop, and monitor against, a technical roadmap to address them. This role will need to balance the need for scientific progress with sustainability, maintainability, long-term delivery and improving the development cycle time. Contributing high quality code and reviews to the project as well as mentoring and developing junior members of the team will be part of the role.  

<span style="font-size:12pt; font-family:"Times New Roman", serif">Key Duties/Accountabilities (Sample):

  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Supported by the project manager, act as Scrum Master and facilitate the delivery team to work effectively. 
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Lead the development of technical plans and roadmaps for the FastNet capability 
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">With the assistance of the development team and project manager monitor progress against and adapt roadmaps escalating via the project manager when this effects milestones/deliverables. 
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Assist, mentor and develop team members; build capability and capacity for the team. 
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Respond to pull requests; review and refactor prototype science code for efficiency and robustness  
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Work as part of a team to incorporate new scientific developments into the FastNet code base.  
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Review and promote coding best practices for the project, including use of appropriate tools to facilitate this.  
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Maintain good documentation and promote knowledge transfer to other team members through pair programming, coaching, and team discussions. 

<span style="font-size:12pt; font-family:"Times New Roman", serif">Skills/Experience:

  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Expert knowledge of Python, knowledge of quality assurance with Python, especially testing and documentation.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Expert knowledge of agile development practices, specifically the Scrum framework.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Knowledge of developing and deploying machines learning workflows on cloud platforms such as AzureML.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Knowledge of working with large structured and unstructured datasets, ideally geospatial data.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Ability to mentor and develop others.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Show deep and/or broad relevant technical insight through facilitation of significant advances in software capability by the effective application of technical knowledge and interpersonal skills. This should include the development of sophisticated machine learning models.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Promote good Quality Assurance processes, best practice, standards and/or regulations in your work and that of others.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Communicate knowledge accurately and concisely in written documents and discussions in groups, tailoring communication for diverse audiences, and actively engage with others to understand the requirements and wider context of your work.
  • <span style="font-size:12pt; font-family:"Times New Roman", serif">Mentor, coach, train and support others in developing their technical skills, leading to improved output of individuals and the team and the career development of others.



Requirements
• Expert knowledge of Python, knowledge of quality assurance with Python, especially testing and documentation. • Expert knowledge of agile development practices, specifically the Scrum framework. • Knowledge of developing and deploying machine learning workflows on cloud platforms such as AzureML. • Knowledge of working with large structured and unstructured datasets, ideally geospatial data. • Ability to mentor and develop others. • Show deep and/or broad relevant technical insight through facilitation of significant advances in software capability by the effective application of technical knowledge and interpersonal skills. This should include the development of sophisticated machine learning models. • Promote good Quality Assurance processes, best practice, standards and/or regulations in your work and that of others. • Communicate knowledge accurately and concisely in written documents and discussions in groups, tailoring communication for diverse audiences, and actively engage with others to understand the requirements and wider context of your work. • Mentor, coach, train and support others in developing their technical skills, leading to improved output of individuals and the team and the career development of others.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.