Senior Scientific Software Engineer

Brackenberry
Exeter
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Football Data Scientist

Founding Machine Learning Engineer

Founding Lead Machine Learning Engineer

Senior Computer Vision Engineer - up to £70,000 - ID44602

Senior Environmental Data Scientist/Hydrologist

Applied AI and Machine Learning Scientist - Senior Associate

We are working closely alongside a Local Authority inExeter to assist with the appointment of aSenior Scientific Software Engineer,on a9-month contract,highly likely to be extended at clients discretion. Please apply with your CV for immediate consideration.

Rate of Pay: £388.00 - £499.19 per day

Responsibilities:

  • Supported by the project manager, act as Scrum Master and facilitate the delivery team to work effectively.
  • Lead the development of technical plans and roadmaps for the FastNet capability
  • 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.
  • Assist, mentor and develop team members; build capability and capacity for the team.
  • Respond to pull requests; review and refactor prototype science code for efficiency and robustness
  • Work as part of a team to incorporate new scientific developments into the FastNet code base

Qualification:

  • 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.

Please note:

  • You should be available to work immediately or at a short notice.
  • You should have right to work in U.K

Disclaimer:Brackenberry Ltd is acting as an Employment Business in relation to this vacancy. We are committed to equality in the workplace and is an equal opportunity employer. Unless otherwise stated all of our roles are temporary, though opening assignments can be and often are, extended by clients on a longer term basis and can sometimes become permanent.

Important: We will interpret your application as being permission to submit your CV to this role (with the right to represent you) unless you advise us to the contrary. Incase the role requires an enhanced DBS, your DBS must be either through us or be accompanied by a subscription to the DBS updating service.

#RQ1393490

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 Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.