Graduate Recruitment Consultant

Oho Group Ltd

London

10 months ago

Applications closed

Related Jobs

View all jobs

On-site Machine Learning Engineer Consultant — Cambridge

Remote Junior Data Analyst: Power BI in EdTech

Junior Data Analyst

Data Analyst

Data Analyst Graduate

AssistantAssociate Professor in Statistical Data Science

Graduate Recruitment Consultant - Junior Recruitment Consultant x 2. Join one of the most ambitious UK recruitment companies

Due to continued success and a new office over looking the Thames in Vauxhall we have opened up 2 x new tech recruitment consultant positions for Oho Groups ongoing expansion. Working within niche tech areas in the UK and the US we are looking for 2 x exceedingly ambitious individuals to join and impact our journey. The role will be working with the worlds leading deep tech companies, from AI/Machine Learning/Robotics/Semiconductor and Renewable Energy our clients products are at the forefront of world changing engineering and tech solutions.

You will be looking to throw everything into your career and be part of a collaborative environment where the sky is the limit. You will have excellent social skills and be confident to be able to understand and impact organisations. You will be looking for a small but growing organisation where you can truly make a difference. We are business that is built on internal progression with our entire management team being home grown from junior consultant upwards.

You will ideally have some prior sales experience in some form or a willingness to learn. You will be able to demonstrate out performing your peers in career progression, sporting achievement or academic excellence.

As the company continues to grow in 2025 there will be opportunity to work international markets and be one of the earliest members in our US office or here in the UK office.

Currently interviewing, please sending your CV for immediate review. Join one of the fastest growing companies in the UK focused on deep tech

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

Careers Jobs

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Jan 6, 2026

Education Jobs

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.