Software Engineer

Oho Group
Woking
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

GenAI Software Engineer/Data Scientist

Lead Software Engineer - Agentic AI/Machine Learning

A global household name within the automotive and motorsport industry are looking for a strong Software Engineer to join their team. They are trying to pioneer a better future by uniquely applying data science, design, and engineering.


This position is within the team that leverage F1 technology to deliver connectivity services and analytics to diverse clientele. As a pivotal member of the team, you'll drive innovation, crafting cutting-edge products across multiple markets such as transportation, automotive, and motorsport. Your role involves collaborative problem-solving within a multidisciplinary engineering team, alongside experts in Data Science, Simulation, Software Development, Testing, System Reliability, Systems Engineering, and Hardware..


Requirements:

  • Excellent programming skills in either Go, Python or C++
  • Strong familiarity with Linux environments and the Linux command-line
  • Understanding of TCP/IP networking fundamentals
  • Cloud infrastructure experience in AWS IoT Greengrass and IaC
  • Experience with Kubernetes and SQL
  • Frontend experience in React.js
  • Willingness and ability to collaborate with other teams
  • Strong oral and written communication skills
  • Ability to quickly grasp complex problems and turn them into productive work
  • 2+ Years relevant commercial experience



Benefits:

  • Competitive Salary
  • Private medical insurance
  • Generous pension scheme
  • 25 days’ annual leave + bank holidays
  • Additional training and personal development
  • Excellent maternity/paternity leave policy



Apply now as interviews are being scheduled!

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

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.