AI Engineer

TEC Partners

Oxford

1 year ago

Applications closed

Related Jobs

View all jobs

AI Engineer: NLP & Data Science for Digital Insights

AI Engineer / Data Scientist - Production ML & OCR

AI Engineer: End-to-End ML & MLOps Lead

AI Engineering Lead - GenAI, MLOps & Production (Hybrid)

Machine Learning Engineer

Microsoft AI Engineer / Azure Artificial Intelligence Engineer

AI Engineer - Hybrid - Oxford Company TEC Partners are representing a fast evolving R&D company specialising in Artificial Intelligence and Machine Learning. They are continuing their growth with the expansion of their AI department due to increased demand for their services. About this AI Engineer role As an AI Engineer, you will be a key player in our client's expansion, you will work closely with the wider AI team, providing expert knowledge and furthering the development of existing and new projects. Why work as an AI Engineer with our client? Basic salary - Negotiable dependent on experience (up to £100,000) Flexible working hours and working structure (hybrid) Share option scheme Accelerated career progression What is expected of you as an AI Engineer with our client? Ideally 4 year's experience within a similar position working in the AI space A strong academic background, ideally with a postgraduate qualification in a related field Experience with Python, MLOps, LLMs, NLP techniques and Cloud technology He ability to present new ideas effectively to senior management The ability to work in an Agile manner, as a team player Security clearance Responsibilities of an AI Engineer with our client Collaborate and work in an agile manner within the wider AI team Test and monitor the performance of software, troubleshooting bugs and making relevant patches when applicable Integrate frameworks such as Tensorflow and PyTorch Deploy LLMs and NLP techniques Stay up to date in the latest research within the AI and ML space If you are interested in this AI Engineer vacancy and you would like to hear more about it or other AI, ML, Data or Python Software Developer vacancies, please contact Stuart at TEC Partners today.

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

Industry Insights

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

Jan 18, 2026

Jobs Careers

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.

Jan 13, 2026

Jobs

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.

Jan 5, 2026

Education Jobs

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.